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Conversion V1
Browse filesUpdate README.md
Update app.py
Upload version_info.py
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Update requirements.txt
Update app.py
- .gitattributes +5 -0
- .gitignore +167 -0
- LUT/BlackWhite.cube +0 -0
- LUT/CineCold.cube +0 -0
- LUT/CineDrama.cube +0 -0
- LUT/CineVibrant.cube +0 -0
- LUT/CineWarm.cube +0 -0
- LUT/Depth_of_Field.cube +0 -0
- LUT/Glow_Highlights.cube +0 -0
- LUT/RedWhiteBlue.cube +0 -0
- LUT/daisy.jpg +3 -0
- LUT/grayscale.cube +0 -0
- LUT/scenery01.cube +0 -0
- README.md +62 -6
- app.py +1715 -38
- assets/Beeuty-1.png +3 -0
- assets/examples/favicon.ico +0 -0
- assets/examples/hex_flower_logo.png +3 -0
- assets/examples/hex_map_p1.png +3 -0
- assets/examples/hex_map_p1_overlayed.png +3 -0
- assets/examples/hexed_fract_1.png +3 -0
- assets/examples/tmpzt3mblvk.png +3 -0
- assets/favicon.ico +0 -0
- images/Beeuty-1.png +3 -0
- images/logo.png +3 -0
- images/logo_hex.png +3 -0
- images/prerendered/elevated_peninsula_1.png +3 -0
- images/prerendered/grid_1.png +3 -0
- images/prerendered/hex_grass_dirty.png +3 -0
- images/prerendered/hex_mixed_elevations_battlefield_1.png +3 -0
- images/prerendered/hex_mixed_elevations_battlefield_2.png +3 -0
- images/prerendered/oasis_mixed_elevations_1.png +3 -0
- images/prerendered/pic526383.png +3 -0
- images/prerendered/roadway_1.png +3 -0
- modules/color_utils.py +214 -0
- modules/constants.py +359 -0
- modules/image_utils.py +687 -0
- modules/version_info.py +118 -0
- requirements.txt +12 -4
- style_20250128.css +127 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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################################################################################
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# This .gitignore file was automatically created by Microsoft(R) Visual Studio.
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################################################################################
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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coverage.xml
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target/
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# Jupyter Notebook
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profile_default/
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ipython_config.py
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__pypackages__/
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celerybeat-schedule
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celerybeat.pid
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*.sage.py
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.env
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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.pytype/
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cython_debug/
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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#.idea/
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/.vs
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/.vs
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/src/__pycache__
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/utils/__pycache__
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/__pycache__
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/temp_models
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LUT/BlackWhite.cube
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LUT/CineCold.cube
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LUT/CineDrama.cube
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LUT/CineVibrant.cube
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LUT/CineWarm.cube
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LUT/Depth_of_Field.cube
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LUT/Glow_Highlights.cube
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LUT/RedWhiteBlue.cube
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LUT/daisy.jpg
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![]() |
Git LFS Details
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LUT/grayscale.cube
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LUT/scenery01.cube
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README.md
CHANGED
@@ -1,14 +1,70 @@
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---
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-
title:
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: true
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license: creativeml-openrail-m
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short_description:
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: Hex Game Maker
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emoji: 🌖
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colorFrom: yellow
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colorTo: purple
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sdk: gradio
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sdk_version: 5.16.0
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app_file: app.py
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pinned: true
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license: creativeml-openrail-m
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short_description: '[ 250+ Impressive LoRA For Flux ]'
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thumbnail: >-
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https://cdn-uploads.huggingface.co/production/uploads/6346595c9e5f0fe83fc60444/9dqqr3iMjoNdXWzDTV42-.png
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---
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# List of Flux Dev LoRA Repositories Used as of Now
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| No. | Repository Name | Link |
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| --- | --------------- | ---- |
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| 1 | Canopus-LoRA-Flux-FaceRealism | [Link](https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-FaceRealism) |
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| 2 | softserve_anime | [Link](https://huggingface.co/alvdansen/softserve_anime) |
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| 3 | Canopus-LoRA-Flux-Anime | [Link](https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-Anime) |
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| 4 | FLUX.1-dev-LoRA-One-Click-Creative-Template | [Link](https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-One-Click-Creative-Template) |
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| 5 | Canopus-LoRA-Flux-UltraRealism-2.0 | [Link](https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0) |
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| 6 | Flux-Game-Assets-LoRA-v2 | [Link](https://huggingface.co/gokaygokay/Flux-Game-Assets-LoRA-v2) |
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| 7 | softpasty-flux-dev | [Link](https://huggingface.co/alvdansen/softpasty-flux-dev) |
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| 8 | FLUX.1-dev-LoRA-add-details | [Link](https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-add-details) |
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| 9 | frosting_lane_flux | [Link](https://huggingface.co/alvdansen/frosting_lane_flux) |
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| 10 | flux-ghibsky-illustration | [Link](https://huggingface.co/aleksa-codes/flux-ghibsky-illustration) |
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| 11 | FLUX.1-dev-LoRA-Dark-Fantasy | [Link](https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Dark-Fantasy) |
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| 12 | Flux_1_Dev_LoRA_Paper-Cutout-Style | [Link](https://huggingface.co/Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style) |
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| 13 | mooniverse | [Link](https://huggingface.co/alvdansen/mooniverse) |
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| 14 | pola-photo-flux | [Link](https://huggingface.co/alvdansen/pola-photo-flux) |
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| 15 | flux-tarot-v1 | [Link](https://huggingface.co/multimodalart/flux-tarot-v1) |
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| 16 | Flux-Dev-Real-Anime-LoRA | [Link](https://huggingface.co/prithivMLmods/Flux-Dev-Real-Anime-LoRA) |
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| 17 | Flux_Sticker_Lora | [Link](https://huggingface.co/diabolic6045/Flux_Sticker_Lora) |
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| 18 | flux-RealismLora | [Link](https://huggingface.co/XLabs-AI/flux-RealismLora) |
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| 19 | flux-koda | [Link](https://huggingface.co/alvdansen/flux-koda) |
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| 20 | Cine-Aesthetic | [Link](https://huggingface.co/mgwr/Cine-Aesthetic) |
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| 21 | flux_cute3D | [Link](https://huggingface.co/SebastianBodza/flux_cute3D) |
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| 22 | flux_dreamscape | [Link](https://huggingface.co/bingbangboom/flux_dreamscape) |
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| 23 | Canopus-Cute-Kawaii-Flux-LoRA | [Link](https://huggingface.co/prithivMLmods/Canopus-Cute-Kawaii-Flux-LoRA) |
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| 24 | Flux-Pastel-Anime | [Link](https://huggingface.co/Raelina/Flux-Pastel-Anime) |
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| 25 | FLUX.1-dev-LoRA-Vector-Journey | [Link](https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Vector-Journey) |
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| 26 | flux-miniature-worlds | [Link](https://huggingface.co/bingbangboom/flux-miniature-worlds) |
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| 27 | bingbangboom_flux_surf | [Link](https://huggingface.co/glif-loradex-trainer/bingbangboom_flux_surf) |
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+
| 28 | Canopus-Snoopy-Charlie-Brown-Flux-LoRA | [Link](https://huggingface.co/prithivMLmods/Canopus-Snoopy-Charlie-Brown-Flux-LoRA) |
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+
| 29 | sonny-anime-fixed | [Link](https://huggingface.co/alvdansen/sonny-anime-fixed) |
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| 30 | flux-multi-angle | [Link](https://huggingface.co/davisbro/flux-multi-angle) |
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+
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& More ...
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# Space Inspired From
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| No. | Feature/Component | Description |
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| --- | ----------------- | ----------- |
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| 1 | **Title** | Flux LoRA The Explorer |
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| 2 | **Model** | LoRA Fine-tuning with the Flux Model |
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59 |
+
| 3 | **Exploration Mode** | Explore fine-tuned models within the Flux framework |
|
60 |
+
| 4 | **Interactivity** | Allows users to experiment with different LoRA models |
|
61 |
+
| 5 | **UI** | Clean interface inspired by multimodal designs |
|
62 |
+
| 6 | **Main Functionality** | Generate images using custom-trained LoRA models in Flux |
|
63 |
+
| 7 | **Usage Options** | Various models for selection and generation within the app |
|
64 |
+
| 8 | **Integration** | Hugging Face integration for easy access to pre-trained models |
|
65 |
+
| 9 | **Examples** | Provides image samples for user inspiration |
|
66 |
+
| 10 | **Customization** | User can modify prompts and parameters to explore model creativity |
|
67 |
+
| 11 | **Space URL** | [flux-lora-the-explorer](https://huggingface.co/spaces/multimodalart/flux-lora-the-explorer) |
|
68 |
+
|
69 |
+
|
70 |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
app.py
CHANGED
@@ -11,6 +11,7 @@ import torch
|
|
11 |
from PIL import Image
|
12 |
import gradio as gr
|
13 |
|
|
|
14 |
from diffusers import (
|
15 |
DiffusionPipeline,
|
16 |
AutoencoderTiny,
|
@@ -25,8 +26,26 @@ from huggingface_hub import (
|
|
25 |
ModelCard,
|
26 |
snapshot_download)
|
27 |
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28 |
import spaces
|
29 |
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|
30 |
def calculate_shift(
|
31 |
image_seq_len,
|
32 |
base_seq_len: int = 256,
|
@@ -181,8 +200,155 @@ def flux_pipe_call_that_returns_an_iterable_of_images(
|
|
181 |
torch.cuda.empty_cache()
|
182 |
yield self.image_processor.postprocess(image, output_type=output_type)[0]
|
183 |
|
184 |
-
|
185 |
loras = [
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|
186 |
#1
|
187 |
{
|
188 |
"image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-FaceRealism/resolve/main/images/11.png",
|
@@ -199,10 +365,10 @@ loras = [
|
|
199 |
},
|
200 |
#3
|
201 |
{
|
202 |
-
"image": "https://huggingface.co/prithivMLmods/
|
203 |
-
"title": "
|
204 |
-
"repo": "prithivMLmods/
|
205 |
-
"trigger_word": "
|
206 |
},
|
207 |
#4
|
208 |
{
|
@@ -213,7 +379,7 @@ loras = [
|
|
213 |
},
|
214 |
#5
|
215 |
{
|
216 |
-
"image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0/resolve/main/images/
|
217 |
"title": "Ultra Realism",
|
218 |
"repo": "prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0",
|
219 |
"trigger_word": "Ultra realistic"
|
@@ -241,10 +407,10 @@ loras = [
|
|
241 |
},
|
242 |
#9
|
243 |
{
|
244 |
-
"image": "https://huggingface.co/
|
245 |
-
"title": "
|
246 |
-
"repo": "
|
247 |
-
"trigger_word": "
|
248 |
},
|
249 |
#10
|
250 |
{
|
@@ -339,7 +505,7 @@ loras = [
|
|
339 |
},
|
340 |
#23
|
341 |
{
|
342 |
-
"image": "https://huggingface.co/prithivMLmods/Canopus-
|
343 |
"title": "Cute Kawaii",
|
344 |
"repo": "prithivMLmods/Canopus-Cute-Kawaii-Flux-LoRA",
|
345 |
"trigger_word": "cute-kawaii"
|
@@ -363,6 +529,7 @@ loras = [
|
|
363 |
"image": "https://huggingface.co/bingbangboom/flux-miniature-worlds/resolve/main/images/2.jpg",
|
364 |
"title": "Miniature",
|
365 |
"repo": "bingbangboom/flux-miniature-worlds",
|
|
|
366 |
"trigger_word": "Image in the style of MNTRWRLDS"
|
367 |
},
|
368 |
#27
|
@@ -370,6 +537,7 @@ loras = [
|
|
370 |
"image": "https://huggingface.co/glif-loradex-trainer/bingbangboom_flux_surf/resolve/main/samples/1729012111574__000002000_0.jpg",
|
371 |
"title": "Surf Bingbangboom",
|
372 |
"repo": "glif-loradex-trainer/bingbangboom_flux_surf",
|
|
|
373 |
"trigger_word": "SRFNGV01"
|
374 |
},
|
375 |
#28
|
@@ -391,9 +559,1530 @@ loras = [
|
|
391 |
"image": "https://huggingface.co/davisbro/flux-multi-angle/resolve/main/multi-angle-examples/3.png",
|
392 |
"title": "Multi Angle",
|
393 |
"repo": "davisbro/flux-multi-angle",
|
394 |
-
"trigger_word": "
|
395 |
-
}
|
396 |
-
#
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397 |
]
|
398 |
|
399 |
#--------------------------------------------------Model Initialization-----------------------------------------------------------------------------------------#
|
@@ -459,7 +2148,7 @@ def update_selection(evt: gr.SelectData, width, height):
|
|
459 |
height,
|
460 |
)
|
461 |
|
462 |
-
@spaces.GPU(duration=
|
463 |
def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress):
|
464 |
pipe.to("cuda")
|
465 |
generator = torch.Generator(device="cuda").manual_seed(seed)
|
@@ -496,10 +2185,10 @@ def generate_image_to_image(prompt_mash, image_input_path, image_strength, steps
|
|
496 |
).images[0]
|
497 |
return final_image
|
498 |
|
499 |
-
@spaces.GPU(duration=
|
500 |
def run_lora(prompt, image_input, image_strength, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
|
501 |
if selected_index is None:
|
502 |
-
raise gr.Error("You must select a LoRA before proceeding
|
503 |
selected_lora = loras[selected_index]
|
504 |
lora_path = selected_lora["repo"]
|
505 |
trigger_word = selected_lora["trigger_word"]
|
@@ -557,8 +2246,10 @@ def get_huggingface_safetensors(link):
|
|
557 |
base_model = model_card.data.get("base_model")
|
558 |
print(base_model)
|
559 |
|
|
|
560 |
if((base_model != "black-forest-labs/FLUX.1-dev") and (base_model != "black-forest-labs/FLUX.1-schnell")):
|
561 |
raise Exception("Flux LoRA Not Found!")
|
|
|
562 |
# Only allow "black-forest-labs/FLUX.1-dev"
|
563 |
#if base_model != "black-forest-labs/FLUX.1-dev":
|
564 |
#raise Exception("Only FLUX.1-dev is supported, other LoRA models are not allowed!")
|
@@ -632,32 +2323,16 @@ def remove_custom_lora():
|
|
632 |
|
633 |
run_lora.zerogpu = True
|
634 |
|
635 |
-
|
636 |
-
|
637 |
-
#gen_column{align-self: stretch}
|
638 |
-
#title{text-align: center}
|
639 |
-
#title h1{font-size: 3em; display:inline-flex; align-items:center}
|
640 |
-
#title img{width: 100px; margin-right: 0.5em}
|
641 |
-
#gallery .grid-wrap{height: 10vh}
|
642 |
-
#lora_list{background: var(--block-background-fill);padding: 0 1em .3em; font-size: 90%}
|
643 |
-
.card_internal{display: flex;height: 100px;margin-top: .5em}
|
644 |
-
.card_internal img{margin-right: 1em}
|
645 |
-
.styler{--form-gap-width: 0px !important}
|
646 |
-
#progress{height:30px}
|
647 |
-
#progress .generating{display:none}
|
648 |
-
.progress-container {width: 100%;height: 30px;background-color: #f0f0f0;border-radius: 15px;overflow: hidden;margin-bottom: 20px}
|
649 |
-
.progress-bar {height: 100%;background-color: #4f46e5;width: calc(var(--current) / var(--total) * 100%);transition: width 0.5s ease-in-out}
|
650 |
-
'''
|
651 |
-
|
652 |
-
with gr.Blocks(theme="prithivMLmods/Minecraft-Theme", css=css, delete_cache=(60, 3600)) as app:
|
653 |
title = gr.HTML(
|
654 |
-
"""<h1>
|
655 |
elem_id="title",
|
656 |
)
|
657 |
selected_index = gr.State(None)
|
658 |
with gr.Row():
|
659 |
with gr.Column(scale=3):
|
660 |
-
prompt = gr.Textbox(label="Prompt", lines=1, placeholder="
|
661 |
with gr.Column(scale=1, elem_id="gen_column"):
|
662 |
generate_button = gr.Button("Generate", variant="primary", elem_id="gen_btn")
|
663 |
with gr.Row():
|
@@ -698,6 +2373,8 @@ with gr.Blocks(theme="prithivMLmods/Minecraft-Theme", css=css, delete_cache=(60,
|
|
698 |
randomize_seed = gr.Checkbox(True, label="Randomize seed")
|
699 |
seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
|
700 |
lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=3, step=0.01, value=0.95)
|
|
|
|
|
701 |
|
702 |
gallery.select(
|
703 |
update_selection,
|
@@ -721,4 +2398,4 @@ with gr.Blocks(theme="prithivMLmods/Minecraft-Theme", css=css, delete_cache=(60,
|
|
721 |
)
|
722 |
|
723 |
app.queue()
|
724 |
-
app.launch()
|
|
|
11 |
from PIL import Image
|
12 |
import gradio as gr
|
13 |
|
14 |
+
|
15 |
from diffusers import (
|
16 |
DiffusionPipeline,
|
17 |
AutoencoderTiny,
|
|
|
26 |
ModelCard,
|
27 |
snapshot_download)
|
28 |
|
29 |
+
from diffusers.utils import load_image
|
30 |
+
|
31 |
+
from modules.version_info import (
|
32 |
+
versions_html,
|
33 |
+
#initialize_cuda,
|
34 |
+
#release_torch_resources,
|
35 |
+
#get_torch_info
|
36 |
+
)
|
37 |
+
|
38 |
import spaces
|
39 |
|
40 |
+
#---if workspace = local or colab---
|
41 |
+
|
42 |
+
# Authenticate with Hugging Face
|
43 |
+
# from huggingface_hub import login
|
44 |
+
|
45 |
+
# Log in to Hugging Face using the provided token
|
46 |
+
# hf_token = 'hf-token-authentication'
|
47 |
+
# login(hf_token)
|
48 |
+
|
49 |
def calculate_shift(
|
50 |
image_seq_len,
|
51 |
base_seq_len: int = 256,
|
|
|
200 |
torch.cuda.empty_cache()
|
201 |
yield self.image_processor.postprocess(image, output_type=output_type)[0]
|
202 |
|
203 |
+
#------------------------------------------------------------------------------------------------------------------------------------------------------------#
|
204 |
loras = [
|
205 |
+
#Super-Realism
|
206 |
+
{
|
207 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Super-Realism-LoRA/resolve/main/images/1.png",
|
208 |
+
"title": "Super Realism",
|
209 |
+
"repo": "strangerzonehf/Flux-Super-Realism-LoRA",
|
210 |
+
"weights": "super-realism.safetensors",
|
211 |
+
"trigger_word": "Super Realism"
|
212 |
+
},
|
213 |
+
#Dalle-Mix
|
214 |
+
{
|
215 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-Dalle-Mix-LoRA/resolve/main/images/D3.png",
|
216 |
+
"title": "Dalle Mix",
|
217 |
+
"repo": "prithivMLmods/Flux-Dalle-Mix-LoRA",
|
218 |
+
"weights": "dalle-mix.safetensors",
|
219 |
+
"trigger_word": "dalle-mix"
|
220 |
+
},
|
221 |
+
#Datou1111/shou_xin
|
222 |
+
{
|
223 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Ultimate-LoRA-Collection/resolve/main/images/example_aqz3dv60n.jpeg",
|
224 |
+
"title": "SHOU_XIN",
|
225 |
+
"repo": "Datou1111/shou_xin",
|
226 |
+
"weights": "shou_xin.safetensors",
|
227 |
+
"trigger_word": "shou_xin, pencil sketch"
|
228 |
+
},
|
229 |
+
#smudge
|
230 |
+
{
|
231 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Sketch-Smudge-LoRA/resolve/main/images/5.png",
|
232 |
+
"title": "Sketch_Smudge",
|
233 |
+
"repo": "strangerzonehf/Flux-Sketch-Smudge-LoRA",
|
234 |
+
"weights": "Sketch-Smudge.safetensors",
|
235 |
+
"trigger_word": " Sketch Smudge"
|
236 |
+
},
|
237 |
+
#anime-v1
|
238 |
+
{
|
239 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Animeo-v1-LoRA/resolve/main/images/A4.png",
|
240 |
+
"title": "Animeo Mix",
|
241 |
+
"repo": "strangerzonehf/Flux-Animeo-v1-LoRA",
|
242 |
+
"weights": "Animeo.safetensors",
|
243 |
+
"trigger_word": "Animeo"
|
244 |
+
},
|
245 |
+
#anime-v2
|
246 |
+
{
|
247 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Animex-v2-LoRA/resolve/main/images/A33.png",
|
248 |
+
"title": "Animex Mix",
|
249 |
+
"repo": "strangerzonehf/Flux-Animex-v2-LoRA",
|
250 |
+
"weights": "Animex.safetensors",
|
251 |
+
"trigger_word": "Animex"
|
252 |
+
},
|
253 |
+
#Super Portrait
|
254 |
+
{
|
255 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Super-Portrait-LoRA/resolve/main/images/3.png",
|
256 |
+
"title": "Super Portraits",
|
257 |
+
"repo": "strangerzonehf/Flux-Super-Portrait-LoRA",
|
258 |
+
"weights": "Super-Portrait.safetensors",
|
259 |
+
"trigger_word": "Super Portrait"
|
260 |
+
},
|
261 |
+
#Super-Blend
|
262 |
+
{
|
263 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Super-Blend-LoRA/resolve/main/images/SB1.png",
|
264 |
+
"title": "Super Blend",
|
265 |
+
"repo": "strangerzonehf/Flux-Super-Blend-LoRA",
|
266 |
+
"weights": "Super-Blend.safetensors",
|
267 |
+
"trigger_word": "Super Blend"
|
268 |
+
},
|
269 |
+
#3DXL P@1
|
270 |
+
{
|
271 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-0001/resolve/main/images/4.png",
|
272 |
+
"title": "3DXLP1",
|
273 |
+
"repo": "strangerzonehf/Flux-3DXL-Partfile-0001",
|
274 |
+
"weights": "3DXLP1.safetensors",
|
275 |
+
"trigger_word": "3DXLP1"
|
276 |
+
},
|
277 |
+
#Mixer2.0
|
278 |
+
{
|
279 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/3.png",
|
280 |
+
"title": "Midjourney Mix 2",
|
281 |
+
"repo": "strangerzonehf/Flux-Midjourney-Mix2-LoRA",
|
282 |
+
"weights": "mjV6.safetensors",
|
283 |
+
"trigger_word": "MJ v6"
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-Long-Toon-LoRA/resolve/main/images/LT5.png",
|
287 |
+
"title": "Long Toons",
|
288 |
+
"repo": "prithivMLmods/Flux-Long-Toon-LoRA",
|
289 |
+
"weights": "Long-Toon.safetensors",
|
290 |
+
"trigger_word": "Long toons"
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Cute-3D-Kawaii-LoRA/resolve/main/images/CK3.png",
|
294 |
+
"title": "Cute 3D Kawaii",
|
295 |
+
"repo": "strangerzonehf/Flux-Cute-3D-Kawaii-LoRA",
|
296 |
+
"weights": "Cute-3d-Kawaii.safetensors",
|
297 |
+
"trigger_word": "Cute 3d Kawaii"
|
298 |
+
},
|
299 |
+
|
300 |
+
{
|
301 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Isometric-3D-LoRA/resolve/main/images/ID2.png",
|
302 |
+
"title": "Isometric 3D",
|
303 |
+
"repo": "strangerzonehf/Flux-Isometric-3D-LoRA",
|
304 |
+
"weights": "Isometric-3D.safetensors",
|
305 |
+
"trigger_word": "Isometric 3D"
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-Toonic-2.5D-LoRA/resolve/main/images/T2.png",
|
309 |
+
"title": "Toon 2.5D",
|
310 |
+
"repo": "prithivMLmods/Flux-Toonic-2.5D-LoRA",
|
311 |
+
"weights": "toonic2.5D.safetensors",
|
312 |
+
"trigger_word": "toonic 2.5D"
|
313 |
+
},
|
314 |
+
{
|
315 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-YWL-Realism-LoRA/resolve/main/images/R3.png",
|
316 |
+
"title": "YWL Realism",
|
317 |
+
"repo": "strangerzonehf/Flux-YWL-Realism-LoRA",
|
318 |
+
"weights": "ywl-realism.safetensors",
|
319 |
+
"trigger_word": "ylw realism"
|
320 |
+
},
|
321 |
+
#chill-guy
|
322 |
+
{
|
323 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-Chill-Guy-Zone/resolve/main/images/8.png",
|
324 |
+
"title": "Chill Guy",
|
325 |
+
"repo": "prithivMLmods/Flux-Chill-Guy-Zone",
|
326 |
+
"weights": "chill-guy.safetensors",
|
327 |
+
"trigger_word": "chill guy"
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"image": "https://huggingface.co/p1atdev/flux.1-schnell-pvc-style-lora/resolve/main/images/flux_lora_00221_.png",
|
331 |
+
"title": "Anime PVC Style",
|
332 |
+
"repo": "p1atdev/flux.1-schnell-pvc-style-lora",
|
333 |
+
"weights": "pvc-shnell-7250+7500.safetensors",
|
334 |
+
"trigger_word": "pvc figure, nendoroid, figma"
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-C4C-Design-LoRA/resolve/main/images/4.png",
|
338 |
+
"title": "Smiley C4C",
|
339 |
+
"repo": "strangerzonehf/Flux-C4C-Design-LoRA",
|
340 |
+
"weights": "Smiley-C4C.safetensors",
|
341 |
+
"trigger_word": "Smiley C4C"
|
342 |
+
},
|
343 |
+
#-----------------------------------------------------------------------------------LoRA's----------------------------------------------------------------------#
|
344 |
+
#0
|
345 |
+
{
|
346 |
+
"image": "https://huggingface.co/prithivMLmods/Purple-Dreamy-Flux-LoRA/resolve/main/images/PD3.png",
|
347 |
+
"title": "Purple Dream",
|
348 |
+
"repo": "prithivMLmods/Purple-Dreamy-Flux-LoRA",
|
349 |
+
"weights": "Purple-Dreamy.safetensors",
|
350 |
+
"trigger_word": "Purple Dreamy"
|
351 |
+
},
|
352 |
#1
|
353 |
{
|
354 |
"image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-FaceRealism/resolve/main/images/11.png",
|
|
|
365 |
},
|
366 |
#3
|
367 |
{
|
368 |
+
"image": "https://huggingface.co/prithivMLmods/Fashion-Hut-Modeling-LoRA/resolve/main/images/MO1.png",
|
369 |
+
"title": "Modeling Hut",
|
370 |
+
"repo": "prithivMLmods/Fashion-Hut-Modeling-LoRA",
|
371 |
+
"trigger_word": "Modeling of"
|
372 |
},
|
373 |
#4
|
374 |
{
|
|
|
379 |
},
|
380 |
#5
|
381 |
{
|
382 |
+
"image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0/resolve/main/images/XX.png",
|
383 |
"title": "Ultra Realism",
|
384 |
"repo": "prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0",
|
385 |
"trigger_word": "Ultra realistic"
|
|
|
407 |
},
|
408 |
#9
|
409 |
{
|
410 |
+
"image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-Anime/resolve/main/assets/4.png",
|
411 |
+
"title": "Flux Anime",
|
412 |
+
"repo": "prithivMLmods/Canopus-LoRA-Flux-Anime",
|
413 |
+
"trigger_word": "Anime"
|
414 |
},
|
415 |
#10
|
416 |
{
|
|
|
505 |
},
|
506 |
#23
|
507 |
{
|
508 |
+
"image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-FaceRealism/resolve/main/images/xc.webp",
|
509 |
"title": "Cute Kawaii",
|
510 |
"repo": "prithivMLmods/Canopus-Cute-Kawaii-Flux-LoRA",
|
511 |
"trigger_word": "cute-kawaii"
|
|
|
529 |
"image": "https://huggingface.co/bingbangboom/flux-miniature-worlds/resolve/main/images/2.jpg",
|
530 |
"title": "Miniature",
|
531 |
"repo": "bingbangboom/flux-miniature-worlds",
|
532 |
+
"weights": "flux_MNTRWRLDS.safetensors",
|
533 |
"trigger_word": "Image in the style of MNTRWRLDS"
|
534 |
},
|
535 |
#27
|
|
|
537 |
"image": "https://huggingface.co/glif-loradex-trainer/bingbangboom_flux_surf/resolve/main/samples/1729012111574__000002000_0.jpg",
|
538 |
"title": "Surf Bingbangboom",
|
539 |
"repo": "glif-loradex-trainer/bingbangboom_flux_surf",
|
540 |
+
"weights": "flux_surf.safetensors",
|
541 |
"trigger_word": "SRFNGV01"
|
542 |
},
|
543 |
#28
|
|
|
559 |
"image": "https://huggingface.co/davisbro/flux-multi-angle/resolve/main/multi-angle-examples/3.png",
|
560 |
"title": "Multi Angle",
|
561 |
"repo": "davisbro/flux-multi-angle",
|
562 |
+
"trigger_word": "A TOK composite photo of a person posing at different angles"
|
563 |
+
},
|
564 |
+
#31
|
565 |
+
{
|
566 |
+
"image": "https://huggingface.co/glif/how2draw/resolve/main/images/glif-how2draw-araminta-k-vbnvy94npt8m338r2vm02m50.jpg",
|
567 |
+
"title": "How2Draw",
|
568 |
+
"repo": "glif/how2draw",
|
569 |
+
"trigger_word": "How2Draw"
|
570 |
+
|
571 |
+
},
|
572 |
+
#32
|
573 |
+
{
|
574 |
+
"image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Text-Poster/resolve/main/images/6dd1a918d89991ad5e40513ab88e7d892077f89dac93edcf4b660dd2.jpg",
|
575 |
+
"title": "Text Poster",
|
576 |
+
"repo": "Shakker-Labs/FLUX.1-dev-LoRA-Text-Poster",
|
577 |
+
"trigger_word": "text poster"
|
578 |
+
},
|
579 |
+
#33
|
580 |
+
{
|
581 |
+
"image": "https://huggingface.co/SebastianBodza/Flux_Aquarell_Watercolor_v2/resolve/main/images/coffee.webp",
|
582 |
+
"title": "Aquarell Watercolor",
|
583 |
+
"repo": "SebastianBodza/Flux_Aquarell_Watercolor_v2",
|
584 |
+
"trigger_word": "AQUACOLTOK"
|
585 |
+
},
|
586 |
+
#34
|
587 |
+
{
|
588 |
+
"image": "https://huggingface.co/Purz/face-projection/resolve/main/34031797.jpeg",
|
589 |
+
"title": "Face Projection ",
|
590 |
+
"repo": "Purz/face-projection",
|
591 |
+
"trigger_word": "f4c3_p40j3ct10n"
|
592 |
+
},
|
593 |
+
#35
|
594 |
+
{
|
595 |
+
"image": "https://huggingface.co/martintomov/ecom-flux-v2/resolve/main/images/example_z30slf97z.png",
|
596 |
+
"title": "Ecom Design Art",
|
597 |
+
"repo": "martintomov/ecom-flux-v2",
|
598 |
+
"trigger_word": ""
|
599 |
+
},
|
600 |
+
#36
|
601 |
+
{
|
602 |
+
"image": "https://huggingface.co/TheAwakenOne/max-headroom/resolve/main/sample/max-headroom_000900_00_20241015234926.png",
|
603 |
+
"title": "Max Head-Room",
|
604 |
+
"repo": "TheAwakenOne/max-headroom",
|
605 |
+
"weights": "max-headroom-v1.safetensors",
|
606 |
+
"trigger_word": "M2X, Max-Headroom"
|
607 |
+
},
|
608 |
+
#37
|
609 |
+
{
|
610 |
+
"image": "https://huggingface.co/renderartist/toyboxflux/resolve/main/images/3D__00366_.png",
|
611 |
+
"title": "Toy Box Flux",
|
612 |
+
"repo": "renderartist/toyboxflux",
|
613 |
+
"weights": "Toy_Box_Flux_v2_renderartist.safetensors",
|
614 |
+
"trigger_word": "t0yb0x, simple toy design, detailed toy design, 3D render"
|
615 |
+
},
|
616 |
+
#38
|
617 |
+
{
|
618 |
+
"image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-live-3D/resolve/main/images/51a716fb6fe9ba5d54c260b70e7ff661d38acedc7fb725552fa77bcf.jpg",
|
619 |
+
"title": "Live 3D",
|
620 |
+
"repo": "Shakker-Labs/FLUX.1-dev-LoRA-live-3D",
|
621 |
+
"trigger_word": ""
|
622 |
+
},
|
623 |
+
#39
|
624 |
+
{
|
625 |
+
"image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Garbage-Bag-Art/resolve/main/images/42e944819b43869a03dc252d10409b5944a62494c7082816121016f9.jpg",
|
626 |
+
"title": "Garbage Bag Art",
|
627 |
+
"repo": "Shakker-Labs/FLUX.1-dev-LoRA-Garbage-Bag-Art",
|
628 |
+
"trigger_word": "Inflatable plastic bag"
|
629 |
+
},
|
630 |
+
#40
|
631 |
+
{
|
632 |
+
"image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design/resolve/main/images/73e7db6a33550d05836ce285549de60075d05373c7b0660d631dac33.jpg",
|
633 |
+
"title": "Logo Design",
|
634 |
+
"repo": "Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design",
|
635 |
+
"trigger_word": "wablogo, logo, Minimalist"
|
636 |
+
},
|
637 |
+
#41
|
638 |
+
{
|
639 |
+
"image": "https://huggingface.co/punzel/flux_sadie_sink/resolve/main/images/ComfyUI_Flux_Finetune_00069_.png",
|
640 |
+
"title": "Sadie Sink",
|
641 |
+
"repo": "punzel/flux_sadie_sink",
|
642 |
+
"weights": "flux_sadie_sink.safetensors",
|
643 |
+
"trigger_word": "Sadie Sink"
|
644 |
+
},
|
645 |
+
#43
|
646 |
+
{
|
647 |
+
"image": "https://huggingface.co/Wakkamaruh/balatro-poker-cards/resolve/main/samples/01.png",
|
648 |
+
"title": "Poker Cards",
|
649 |
+
"repo": "Wakkamaruh/balatro-poker-cards",
|
650 |
+
"weights": "balatro-poker-cards.safetensors",
|
651 |
+
"trigger_word": "balatrocard"
|
652 |
+
},
|
653 |
+
#44
|
654 |
+
{
|
655 |
+
"image": "https://huggingface.co/lichorosario/flux-cubist-cartoon/resolve/main/samples/albert-einstein.png",
|
656 |
+
"title": "Cubist Cartoon",
|
657 |
+
"repo": "lichorosario/flux-cubist-cartoon",
|
658 |
+
"weights": "lora.safetensors",
|
659 |
+
"trigger_word": "CBSTCRTN"
|
660 |
+
},
|
661 |
+
#45
|
662 |
+
{
|
663 |
+
"image": "https://huggingface.co/iliketoasters/miniature-people/resolve/main/images/1757-over%20the%20shoulder%20shot%2C%20raw%20photo%2C%20a%20min-fluxcomfy-orgflux1-dev-fp8-128443497-converted.png",
|
664 |
+
"title": "Miniature People",
|
665 |
+
"repo": "iliketoasters/miniature-people",
|
666 |
+
"trigger_word": "miniature people"
|
667 |
+
},
|
668 |
+
#46
|
669 |
+
{
|
670 |
+
"image": "https://huggingface.co/ampp/rough-kids-illustrations/resolve/main/samples/1725115106736__000001000_0.jpg",
|
671 |
+
"title": "kids Illustrations",
|
672 |
+
"repo": "ampp/rough-kids-illustrations",
|
673 |
+
"weights": "rough-kids-illustrations.safetensors",
|
674 |
+
"trigger_word": "r0ughkids4rt"
|
675 |
+
},
|
676 |
+
#47
|
677 |
+
{
|
678 |
+
"image": "https://huggingface.co/lichorosario/flux-lora-tstvctr/resolve/main/images/example_mo3jx93o6.png",
|
679 |
+
"title": "TSTVCTR Cartoon",
|
680 |
+
"repo": "lichorosario/flux-lora-tstvctr",
|
681 |
+
"weights": "lora.safetensors",
|
682 |
+
"trigger_word": "TSTVCTR cartoon illustration"
|
683 |
+
},
|
684 |
+
#48
|
685 |
+
{
|
686 |
+
"image": "https://huggingface.co/lichorosario/flux-lora-gliff-tosti-vector-no-captions-2500s/resolve/main/images/example_i6h6fi9sq.png",
|
687 |
+
"title": "Tosti Vector",
|
688 |
+
"repo": "lichorosario/flux-lora-gliff-tosti-vector-no-captions-2500s",
|
689 |
+
"weights": "flux_dev_tosti_vector_without_captions_000002500.safetensors",
|
690 |
+
"trigger_word": ""
|
691 |
+
},
|
692 |
+
#49
|
693 |
+
{
|
694 |
+
"image": "https://huggingface.co/AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion/resolve/main/Trashy.png",
|
695 |
+
"title": "Propaganda Poster",
|
696 |
+
"repo": "AlekseyCalvin/Propaganda_Poster_Schnell_by_doctor_diffusion",
|
697 |
+
"weights": "propaganda_schnell_v1.safetensors",
|
698 |
+
"trigger_word": "propaganda poster"
|
699 |
+
},
|
700 |
+
#50
|
701 |
+
{
|
702 |
+
"image": "https://huggingface.co/WizWhite/Wiz-PunchOut_Ringside_Portrait/resolve/main/images/punch0ut__ringside_pixel_portrait_depicting_chris_brown_wearing_a_veil__moonstone_gray_background_with_white_ropes___1923906484.png",
|
703 |
+
"title": "Ringside Portrait",
|
704 |
+
"repo": "WizWhite/Wiz-PunchOut_Ringside_Portrait",
|
705 |
+
"trigger_word": "punch0ut, ringside pixel portrait depicting"
|
706 |
+
},
|
707 |
+
#51
|
708 |
+
{
|
709 |
+
"image": "https://huggingface.co/glif-loradex-trainer/kklors_flux_dev_long_exposure/resolve/main/samples/1729016926778__000003000_3.jpg",
|
710 |
+
"title": "Long Exposure",
|
711 |
+
"repo": "glif-loradex-trainer/kklors_flux_dev_long_exposure",
|
712 |
+
"weights": "flux_dev_long_exposure.safetensors",
|
713 |
+
"trigger_word": "LE"
|
714 |
+
},
|
715 |
+
#52
|
716 |
+
{
|
717 |
+
"image": "https://huggingface.co/DamarJati/streetwear-flux/resolve/main/img/79e891f9-ceb8-4f8a-a51d-bb432789d037.jpeg",
|
718 |
+
"title": "Street Wear",
|
719 |
+
"repo": "DamarJati/streetwear-flux",
|
720 |
+
"weights": "Streetwear.safetensors",
|
721 |
+
"trigger_word": "Handling Information Tshirt template"
|
722 |
+
},
|
723 |
+
#53
|
724 |
+
{
|
725 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-NTFv4-Designs-LoRA/resolve/main/images/6.png",
|
726 |
+
"title": "NFT V4",
|
727 |
+
"repo": "strangerzonehf/Flux-NFTv4-Designs-LoRA",
|
728 |
+
"weights": "NFTv4.safetensors",
|
729 |
+
"trigger_word": "NFT V4"
|
730 |
+
},
|
731 |
+
#54
|
732 |
+
{
|
733 |
+
"image": "https://huggingface.co/multimodalart/product-design/resolve/main/images/example_vgv87rlfl.png",
|
734 |
+
"title": "Product Design",
|
735 |
+
"repo": "multimodalart/product-design",
|
736 |
+
"weights": "product-design.safetensors",
|
737 |
+
"trigger_word": "product designed by prdsgn"
|
738 |
+
},
|
739 |
+
#55
|
740 |
+
{
|
741 |
+
"image": "https://huggingface.co/prithivMLmods/Canopus-LoRA-Flux-Typography-ASCII/resolve/main/images/NNN.png",
|
742 |
+
"title": "Typography",
|
743 |
+
"repo": "prithivMLmods/Canopus-LoRA-Flux-Typography-ASCII",
|
744 |
+
"weights": "Typography.safetensors",
|
745 |
+
"trigger_word": "Typography, ASCII Art"
|
746 |
+
},
|
747 |
+
#56
|
748 |
+
{
|
749 |
+
"image": "https://huggingface.co/mateo-19182/mosoco/resolve/main/samples/1725714834007__000002000_0.jpg",
|
750 |
+
"title": "Mosoco",
|
751 |
+
"repo": "mateo-19182/mosoco",
|
752 |
+
"weights": "mosoco.safetensors",
|
753 |
+
"trigger_word": "moscos0"
|
754 |
+
},
|
755 |
+
#57
|
756 |
+
{
|
757 |
+
"image": "https://huggingface.co/jakedahn/flux-latentpop/resolve/main/images/2.webp",
|
758 |
+
"title": "Latent Pop",
|
759 |
+
"repo": "jakedahn/flux-latentpop",
|
760 |
+
"weights": "lora.safetensors",
|
761 |
+
"trigger_word": "latentpop"
|
762 |
+
},
|
763 |
+
#58
|
764 |
+
{
|
765 |
+
"image": "https://huggingface.co/glif-loradex-trainer/ddickinson_dstyl3xl/resolve/main/samples/1728556571974__000001500_2.jpg",
|
766 |
+
"title": "Dstyl3xl",
|
767 |
+
"repo": "glif-loradex-trainer/ddickinson_dstyl3xl",
|
768 |
+
"weights": "dstyl3xl.safetensors",
|
769 |
+
"trigger_word": "in the style of dstyl3xl"
|
770 |
+
},
|
771 |
+
#59
|
772 |
+
{
|
773 |
+
"image": "https://huggingface.co/TDN-M/RetouchFLux/resolve/main/images/496f0680-0158-4f37-805d-d227c1a08a7b.png",
|
774 |
+
"title": "Retouch FLux",
|
775 |
+
"repo": "TDN-M/RetouchFLux",
|
776 |
+
"weights": "TDNM_Retouch.safetensors",
|
777 |
+
"trigger_word": "luxury, enhance, hdr"
|
778 |
+
},
|
779 |
+
#60
|
780 |
+
{
|
781 |
+
"image": "https://huggingface.co/glif/anime-blockprint-style/resolve/main/images/glif-block-print-anime-flux-dev-araminta-k-lora-araminta-k-e35k8xqsrb8dtq2qcv4gsr3z.jpg",
|
782 |
+
"title": "Block Print",
|
783 |
+
"repo": "glif/anime-blockprint-style",
|
784 |
+
"weights": "bwmanga.safetensors",
|
785 |
+
"trigger_word": "blockprint style"
|
786 |
+
},
|
787 |
+
#61
|
788 |
+
{
|
789 |
+
"image": "https://huggingface.co/renderartist/weirdthingsflux/resolve/main/images/3D__02303_.png",
|
790 |
+
"title": "Weird Things Flux",
|
791 |
+
"repo": "renderartist/weirdthingsflux",
|
792 |
+
"weights": "Weird_Things_Flux_v1_renderartist.safetensors",
|
793 |
+
"trigger_word": "w3irdth1ngs, illustration"
|
794 |
+
},
|
795 |
+
#62
|
796 |
+
{
|
797 |
+
"image": "https://replicate.delivery/yhqm/z7f2OBcvga07dCoJ4FeRGZCbE5PvipLhogPhEeU7BazIg5lmA/out-0.webp",
|
798 |
+
"title": "Replicate Flux LoRA",
|
799 |
+
"repo": "lucataco/ReplicateFluxLoRA",
|
800 |
+
"weights": "flux_train_replicate.safetensors",
|
801 |
+
"trigger_word": "TOK"
|
802 |
+
},
|
803 |
+
#63
|
804 |
+
{
|
805 |
+
"image": "https://huggingface.co/alvdansen/haunted_linework_flux/resolve/main/images/ComfyUI_00755_.png",
|
806 |
+
"title": "Linework",
|
807 |
+
"repo": "alvdansen/haunted_linework_flux",
|
808 |
+
"weights": "hauntedlinework_flux_araminta_k.safetensors",
|
809 |
+
"trigger_word": "hntdlnwrk style"
|
810 |
+
},
|
811 |
+
#64
|
812 |
+
{
|
813 |
+
"image": "https://huggingface.co/fofr/flux-cassette-futurism/resolve/main/images/example_qgry9jnkj.png",
|
814 |
+
"title": "Cassette Futurism",
|
815 |
+
"repo": "fofr/flux-cassette-futurism",
|
816 |
+
"weights": "lora.safetensors",
|
817 |
+
"trigger_word": "cassette futurism"
|
818 |
+
},
|
819 |
+
#65
|
820 |
+
{
|
821 |
+
"image": "https://huggingface.co/Wadaka/Mojo_Style_LoRA/resolve/main/Samples/Sample2.png",
|
822 |
+
"title": "Mojo Style",
|
823 |
+
"repo": "Wadaka/Mojo_Style_LoRA",
|
824 |
+
"weights": "Mojo_Style_LoRA.safetensors",
|
825 |
+
"trigger_word": "Mojo_Style"
|
826 |
+
|
827 |
+
},
|
828 |
+
#66
|
829 |
+
{
|
830 |
+
"image": "https://huggingface.co/Norod78/JojosoStyle-flux-lora/resolve/main/samples/1725244218477__000004255_1.jpg",
|
831 |
+
"title": "Jojoso Style",
|
832 |
+
"repo": "Norod78/JojosoStyle-flux-lora",
|
833 |
+
"weights": "JojosoStyle_flux_lora.safetensors",
|
834 |
+
"trigger_word": "JojosoStyle"
|
835 |
+
},
|
836 |
+
#67
|
837 |
+
{
|
838 |
+
"image": "https://huggingface.co/Chunte/flux-lora-Huggieverse/resolve/main/images/Happy%20star.png",
|
839 |
+
"title": "Huggieverse",
|
840 |
+
"repo": "Chunte/flux-lora-Huggieverse",
|
841 |
+
"weights": "lora.safetensors",
|
842 |
+
"trigger_word": "HGGRE"
|
843 |
+
},
|
844 |
+
#68
|
845 |
+
{
|
846 |
+
"image": "https://huggingface.co/diabolic6045/Flux_Wallpaper_Lora/resolve/main/images/example_hjp51et93.png",
|
847 |
+
"title": "Wallpaper LoRA",
|
848 |
+
"repo": "diabolic6045/Flux_Wallpaper_Lora",
|
849 |
+
"weights": "tost-2024-09-20-07-35-44-wallpap3r5.safetensors",
|
850 |
+
"trigger_word": "wallpap3r5"
|
851 |
+
},
|
852 |
+
#69
|
853 |
+
{
|
854 |
+
"image": "https://huggingface.co/bingbangboom/flux_geopop/resolve/main/extras/5.png",
|
855 |
+
"title": "Geo Pop",
|
856 |
+
"repo": "bingbangboom/flux_geopop",
|
857 |
+
"weights": "geopop_NWGMTRCPOPV01.safetensors",
|
858 |
+
"trigger_word": "illustration in the style of NWGMTRCPOPV01"
|
859 |
+
},
|
860 |
+
#70
|
861 |
+
{
|
862 |
+
"image": "https://huggingface.co/bingbangboom/flux_colorscape/resolve/main/images/4.jpg",
|
863 |
+
"title": "Colorscape",
|
864 |
+
"repo": "bingbangboom/flux_colorscape",
|
865 |
+
"weights": "flux_colorscape.safetensors",
|
866 |
+
"trigger_word": "illustration in the style of ASstyle001"
|
867 |
+
},
|
868 |
+
#71
|
869 |
+
{
|
870 |
+
"image": "https://huggingface.co/dvyio/flux-lora-thermal-image/resolve/main/images/WROSaNNU4-Gw0r5QoBRjf_f164ffa4f0804e68bad1d06d30deecfa.jpg",
|
871 |
+
"title": "Thermal Image",
|
872 |
+
"repo": "dvyio/flux-lora-thermal-image",
|
873 |
+
"weights": "79b5004c57ef4c4390dead1c65977bbb_pytorch_lora_weights.safetensors",
|
874 |
+
"trigger_word": "thermal image in the style of THRML"
|
875 |
+
},
|
876 |
+
#72
|
877 |
+
{
|
878 |
+
"image": "https://huggingface.co/prithivMLmods/Canopus-Clothing-Flux-LoRA/resolve/main/images/333.png",
|
879 |
+
"title": "Clothing Flux",
|
880 |
+
"repo": "prithivMLmods/Canopus-Clothing-Flux-LoRA",
|
881 |
+
"weights": "Canopus-Clothing-Flux-Dev-Florence2-LoRA.safetensors",
|
882 |
+
"trigger_word": "Hoodie, Clothes, Shirt, Pant"
|
883 |
+
},
|
884 |
+
#73
|
885 |
+
{
|
886 |
+
"image": "https://huggingface.co/dvyio/flux-lora-stippled-illustration/resolve/main/images/57FPpbu74QTV45w6oNOtZ_26832270585f456c99e4a98b1c073745.jpg",
|
887 |
+
"title": "Stippled Illustration",
|
888 |
+
"repo": "dvyio/flux-lora-stippled-illustration",
|
889 |
+
"weights": "31984be602a04a1fa296d9ccb244fb29_pytorch_lora_weights.safetensors",
|
890 |
+
"trigger_word": "stippled illustration in the style of STPPLD"
|
891 |
+
},
|
892 |
+
#74
|
893 |
+
{
|
894 |
+
"image": "https://huggingface.co/wayned/fruitlabels/resolve/main/images/ComfyUI_03969_.png",
|
895 |
+
"title": "Fruitlabels",
|
896 |
+
"repo": "wayned/fruitlabels",
|
897 |
+
"weights": "fruitlabels2.safetensors",
|
898 |
+
"trigger_word": "fruit labels"
|
899 |
+
|
900 |
+
},
|
901 |
+
#76
|
902 |
+
{
|
903 |
+
"image": "https://huggingface.co/diabolic6045/Formula1_Lego_Lora/resolve/main/images/example_502kcuiba.png",
|
904 |
+
"title": "Formula 1 Lego",
|
905 |
+
"repo": "punzel/flux_margot_robbie",
|
906 |
+
"weights": "tost-2024-09-20-09-58-33-f1leg0s.safetensors",
|
907 |
+
"trigger_word": "f1leg0s"
|
908 |
+
},
|
909 |
+
#77
|
910 |
+
{
|
911 |
+
"image": "https://huggingface.co/glif/Brain-Melt-Acid-Art/resolve/main/images/IMG_0832.png",
|
912 |
+
"title": "Melt Acid",
|
913 |
+
"repo": "glif/Brain-Melt-Acid-Art",
|
914 |
+
"weights": "Brain_Melt.safetensors",
|
915 |
+
"trigger_word": "in an acid surrealism style, maximalism"
|
916 |
+
},
|
917 |
+
#78
|
918 |
+
{
|
919 |
+
"image": "https://huggingface.co/jeremytai/enso-zen/resolve/main/images/example_a0iwdj5lu.png",
|
920 |
+
"title": "Enso",
|
921 |
+
"repo": "jeremytai/enso-zen",
|
922 |
+
"weights": "enso-zen.safetensors",
|
923 |
+
"trigger_word": "enso"
|
924 |
+
},
|
925 |
+
#79
|
926 |
+
{
|
927 |
+
"image": "https://huggingface.co/veryVANYA/opus-ascii-flux/resolve/main/31654332.jpeg",
|
928 |
+
"title": "Opus Ascii",
|
929 |
+
"repo": "veryVANYA/opus-ascii-flux",
|
930 |
+
"weights": "flux_opus_ascii.safetensors",
|
931 |
+
"trigger_word": "opus_ascii"
|
932 |
+
},
|
933 |
+
#80
|
934 |
+
{
|
935 |
+
"image": "https://huggingface.co/crystantine/cybrpnkz/resolve/main/images/example_plyxk0lej.png",
|
936 |
+
"title": "Cybrpnkz",
|
937 |
+
"repo": "crystantine/cybrpnkz",
|
938 |
+
"weights": "cybrpnkz.safetensors",
|
939 |
+
"trigger_word": "architecture style of CYBRPNKZ"
|
940 |
+
},
|
941 |
+
#81
|
942 |
+
{
|
943 |
+
"image": "https://huggingface.co/fyp1/pattern_generation/resolve/main/images/1727560066052__000001000_7.jpg",
|
944 |
+
"title": "Pattern Generation",
|
945 |
+
"repo": "fyp1/pattern_generation",
|
946 |
+
"weights": "flux_dev_finetune.safetensors",
|
947 |
+
"trigger_word": "pattern"
|
948 |
+
},
|
949 |
+
#82
|
950 |
+
{
|
951 |
+
"image": "https://huggingface.co/TheAwakenOne/caricature/resolve/main/sample/caricature_000900_03_20241007143412.png",
|
952 |
+
"title": "Caricature",
|
953 |
+
"repo": "TheAwakenOne/caricature",
|
954 |
+
"weights": "caricature.safetensors",
|
955 |
+
"trigger_word": "CCTUR3"
|
956 |
+
},
|
957 |
+
#83
|
958 |
+
{
|
959 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-C0001/resolve/main/images/C3.png",
|
960 |
+
"title": "3DXLC1",
|
961 |
+
"repo": "strangerzonehf/Flux-3DXL-Partfile-C0001",
|
962 |
+
"weights": "3DXLC1.safetensors",
|
963 |
+
"trigger_word": "3DXLC1"
|
964 |
+
},
|
965 |
+
#84
|
966 |
+
{
|
967 |
+
"image": "https://huggingface.co/Purz/neon-sign/resolve/main/33944768.jpeg",
|
968 |
+
"title": "Neon",
|
969 |
+
"repo": "Purz/neon-sign",
|
970 |
+
"weights": "purz-n30n_51gn.safetensors",
|
971 |
+
"trigger_word": "n30n_51gn"
|
972 |
+
},
|
973 |
+
#85
|
974 |
+
{
|
975 |
+
"image": "https://huggingface.co/WizWhite/wizard-s-vintage-sardine-tins/resolve/main/27597694.jpeg",
|
976 |
+
"title": "Vintage Sardine Tins",
|
977 |
+
"repo": "WizWhite/wizard-s-vintage-sardine-tins",
|
978 |
+
"weights": "Wiz-SardineTins_Flux.safetensors",
|
979 |
+
"trigger_word": "Vintage Sardine Tin, Tinned Fish, vintage xyz tin"
|
980 |
+
},
|
981 |
+
#86
|
982 |
+
{
|
983 |
+
"image": "https://huggingface.co/TheAwakenOne/mtdp-balloon-character/resolve/main/sample/mtdp-balloon-character_000200_01_20241014221110.png",
|
984 |
+
"title": "Float Ballon Character",
|
985 |
+
"repo": "TheAwakenOne/mtdp-balloon-character",
|
986 |
+
"weights": "mtdp-balloon-character.safetensors",
|
987 |
+
"trigger_word": "FLOAT"
|
988 |
+
},
|
989 |
+
#87
|
990 |
+
{
|
991 |
+
"image": "https://huggingface.co/glif/golden-haggadah/resolve/main/images/6aca6403-ecd6-4216-a66a-490ae25ff1b2.jpg",
|
992 |
+
"title": "Golden Haggadah",
|
993 |
+
"repo": "glif/golden-haggadah",
|
994 |
+
"weights": "golden_haggadah.safetensors",
|
995 |
+
"trigger_word": "golden haggadah style"
|
996 |
+
},
|
997 |
+
#88
|
998 |
+
{
|
999 |
+
"image": "https://huggingface.co/glif-loradex-trainer/usernametaken420__oz_ftw_balaclava/resolve/main/samples/1729278631255__000001500_1.jpg",
|
1000 |
+
"title": "Ftw Balaclava",
|
1001 |
+
"repo": "glif-loradex-trainer/usernametaken420__oz_ftw_balaclava",
|
1002 |
+
"weights": "oz_ftw_balaclava.safetensors",
|
1003 |
+
"trigger_word": "ftw balaclava"
|
1004 |
+
},
|
1005 |
+
#89
|
1006 |
+
{
|
1007 |
+
"image": "https://huggingface.co/AlloReview/flux-lora-undraw/resolve/main/images/Flux%20Lora%20Undraw%20Prediction.webp",
|
1008 |
+
"title": "Undraw",
|
1009 |
+
"repo": "AlloReview/flux-lora-undraw",
|
1010 |
+
"weights": "lora.safetensors",
|
1011 |
+
"trigger_word": "in the style of UndrawPurple"
|
1012 |
+
},
|
1013 |
+
#90
|
1014 |
+
{
|
1015 |
+
"image": "https://huggingface.co/Disra/lora-anime-test-02/resolve/main/assets/image_0_0.png",
|
1016 |
+
"title": "Anime Test",
|
1017 |
+
"repo": "Disra/lora-anime-test-02",
|
1018 |
+
"weights": "pytorch_lora_weights.safetensors",
|
1019 |
+
"trigger_word": "anime"
|
1020 |
+
},
|
1021 |
+
#91
|
1022 |
+
{
|
1023 |
+
"image": "https://huggingface.co/wanghaofan/Black-Myth-Wukong-FLUX-LoRA/resolve/main/images/7d0ac495a4d5e4a3a30df25f08379a3f956ef99e1dc3e252fc1fca3a.jpg",
|
1024 |
+
"title": "Black Myth Wukong",
|
1025 |
+
"repo": "wanghaofan/Black-Myth-Wukong-FLUX-LoRA",
|
1026 |
+
"weights": "pytorch_lora_weights.safetensors",
|
1027 |
+
"trigger_word": "wukong"
|
1028 |
+
},
|
1029 |
+
#92
|
1030 |
+
{
|
1031 |
+
"image": "https://huggingface.co/nerijs/pastelcomic-flux/resolve/main/images/4uZ_vaYg-HQnfa5D9gfli_38bf3f95d8b345e5a9bd42d978a15267.png",
|
1032 |
+
"title": "Pastelcomic",
|
1033 |
+
"repo": "nerijs/pastelcomic-flux",
|
1034 |
+
"weights": "pastelcomic_v1.safetensors",
|
1035 |
+
"trigger_word": ""
|
1036 |
+
},
|
1037 |
+
#93
|
1038 |
+
{
|
1039 |
+
"image": "https://huggingface.co/RareConcepts/Flux.1-dev-LoKr-Moonman/resolve/main/assets/image_6_0.png",
|
1040 |
+
"title": "Moonman",
|
1041 |
+
"repo": "RareConcepts/Flux.1-dev-LoKr-Moonman",
|
1042 |
+
"weights": "pytorch_lora_weights.safetensors",
|
1043 |
+
"trigger_word": "moonman"
|
1044 |
+
},
|
1045 |
+
#94
|
1046 |
+
{
|
1047 |
+
"image": "https://huggingface.co/martintomov/ascii-flux-v1/resolve/main/images/0af53645-ddcc-4803-93c8-f7e43f6fbbd1.jpeg",
|
1048 |
+
"title": "Ascii Flux",
|
1049 |
+
"repo": "martintomov/ascii-flux-v1",
|
1050 |
+
"weights": "ascii-art-v1.safetensors",
|
1051 |
+
"trigger_word": "ASCII art"
|
1052 |
+
},
|
1053 |
+
#95
|
1054 |
+
{
|
1055 |
+
"image": "https://huggingface.co/Omarito2412/Stars-Galaxy-Flux/resolve/main/images/25128409.jpeg",
|
1056 |
+
"title": "Ascii Flux",
|
1057 |
+
"repo": "Omarito2412/Stars-Galaxy-Flux",
|
1058 |
+
"weights": "Stars_Galaxy_Flux.safetensors",
|
1059 |
+
"trigger_word": "mlkwglx"
|
1060 |
+
},
|
1061 |
+
#96
|
1062 |
+
{
|
1063 |
+
"image": "https://huggingface.co/brushpenbob/flux-pencil-v2/resolve/main/26193927.jpeg",
|
1064 |
+
"title": "Pencil V2",
|
1065 |
+
"repo": "brushpenbob/flux-pencil-v2",
|
1066 |
+
"weights": "Flux_Pencil_v2_r1.safetensors",
|
1067 |
+
"trigger_word": "evang style"
|
1068 |
+
},
|
1069 |
+
#97
|
1070 |
+
{
|
1071 |
+
"image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Children-Simple-Sketch/resolve/main/images/1f20519208cef367af2fda8d91ddbba674f39b097389d12ee25b4cb1.jpg",
|
1072 |
+
"title": "Children Simple Sketch",
|
1073 |
+
"repo": "Shakker-Labs/FLUX.1-dev-LoRA-Children-Simple-Sketch",
|
1074 |
+
"weights": "FLUX-dev-lora-children-simple-sketch.safetensors",
|
1075 |
+
"trigger_word": "sketched style"
|
1076 |
+
},
|
1077 |
+
#98
|
1078 |
+
{
|
1079 |
+
"image": "https://huggingface.co/victor/contemporarink/resolve/main/images/example_hnqc22urm.png",
|
1080 |
+
"title": "Contemporarink",
|
1081 |
+
"repo": "victor/contemporarink",
|
1082 |
+
"weights": "inky-colors.safetensors",
|
1083 |
+
"trigger_word": "ECACX"
|
1084 |
+
},
|
1085 |
+
#99
|
1086 |
+
{
|
1087 |
+
"image": "https://huggingface.co/wavymulder/OverlordStyleFLUX/resolve/main/imgs/ComfyUI_00668_.png",
|
1088 |
+
"title": "OverlordStyle",
|
1089 |
+
"repo": "wavymulder/OverlordStyleFLUX",
|
1090 |
+
"weights": "ovld_style_overlord_wavymulder.safetensors",
|
1091 |
+
"trigger_word": "ovld style anime"
|
1092 |
+
},
|
1093 |
+
#100
|
1094 |
+
{
|
1095 |
+
"image": "https://huggingface.co/marceloxp/canny-quest/resolve/main/26676266.jpeg",
|
1096 |
+
"title": "Canny quest",
|
1097 |
+
"repo": "marceloxp/canny-quest",
|
1098 |
+
"weights": "Canny_Quest-000004.safetensors",
|
1099 |
+
"trigger_word": "blonde, silver silk dress, perfectly round sunglasses, pearl necklace"
|
1100 |
+
},
|
1101 |
+
#101
|
1102 |
+
{
|
1103 |
+
"image": "https://huggingface.co/busetolunay/building_flux_lora_v1/resolve/main/samples/1725469125185__000001250_2.jpg",
|
1104 |
+
"title": "Building Flux",
|
1105 |
+
"repo": "busetolunay/building_flux_lora_v1",
|
1106 |
+
"weights": "building_flux_lora_v4.safetensors",
|
1107 |
+
"trigger_word": "a0ce"
|
1108 |
+
},
|
1109 |
+
#102
|
1110 |
+
{
|
1111 |
+
"image": "https://huggingface.co/Omarito2412/Tinker-Bell-Flux/resolve/main/images/9e9e7eda-3ddf-467a-a7f8-6d8e3ef80cd0.png",
|
1112 |
+
"title": "Tinker Bell Flux",
|
1113 |
+
"repo": "Omarito2412/Tinker-Bell-Flux",
|
1114 |
+
"weights": "TinkerBellV2-FLUX.safetensors",
|
1115 |
+
"trigger_word": "TinkerWaifu, blue eyes, single hair bun"
|
1116 |
+
},
|
1117 |
+
#103
|
1118 |
+
{
|
1119 |
+
"image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-playful-metropolis/resolve/main/images/3e9265312b3b726c224a955ec9254a0f95c2c8b78ce635929183a075.jpg",
|
1120 |
+
"title": "Playful Metropolis",
|
1121 |
+
"repo": "Shakker-Labs/FLUX.1-dev-LoRA-playful-metropolis",
|
1122 |
+
"weights": "FLUX-dev-lora-playful_metropolis.safetensors",
|
1123 |
+
"trigger_word": ""
|
1124 |
+
},
|
1125 |
+
#104
|
1126 |
+
{
|
1127 |
+
"image": "https://huggingface.co/prithivMLmods/Castor-Character-Polygon-LoRA/resolve/main/images/1000.webp",
|
1128 |
+
"title": "Character Polygon",
|
1129 |
+
"repo": "prithivMLmods/Castor-Character-Polygon-Flux-LoRA",
|
1130 |
+
"weights": "Castor-Character-Polygon-LoRA.safetensors",
|
1131 |
+
"trigger_word": "3D Polygon"
|
1132 |
+
},
|
1133 |
+
#105
|
1134 |
+
{
|
1135 |
+
"image": "https://huggingface.co/prithivMLmods/Castor-Gta6-Theme-Flux-LoRA/resolve/main/images/gta1.webp",
|
1136 |
+
"title": "GTA 6 Theme",
|
1137 |
+
"repo": "prithivMLmods/Castor-Gta6-Theme-Flux-LoRA",
|
1138 |
+
"weights": "Gta6.safetensors",
|
1139 |
+
"trigger_word": "GTA 6 Theme, World of GTA 6"
|
1140 |
+
},
|
1141 |
+
#106
|
1142 |
+
{
|
1143 |
+
"image": "https://huggingface.co/prithivMLmods/Castor-Concept-Gta6-Character-Design/resolve/main/images/L3.webp",
|
1144 |
+
"title": "GTA Character Concept",
|
1145 |
+
"repo": "prithivMLmods/Castor-Flux-Concept-Gta6-Character-Design",
|
1146 |
+
"weights": "Gta6-Concept-Charecter.safetensors",
|
1147 |
+
"trigger_word": "Jason, Lucia, GTA 6"
|
1148 |
+
},
|
1149 |
+
#107
|
1150 |
+
{
|
1151 |
+
"image": "https://huggingface.co/prithivMLmods/Castor-3D-Sketchfab-Flux-LoRA/resolve/main/images/S1.png",
|
1152 |
+
"title": "3D Sketchfab",
|
1153 |
+
"repo": "prithivMLmods/Castor-3D-Sketchfab-Flux-LoRA",
|
1154 |
+
"weights": "Castor-3D-Sketchfab-Flux-LoRA.safetensors",
|
1155 |
+
"trigger_word": "3D Sketchfab"
|
1156 |
+
},
|
1157 |
+
#108
|
1158 |
+
{
|
1159 |
+
"image": "https://huggingface.co/prithivMLmods/Castor-Collage-Dim-Flux-LoRA/resolve/main/images/C1.webp",
|
1160 |
+
"title": "In Image Collage",
|
1161 |
+
"repo": "prithivMLmods/Castor-Collage-Dim-Flux-LoRA",
|
1162 |
+
"weights": "Castor-Collage-Dim-Flux-LoRA.safetensors",
|
1163 |
+
"trigger_word": "collage"
|
1164 |
+
},
|
1165 |
+
#109
|
1166 |
+
{
|
1167 |
+
"image": "https://huggingface.co/brushpenbob/flux-midjourney-anime/resolve/main/25439344.jpeg",
|
1168 |
+
"title": "Anime Journey",
|
1169 |
+
"repo": "brushpenbob/flux-midjourney-anime",
|
1170 |
+
"weights": "FLUX_MidJourney_Anime.safetensors",
|
1171 |
+
"trigger_word": "egmid"
|
1172 |
+
},
|
1173 |
+
#110
|
1174 |
+
{
|
1175 |
+
"image": "https://huggingface.co/glif-loradex-trainer/maxxd4240_minimalistPastel/resolve/main/samples/1727255690613__000002500_0.jpg",
|
1176 |
+
"title": "Min Pastel",
|
1177 |
+
"repo": "glif-loradex-trainer/maxxd4240_minimalistPastel",
|
1178 |
+
"weights": "minimalistPastel.safetensors",
|
1179 |
+
"trigger_word": "minimalistPastel"
|
1180 |
+
},
|
1181 |
+
#111
|
1182 |
+
{
|
1183 |
+
"image": "https://huggingface.co/prithivMLmods/Castor-Red-Dead-Redemption-2-Flux-LoRA/resolve/main/images/rdr12.webp",
|
1184 |
+
"title": "RDR2",
|
1185 |
+
"repo": "prithivMLmods/Castor-Red-Dead-Redemption-2-Flux-LoRA",
|
1186 |
+
"weights": "Castor-Red-Dead-Redemption-2-Flux-LoRA.safetensors",
|
1187 |
+
"trigger_word": "Red Dead Redemption 2"
|
1188 |
+
},
|
1189 |
+
#112
|
1190 |
+
{
|
1191 |
+
"image": "https://huggingface.co/WizWhite/wizard-s-paper-model-universe/resolve/main/35746354.jpeg",
|
1192 |
+
"title": "Paper Model",
|
1193 |
+
"repo": "WizWhite/wizard-s-paper-model-universe",
|
1194 |
+
"weights": "Wiz-Paper_Model_Universe.safetensors",
|
1195 |
+
"trigger_word": "A paper model"
|
1196 |
+
},
|
1197 |
+
#113
|
1198 |
+
{
|
1199 |
+
"image": "https://huggingface.co/renderartist/retrocomicflux/resolve/main/images/ComfyUI_temp_ipugi_00040_.png",
|
1200 |
+
"title": "Retrocomic Flux",
|
1201 |
+
"repo": "renderartist/retrocomicflux",
|
1202 |
+
"weights": "Retro_Comic_Flux_v1_renderartist.safetensors",
|
1203 |
+
"trigger_word": "comic book panel"
|
1204 |
+
},
|
1205 |
+
#114
|
1206 |
+
{
|
1207 |
+
"image": "https://huggingface.co/prithivMLmods/Castor-Happy-Halloween-Flux-LoRA/resolve/main/images/hw1.webp",
|
1208 |
+
"title": "Halloween Flux",
|
1209 |
+
"repo": "prithivMLmods/Castor-Happy-Halloween-Flux-LoRA",
|
1210 |
+
"weights": "Castor-Happy-Halloween-Flux-LoRA.safetensors",
|
1211 |
+
"trigger_word": "happy halloween"
|
1212 |
+
},
|
1213 |
+
#115
|
1214 |
+
{
|
1215 |
+
"image": "https://huggingface.co/prithivMLmods/Castor-3D-Portrait-Flux-LoRA/resolve/main/images/1.webp",
|
1216 |
+
"title": "Castor-3D-Portrait",
|
1217 |
+
"repo": "prithivMLmods/Castor-3D-Portrait-Flux-LoRA",
|
1218 |
+
"weights": "Castor-3D-Portrait-Flux-LoRA.safetensors",
|
1219 |
+
"trigger_word": "3D Portrait"
|
1220 |
+
},
|
1221 |
+
#116
|
1222 |
+
{
|
1223 |
+
"image": "https://huggingface.co/renderartist/coloringbookflux/resolve/main/images/ComfyUI_09731_.png",
|
1224 |
+
"title": "Coloring book flux",
|
1225 |
+
"repo": "renderartist/coloringbookflux",
|
1226 |
+
"weights": "c0l0ringb00k_Flux_v1_renderartist.safetensors",
|
1227 |
+
"trigger_word": "c0l0ringb00k, coloring book, coloring book page"
|
1228 |
+
},
|
1229 |
+
#117
|
1230 |
+
{
|
1231 |
+
"image": "https://huggingface.co/prithivMLmods/Uncoloured-Polygon-Flux-LoRA/resolve/main/images/1.webp",
|
1232 |
+
"title": "Uncoloured Polygon",
|
1233 |
+
"repo": "prithivMLmods/Uncoloured-Polygon-Flux-LoRA",
|
1234 |
+
"weights": "Uncoloured-3D-Polygon.safetensors",
|
1235 |
+
"trigger_word": "uncoloured polygon"
|
1236 |
+
},
|
1237 |
+
#118
|
1238 |
+
{
|
1239 |
+
"image": "https://huggingface.co/prithivMLmods/Past-Present-Deep-Mix-Flux-LoRA/resolve/main/images/PP3.webp",
|
1240 |
+
"title": "Past Present Mix",
|
1241 |
+
"repo": "prithivMLmods/Past-Present-Deep-Mix-Flux-LoRA",
|
1242 |
+
"weights": "Past-Present-Deep-Mix-Flux-LoRA.safetensors",
|
1243 |
+
"trigger_word": "Mixing Past and Present"
|
1244 |
+
},
|
1245 |
+
#119
|
1246 |
+
{
|
1247 |
+
"image": "https://huggingface.co/gokaygokay/Flux-Double-Exposure-LoRA/resolve/main/images/image3.jpg",
|
1248 |
+
"title": "Double Exposure",
|
1249 |
+
"repo": "gokaygokay/Flux-Double-Exposure-LoRA",
|
1250 |
+
"weights": "double_exposure.safetensors",
|
1251 |
+
"trigger_word": "dblxpsr"
|
1252 |
+
},
|
1253 |
+
#120
|
1254 |
+
{
|
1255 |
+
"image": "https://huggingface.co/gokaygokay/Flux-Seamless-Texture-LoRA/resolve/main/images/image3.jpg",
|
1256 |
+
"title": "Seamless Texture",
|
1257 |
+
"repo": "gokaygokay/Flux-Seamless-Texture-LoRA",
|
1258 |
+
"weights": "seamless_texture.safetensors",
|
1259 |
+
"trigger_word": "smlstxtr"
|
1260 |
+
},
|
1261 |
+
#121
|
1262 |
+
{
|
1263 |
+
"image": "https://huggingface.co/prithivMLmods/Mockup-Texture-Flux-LoRA/resolve/main/images/MU1.webp",
|
1264 |
+
"title": "Mockup Texture",
|
1265 |
+
"repo": "prithivMLmods/Mockup-Texture-Flux-LoRA",
|
1266 |
+
"weights": "Mockup-Texture.safetensors",
|
1267 |
+
"trigger_word": "Mockup"
|
1268 |
+
},
|
1269 |
+
#122
|
1270 |
+
{
|
1271 |
+
"image": "https://huggingface.co/prithivMLmods/Ton618-Tarot-Cards-Flux-LoRA/resolve/main/images/c2.webp",
|
1272 |
+
"title": "Tarot Cards",
|
1273 |
+
"repo": "prithivMLmods/Ton618-Tarot-Cards-Flux-LoRA",
|
1274 |
+
"weights": "Tarot-card.safetensors",
|
1275 |
+
"trigger_word": "Tarot card"
|
1276 |
+
},
|
1277 |
+
#123
|
1278 |
+
{
|
1279 |
+
"image": "https://huggingface.co/prithivMLmods/Ton618-Amxtoon-Flux-LoRA/resolve/main/images/am1.webp",
|
1280 |
+
"title": "Amxtoon",
|
1281 |
+
"repo": "prithivMLmods/Ton618-Amxtoon-Flux-LoRA",
|
1282 |
+
"weights": "Amxtoon.safetensors",
|
1283 |
+
"trigger_word": "Amxtoon"
|
1284 |
+
},
|
1285 |
+
#124
|
1286 |
+
{
|
1287 |
+
"image": "https://huggingface.co/prithivMLmods/Ton618-Epic-Realism-Flux-LoRA/resolve/main/images/ep3.png",
|
1288 |
+
"title": "Epic Realism",
|
1289 |
+
"repo": "prithivMLmods/Ton618-Epic-Realism-Flux-LoRA",
|
1290 |
+
"weights": "Epic-Realism-Unpruned.safetensors",
|
1291 |
+
"trigger_word": "Epic Realism"
|
1292 |
+
},
|
1293 |
+
#125
|
1294 |
+
{
|
1295 |
+
"image": "https://huggingface.co/bingbangboom/flux-mixReality/resolve/main/images/3.jpg",
|
1296 |
+
"title": "Mixed Reality",
|
1297 |
+
"repo": "bingbangboom/flux-mixReality",
|
1298 |
+
"weights": "HLFILSTHLFPHTO_000002500.safetensors",
|
1299 |
+
"trigger_word": "in the style of HLFILSTHLFPHTO"
|
1300 |
+
},
|
1301 |
+
#126
|
1302 |
+
{
|
1303 |
+
"image": "https://huggingface.co/sWizad/pokemon-trainer-sprites-pixelart-flux/resolve/main/26578919.jpeg",
|
1304 |
+
"title": "Pixelart",
|
1305 |
+
"repo": "sWizad/pokemon-trainer-sprites-pixelart-flux",
|
1306 |
+
"weights": "pktrainer_F1-v1-0.safetensors",
|
1307 |
+
"trigger_word": "pixel image of, pixel art"
|
1308 |
+
},
|
1309 |
+
#127
|
1310 |
+
{
|
1311 |
+
"image": "https://huggingface.co/bingbangboom/flux_colorscape/resolve/main/images/2.jpg",
|
1312 |
+
"title": "Colorscape",
|
1313 |
+
"repo": "bingbangboom/flux_colorscape",
|
1314 |
+
"weights": "flux_colorscape.safetensors",
|
1315 |
+
"trigger_word": "illustration in the style of ASstyle001"
|
1316 |
+
},
|
1317 |
+
#128
|
1318 |
+
{
|
1319 |
+
"image": "https://huggingface.co/UmeAiRT/FLUX.1-dev-LoRA-Modern_Pixel_art/resolve/main/images/c363192f-5fa0-4539-8295-b8d9e3e96747.jpeg",
|
1320 |
+
"title": "Modern Pixel art",
|
1321 |
+
"repo": "UmeAiRT/FLUX.1-dev-LoRA-Modern_Pixel_art",
|
1322 |
+
"weights": "ume_modern_pixelart.safetensors",
|
1323 |
+
"trigger_word": "umempart"
|
1324 |
+
},
|
1325 |
+
#129
|
1326 |
+
{
|
1327 |
+
"image": "https://huggingface.co/prithivMLmods/Ton618-Only-Stickers-Flux-LoRA/resolve/main/images/222.png",
|
1328 |
+
"title": "Sticker",
|
1329 |
+
"repo": "prithivMLmods/Ton618-Only-Stickers-Flux-LoRA",
|
1330 |
+
"weights": "only-stickers.safetensors",
|
1331 |
+
"trigger_word": "Only Sticker"
|
1332 |
+
},
|
1333 |
+
#130
|
1334 |
+
{
|
1335 |
+
"image": "https://huggingface.co/prithivMLmods/Ton618-Space-Wallpaper-LoRA/resolve/main/images/222.png",
|
1336 |
+
"title": "Space Wallpaper",
|
1337 |
+
"repo": "prithivMLmods/Ton618-Space-Wallpaper-LoRA",
|
1338 |
+
"weights": "space-wallpaper-xl.safetensor",
|
1339 |
+
"trigger_word": "Space Wallpaper"
|
1340 |
+
},
|
1341 |
+
#131
|
1342 |
+
{
|
1343 |
+
"image": "https://huggingface.co/prithivMLmods/Canopus-Pixar-3D-Flux-LoRA/resolve/main/images/11111.png",
|
1344 |
+
"title": "Pixar 3D",
|
1345 |
+
"repo": "prithivMLmods/Canopus-Pixar-3D-Flux-LoRA",
|
1346 |
+
"weights": "Canopus-Pixar-3D-FluxDev-LoRA.safetensors",
|
1347 |
+
"trigger_word": "Pixar 3D"
|
1348 |
+
},
|
1349 |
+
#132
|
1350 |
+
{
|
1351 |
+
"image": "https://huggingface.co/prithivMLmods/EBook-Creative-Cover-Flux-LoRA/resolve/main/images/E2.png",
|
1352 |
+
"title": "EBook Cover",
|
1353 |
+
"repo": "prithivMLmods/EBook-Creative-Cover-Flux-LoRA",
|
1354 |
+
"weights": "EBook-Cover.safetensors",
|
1355 |
+
"trigger_word": "EBook Cover"
|
1356 |
+
},
|
1357 |
+
#133
|
1358 |
+
{
|
1359 |
+
"image": "https://huggingface.co/prithivMLmods/Minimal-Futuristic-Flux-LoRA/resolve/main/images/MF3.png",
|
1360 |
+
"title": "Minimal Futuristic",
|
1361 |
+
"repo": "prithivMLmods/Minimal-Futuristic-Flux-LoRA",
|
1362 |
+
"weights": "Minimal-Futuristic.safetensors",
|
1363 |
+
"trigger_word": "Minimal Futuristic"
|
1364 |
+
},
|
1365 |
+
#134
|
1366 |
+
{
|
1367 |
+
"image": "https://huggingface.co/prithivMLmods/Seamless-Pattern-Design-Flux-LoRA/resolve/main/images/SP1.png",
|
1368 |
+
"title": "Seamless Pattern",
|
1369 |
+
"repo": "prithivMLmods/Seamless-Pattern-Design-Flux-LoRA",
|
1370 |
+
"weights": "Seamless-Pattern-Design.safetensors",
|
1371 |
+
"trigger_word": "Seamless Pattern Design"
|
1372 |
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},
|
1373 |
+
#135
|
1374 |
+
{
|
1375 |
+
"image": "https://huggingface.co/prithivMLmods/Logo-Design-Flux-LoRA/resolve/main/images/LD1.png",
|
1376 |
+
"title": "Logo Design",
|
1377 |
+
"repo": "prithivMLmods/Logo-Design-Flux-LoRA",
|
1378 |
+
"weights": "Logo-design.safetensors",
|
1379 |
+
"trigger_word": "Logo Design"
|
1380 |
+
},
|
1381 |
+
#136
|
1382 |
+
{
|
1383 |
+
"image": "https://huggingface.co/prithivMLmods/Coloring-Book-Flux-LoRA/resolve/main/images/EB1.png",
|
1384 |
+
"title": "Coloring Book",
|
1385 |
+
"repo": "prithivMLmods/Coloring-Book-Flux-LoRA",
|
1386 |
+
"weights": "coloring-book.safetensors",
|
1387 |
+
"trigger_word": "Coloring Book"
|
1388 |
+
},
|
1389 |
+
#137
|
1390 |
+
{
|
1391 |
+
"image": "https://huggingface.co/prithivMLmods/Intense-Red-Flux-LoRA/resolve/main/images/IR1.png",
|
1392 |
+
"title": "Intense Red",
|
1393 |
+
"repo": "prithivMLmods/Intense-Red-Flux-LoRA",
|
1394 |
+
"weights": "Intense-Red.safetensors",
|
1395 |
+
"trigger_word": "Intense Red"
|
1396 |
+
},
|
1397 |
+
#138
|
1398 |
+
{
|
1399 |
+
"image": "https://huggingface.co/prithivMLmods/Glowing-Body-Flux-LoRA/resolve/main/images/GB3.png",
|
1400 |
+
"title": "Glowing Body Flux",
|
1401 |
+
"repo": "prithivMLmods/Glowing-Body-Flux-LoRA",
|
1402 |
+
"weights": "Glowing-Body.safetensors",
|
1403 |
+
"trigger_word": "Glowing Body"
|
1404 |
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},
|
1405 |
+
#139
|
1406 |
+
{
|
1407 |
+
"image": "https://huggingface.co/prithivMLmods/Electric-Blue-Flux-LoRA/resolve/main/images/EB3.png",
|
1408 |
+
"title": "Electric Blue",
|
1409 |
+
"repo": "prithivMLmods/Electric-Blue-Flux-LoRA",
|
1410 |
+
"weights": "Electric-Blue.safetensors",
|
1411 |
+
"trigger_word": "Electric Blue"
|
1412 |
+
},
|
1413 |
+
#140
|
1414 |
+
{
|
1415 |
+
"image": "https://huggingface.co/prithivMLmods/Clouds-Illusion-Flux-LoRA/resolve/main/images/CI2.png",
|
1416 |
+
"title": "Clouds Illusion",
|
1417 |
+
"repo": "prithivMLmods/Clouds-Illusion-Flux-LoRA",
|
1418 |
+
"weights": "Clouds-Illusion.safetensors",
|
1419 |
+
"trigger_word": "Clouds Illusion"
|
1420 |
+
},
|
1421 |
+
#141
|
1422 |
+
{
|
1423 |
+
"image": "https://huggingface.co/prithivMLmods/Digital-Yellow-Flux-LoRA/resolve/main/images/DY3.png",
|
1424 |
+
"title": "Digital Yellow",
|
1425 |
+
"repo": "prithivMLmods/Digital-Yellow-Flux-LoRA",
|
1426 |
+
"weights": "Digital-Yellow.safetensors",
|
1427 |
+
"trigger_word": "Digital Yellow"
|
1428 |
+
},
|
1429 |
+
#142
|
1430 |
+
{
|
1431 |
+
"image": "https://huggingface.co/cfahlgren1/flux-qwen-capybara/resolve/main/images/example_72ao6twvk.png",
|
1432 |
+
"title": "Flux Qwen Capybara",
|
1433 |
+
"repo": "cfahlgren1/flux-qwen-capybara",
|
1434 |
+
"weights": "flux-qwen-capybara.safetensors",
|
1435 |
+
"trigger_word": "QWENCAPY"
|
1436 |
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},
|
1437 |
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#143
|
1438 |
+
{
|
1439 |
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"image": "https://huggingface.co/dasdsff/PleinAirArt/resolve/main/images/e7499ccc-7504-4086-842f-275a5428ef0e.jpg",
|
1440 |
+
"title": "Plein Air Art ",
|
1441 |
+
"repo": "dasdsff/PleinAirArt",
|
1442 |
+
"weights": "PleinAir_000002500.safetensors",
|
1443 |
+
"trigger_word": "P1e!n"
|
1444 |
+
},
|
1445 |
+
#144
|
1446 |
+
{
|
1447 |
+
"image": "https://huggingface.co/prithivMLmods/Orange-Chroma-Flux-LoRA/resolve/main/images/OC1.png",
|
1448 |
+
"title": "Orange Chroma",
|
1449 |
+
"repo": "prithivMLmods/Orange-Chroma-Flux-LoRA",
|
1450 |
+
"weights": "Orange-Chroma.safetensors",
|
1451 |
+
"trigger_word": "Orange Chroma"
|
1452 |
+
},
|
1453 |
+
#145
|
1454 |
+
{
|
1455 |
+
"image": "https://huggingface.co/prithivMLmods/Lime-Green-Flux-LoRA/resolve/main/images/LM1.png",
|
1456 |
+
"title": "Lime Green",
|
1457 |
+
"repo": "prithivMLmods/Lime-Green-Flux-LoRA",
|
1458 |
+
"weights": "Lime-Green.safetensors",
|
1459 |
+
"trigger_word": "Lime Green"
|
1460 |
+
},
|
1461 |
+
#146
|
1462 |
+
{
|
1463 |
+
"image": "https://huggingface.co/prithivMLmods/Fractured-Line-Flare/resolve/main/images/FS1.png",
|
1464 |
+
"title": "Line Flare",
|
1465 |
+
"repo": "prithivMLmods/Fractured-Line-Flare",
|
1466 |
+
"weights": "Fractured-Line-Flare.safetensors",
|
1467 |
+
"trigger_word": "Fractured Line Flare"
|
1468 |
+
},
|
1469 |
+
#147
|
1470 |
+
{
|
1471 |
+
"image": "https://huggingface.co/prithivMLmods/Golden-Dust-Flux-LoRA/resolve/main/images/GD2.png",
|
1472 |
+
"title": "Golden Dust",
|
1473 |
+
"repo": "prithivMLmods/Golden-Dust-Flux-LoRA",
|
1474 |
+
"weights": "Golden-Dust.safetensors",
|
1475 |
+
"trigger_word": "Golden Dust"
|
1476 |
+
},
|
1477 |
+
#148
|
1478 |
+
{
|
1479 |
+
"image": "https://huggingface.co/prithivMLmods/Castor-Dramatic-Neon-Flux-LoRA/resolve/main/images/DN2.webp",
|
1480 |
+
"title": "Dramatic Neon",
|
1481 |
+
"repo": "prithivMLmods/Castor-Dramatic-Neon-Flux-LoRA",
|
1482 |
+
"weights": "Dramatic-Neon-Flux-LoRA.safetensors",
|
1483 |
+
"trigger_word": "Dramatic Neon"
|
1484 |
+
},
|
1485 |
+
#149
|
1486 |
+
{
|
1487 |
+
"image": "https://huggingface.co/tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator/resolve/main/images/sample7.jpeg",
|
1488 |
+
"title": "Outfit Generator",
|
1489 |
+
"repo": "tryonlabs/FLUX.1-dev-LoRA-Outfit-Generator",
|
1490 |
+
"weights": "outfit-generator.safetensors",
|
1491 |
+
"trigger_word": "Outfit"
|
1492 |
+
},
|
1493 |
+
#150
|
1494 |
+
{
|
1495 |
+
"image": "https://huggingface.co/davisbro/half_illustration/resolve/main/images/example1.webp",
|
1496 |
+
"title": "Half Illustration",
|
1497 |
+
"repo": "davisbro/half_illustration",
|
1498 |
+
"weights": "flux_train_replicate.safetensors",
|
1499 |
+
"trigger_word": "in the style of TOK"
|
1500 |
+
},
|
1501 |
+
#151
|
1502 |
+
{
|
1503 |
+
"image": "https://huggingface.co/bingbangboom/flux_oilscape/resolve/main/extras/3.jpg",
|
1504 |
+
"title": "Oilscape",
|
1505 |
+
"repo": "bingbangboom/flux_oilscape",
|
1506 |
+
"weights": "flux_Oilstyle.safetensors",
|
1507 |
+
"trigger_word": "in the style of Oilstyle002"
|
1508 |
+
},
|
1509 |
+
#152
|
1510 |
+
{
|
1511 |
+
"image": "https://huggingface.co/prithivMLmods/Red-Undersea-Flux-LoRA/resolve/main/images/RU1.png",
|
1512 |
+
"title": "Red Undersea Flux",
|
1513 |
+
"repo": "prithivMLmods/Red-Undersea-Flux-LoRA",
|
1514 |
+
"weights": "Red-Undersea.safetensors",
|
1515 |
+
"trigger_word": "Red Undersea"
|
1516 |
+
},
|
1517 |
+
#153
|
1518 |
+
{
|
1519 |
+
"image": "https://huggingface.co/prithivMLmods/3D-Render-Flux-LoRA/resolve/main/images/3D2.png",
|
1520 |
+
"title": "3D Render Flux LoRA",
|
1521 |
+
"repo": "prithivMLmods/3D-Render-Flux-LoRA",
|
1522 |
+
"weights": "3D_Portrait.safetensors",
|
1523 |
+
"trigger_word": "3D Portrait, 3d render"
|
1524 |
+
},
|
1525 |
+
#154
|
1526 |
+
{
|
1527 |
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"image": "https://huggingface.co/prithivMLmods/Yellow-Pop-Flux-Dev-LoRA/resolve/main/images/YP1.png",
|
1528 |
+
"title": "Yellow Pop Flux",
|
1529 |
+
"repo": "prithivMLmods/Yellow-Pop-Flux-Dev-LoRA",
|
1530 |
+
"weights": "Yellow_Pop.safetensors",
|
1531 |
+
"trigger_word": "Yellow Pop"
|
1532 |
+
},
|
1533 |
+
#155
|
1534 |
+
{
|
1535 |
+
"image": "https://huggingface.co/prithivMLmods/Purple-Grid-Flux-LoRA/resolve/main/images/PG2.png",
|
1536 |
+
"title": "Purple Grid Flux",
|
1537 |
+
"repo": "prithivMLmods/Purple-Grid-Flux-LoRA",
|
1538 |
+
"weights": "Purple_Grid.safetensors",
|
1539 |
+
"trigger_word": "Purple Grid"
|
1540 |
+
},
|
1541 |
+
#156
|
1542 |
+
{
|
1543 |
+
"image": "https://huggingface.co/prithivMLmods/Dark-Thing-Flux-LoRA/resolve/main/images/DT2.png",
|
1544 |
+
"title": "Dark Thing Flux",
|
1545 |
+
"repo": "prithivMLmods/Dark-Thing-Flux-LoRA",
|
1546 |
+
"weights": "Dark_Creature.safetensors",
|
1547 |
+
"trigger_word": "Dark Creature"
|
1548 |
+
},
|
1549 |
+
#157
|
1550 |
+
{
|
1551 |
+
"image": "https://huggingface.co/prithivMLmods/Shadow-Projection-Flux-LoRA/resolve/main/images/SP2.png",
|
1552 |
+
"title": "Shadow Projection",
|
1553 |
+
"repo": "prithivMLmods/Shadow-Projection-Flux-LoRA",
|
1554 |
+
"weights": "Shadow-Projection.safetensors",
|
1555 |
+
"trigger_word": "Shadow Projection"
|
1556 |
+
},
|
1557 |
+
#158
|
1558 |
+
{
|
1559 |
+
"image": "https://huggingface.co/prithivMLmods/Street-Bokeh-Flux-LoRA/resolve/main/images/SB2.png",
|
1560 |
+
"title": "Street Bokeh",
|
1561 |
+
"repo": "prithivMLmods/Street-Bokeh-Flux-LoRA",
|
1562 |
+
"weights": "Street_Bokeh.safetensors",
|
1563 |
+
"trigger_word": "Street Bokeh"
|
1564 |
+
},
|
1565 |
+
#159
|
1566 |
+
{
|
1567 |
+
"image": "https://huggingface.co/prithivMLmods/Abstract-Cartoon-Flux-LoRA/resolve/main/images/AC2.png",
|
1568 |
+
"title": "Abstract Cartoon",
|
1569 |
+
"repo": "prithivMLmods/Abstract-Cartoon-Flux-LoRA",
|
1570 |
+
"weights": "Abstract-Cartoon.safetensors",
|
1571 |
+
"trigger_word": "Abstract Cartoon"
|
1572 |
+
},
|
1573 |
+
#160
|
1574 |
+
{
|
1575 |
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"image": "https://huggingface.co/Norod78/CartoonStyle-flux-lora/resolve/main/samples/1725344450635__000003800_1.jpg",
|
1576 |
+
"title": "Cartoon Style Flux",
|
1577 |
+
"repo": "Norod78/CartoonStyle-flux-lora",
|
1578 |
+
"weights": "CartoonStyle_flux_lora.safetensors",
|
1579 |
+
"trigger_word": ""
|
1580 |
+
},
|
1581 |
+
#161
|
1582 |
+
{
|
1583 |
+
"image": "https://huggingface.co/prithivMLmods/Digital-Chaos-Flux-LoRA/resolve/main/images/HDRDC3.webp",
|
1584 |
+
"title": "HDR Digital Chaos",
|
1585 |
+
"repo": "prithivMLmods/Digital-Chaos-Flux-LoRA",
|
1586 |
+
"weights": "HDR-Digital-Chaos.safetensors",
|
1587 |
+
"trigger_word": "Digital Chaos"
|
1588 |
+
},
|
1589 |
+
#162
|
1590 |
+
{
|
1591 |
+
"image": "https://huggingface.co/prithivMLmods/Yellow-Laser-Flux-LoRA/resolve/main/images/YL1.png",
|
1592 |
+
"title": "Yellow Laser",
|
1593 |
+
"repo": "prithivMLmods/Yellow-Laser-Flux-LoRA",
|
1594 |
+
"weights": "Yellow-Laser.safetensors",
|
1595 |
+
"trigger_word": "Yellow Lasers"
|
1596 |
+
},
|
1597 |
+
#163
|
1598 |
+
{
|
1599 |
+
"image": "https://huggingface.co/prithivMLmods/Bold-Shadows-Flux-LoRA/resolve/main/images/BS1.png",
|
1600 |
+
"title": "Bold Shadows",
|
1601 |
+
"repo": "prithivMLmods/Bold-Shadows-Flux-LoRA",
|
1602 |
+
"weights": "Bold-Shadows.safetensors",
|
1603 |
+
"trigger_word": "Bold Shadows"
|
1604 |
+
},
|
1605 |
+
#164
|
1606 |
+
{
|
1607 |
+
"image": "https://huggingface.co/prithivMLmods/Knitted-Character-Flux-LoRA/resolve/main/images/KC1.png",
|
1608 |
+
"title": "Knitted Character",
|
1609 |
+
"repo": "prithivMLmods/Knitted-Character-Flux-LoRA",
|
1610 |
+
"weights": "Knitted-Character.safetensors",
|
1611 |
+
"trigger_word": "Knitted Character"
|
1612 |
+
},
|
1613 |
+
#165
|
1614 |
+
{
|
1615 |
+
"image": "https://huggingface.co/alvdansen/frosting_lane_flux/resolve/main/images/content%20-%202024-08-11T010011.238.jpeg",
|
1616 |
+
"title": "Frosting Lane",
|
1617 |
+
"repo": "alvdansen/frosting_lane_flux",
|
1618 |
+
"trigger_word": "frstingln illustration"
|
1619 |
+
},
|
1620 |
+
#166
|
1621 |
+
{
|
1622 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-Realism-FineDetailed/resolve/main/images/FD2.png",
|
1623 |
+
"title": "Fine Detailed Character",
|
1624 |
+
"repo": "prithivMLmods/Flux-Realism-FineDetailed",
|
1625 |
+
"weights": "Flux-Realism-FineDetailed.safetensors",
|
1626 |
+
"trigger_word": "Fine Detailed"
|
1627 |
+
},
|
1628 |
+
#167
|
1629 |
+
{
|
1630 |
+
"image": "https://huggingface.co/prithivMLmods/Aura-9999/resolve/main/images/A3.png",
|
1631 |
+
"title": "Aura 9999+",
|
1632 |
+
"repo": "prithivMLmods/Aura-9999",
|
1633 |
+
"weights": "Aura-9999.safetensors",
|
1634 |
+
"trigger_word": "Aura 9999"
|
1635 |
+
},
|
1636 |
+
#168
|
1637 |
+
{
|
1638 |
+
"image": "https://huggingface.co/prithivMLmods/Pastel-BG-Flux-LoRA/resolve/main/images/PB2.png",
|
1639 |
+
"title": "Pastel BG",
|
1640 |
+
"repo": "prithivMLmods/Pastel-BG-Flux-LoRA",
|
1641 |
+
"weights": "Pastel-BG.safetensors",
|
1642 |
+
"trigger_word": "Pastel BG"
|
1643 |
+
},
|
1644 |
+
#169
|
1645 |
+
{
|
1646 |
+
"image": "https://huggingface.co/prithivMLmods/Green-Cartoon-Flux-LoRA/resolve/main/images/GC1.png",
|
1647 |
+
"title": "Green Cartoon",
|
1648 |
+
"repo": "prithivMLmods/Green-Cartoon-Flux-LoRA",
|
1649 |
+
"weights": "Green-Cartoon.safetensors",
|
1650 |
+
"trigger_word": "Green Cartoon"
|
1651 |
+
},
|
1652 |
+
#170
|
1653 |
+
{
|
1654 |
+
"image": "https://huggingface.co/prithivMLmods/Retro-Pixel-Flux-LoRA/resolve/main/images/RP1.png",
|
1655 |
+
"title": "Retro Pixel",
|
1656 |
+
"repo": "prithivMLmods/Retro-Pixel-Flux-LoRA",
|
1657 |
+
"weights": "Retro-Pixel.safetensors",
|
1658 |
+
"trigger_word": "Retro Pixel"
|
1659 |
+
},
|
1660 |
+
#171
|
1661 |
+
{
|
1662 |
+
"image": "https://huggingface.co/prithivMLmods/Teen-Outfit/resolve/main/images/TO2.png",
|
1663 |
+
"title": "Teen Outfit",
|
1664 |
+
"repo": "prithivMLmods/Teen-Outfit",
|
1665 |
+
"weights": "Teen-Outfit.safetensors",
|
1666 |
+
"trigger_word": "Teen Outfit"
|
1667 |
+
},
|
1668 |
+
#172
|
1669 |
+
{
|
1670 |
+
"image": "https://huggingface.co/prithivMLmods/CAnime-LoRA/resolve/main/images/CA3.png",
|
1671 |
+
"title": "CAnime",
|
1672 |
+
"repo": "prithivMLmods/CAnime-LoRA",
|
1673 |
+
"weights": "CAnime.safetensors",
|
1674 |
+
"trigger_word": "CAnime"
|
1675 |
+
},
|
1676 |
+
#173
|
1677 |
+
{
|
1678 |
+
"image": "https://huggingface.co/prithivMLmods/Super-Pencil-Flux-LoRA/resolve/main/images/SP1.png",
|
1679 |
+
"title": "Simple Pencil",
|
1680 |
+
"repo": "prithivMLmods/Super-Pencil-Flux-LoRA",
|
1681 |
+
"weights": "Pencil.safetensors",
|
1682 |
+
"trigger_word": "Simple Pencil"
|
1683 |
+
},
|
1684 |
+
#174
|
1685 |
+
{
|
1686 |
+
"image": "https://huggingface.co/martintomov/retrofuturism-flux/resolve/main/images/2e40deba-858e-454f-ae1c-d1ba2adb6a65.jpeg",
|
1687 |
+
"title": "Retro futurism",
|
1688 |
+
"repo": "martintomov/retrofuturism-flux",
|
1689 |
+
"weights": "retrofuturism_flux_lora_martintomov_v1.safetensors",
|
1690 |
+
"trigger_word": "retrofuturism"
|
1691 |
+
},
|
1692 |
+
#175
|
1693 |
+
{
|
1694 |
+
"image": "https://huggingface.co/Bootoshi/retroanime/resolve/main/images/9f21dffe-c4da-46c0-b0a6-e06257cf98d6.webp",
|
1695 |
+
"title": "Retro Anime",
|
1696 |
+
"repo": "Bootoshi/retroanime",
|
1697 |
+
"weights": "RetroAnimeFluxV1.safetensors",
|
1698 |
+
"trigger_word": "retro anime"
|
1699 |
+
},
|
1700 |
+
#176
|
1701 |
+
{
|
1702 |
+
"image": "https://huggingface.co/alvdansen/plushy-world-flux/resolve/main/images/ComfyUI_00666_%20(1).png",
|
1703 |
+
"title": "Plushy world",
|
1704 |
+
"repo": "alvdansen/plushy-world-flux",
|
1705 |
+
"weights": "plushy_world_flux_araminta_k.safetensors",
|
1706 |
+
"trigger_word": "3dcndylnd style"
|
1707 |
+
},
|
1708 |
+
#177
|
1709 |
+
{
|
1710 |
+
"image": "https://huggingface.co/renderartist/ROYGBIVFlux/resolve/main/images/ComfyUI_temp_qpxhm_00154_.png",
|
1711 |
+
"title": "ROYGBIVFlux",
|
1712 |
+
"repo": "renderartist/ROYGBIVFlux",
|
1713 |
+
"weights": "ROYGBIV_Flux_v1_renderartist.safetensors",
|
1714 |
+
"trigger_word": "r0ygb1v, digital illustration, textured"
|
1715 |
+
},
|
1716 |
+
#178
|
1717 |
+
{
|
1718 |
+
"image": "https://huggingface.co/alvdansen/sonny-anime-flex/resolve/main/images/GLuFasaLyEoBaAUQMREVf_20b5cf5b178a404296978e360a9ac435.png",
|
1719 |
+
"title": "sonny anime",
|
1720 |
+
"repo": "alvdansen/sonny-anime-flex",
|
1721 |
+
"weights": "araminta_k_sonnyanime_fluxd_flex.safetensors",
|
1722 |
+
"trigger_word": "nm22 [style] style"
|
1723 |
+
},
|
1724 |
+
#179
|
1725 |
+
{
|
1726 |
+
"image": "https://huggingface.co/bingbangboom/flux_whimscape/resolve/main/images/2.png",
|
1727 |
+
"title": "flux whimscape",
|
1728 |
+
"repo": "bingbangboom/flux_whimscape",
|
1729 |
+
"weights": "WHMSCPE001.safetensors",
|
1730 |
+
"trigger_word": "illustration in the style of WHMSCPE001"
|
1731 |
+
},
|
1732 |
+
#180
|
1733 |
+
{
|
1734 |
+
"image": "https://huggingface.co/glif-loradex-trainer/AP123_movie_shots_ic_lora_experiment_v1/resolve/main/samples/1730923312010__000000500_1.jpg",
|
1735 |
+
"title": "movie shots ic lora",
|
1736 |
+
"repo": "glif-loradex-trainer/AP123_movie_shots_ic_lora_experiment_v1",
|
1737 |
+
"weights": "movie_shots_ic_lora_experiment_v1.safetensors",
|
1738 |
+
"trigger_word": "MOVIE-SHOTS"
|
1739 |
+
},
|
1740 |
+
#181
|
1741 |
+
{
|
1742 |
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"image": "https://huggingface.co/glif/LiDAR-Vision/resolve/main/images/f8f1995e-c583-425b-b73a-f3e873ce1005.png",
|
1743 |
+
"title": "LiDAR",
|
1744 |
+
"repo": "glif/LiDAR-Vision",
|
1745 |
+
"weights": "Lidar.safetensors",
|
1746 |
+
"trigger_word": "L1d4r"
|
1747 |
+
},
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1748 |
+
#182
|
1749 |
+
{
|
1750 |
+
"image": "https://huggingface.co/prithivMLmods/Canopus-Flux-LoRA-Hoodies/resolve/main/images/XXX.png",
|
1751 |
+
"title": "Hoodies",
|
1752 |
+
"repo": "prithivMLmods/Canopus-Flux-LoRA-Hoodies",
|
1753 |
+
"weights": "Canopus-Flux-LoRA-Hoodies.safetensors",
|
1754 |
+
"trigger_word": "Hoodie"
|
1755 |
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},
|
1756 |
+
#183
|
1757 |
+
{
|
1758 |
+
"image": "https://huggingface.co/dvyio/flux-lora-rdr2/resolve/main/images/RTqPoC9s0M1wNhago27OV_dda06f47ee764202aa5e55efa923b94e.jpg",
|
1759 |
+
"title": "World of RDR",
|
1760 |
+
"repo": "dvyio/flux-lora-rdr2",
|
1761 |
+
"weights": "eb79a593332f40458ea36fe0782f01a4_pytorch_lora_weights.safetensors",
|
1762 |
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"trigger_word": "in the style of RDRGM"
|
1763 |
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},
|
1764 |
+
#184
|
1765 |
+
{
|
1766 |
+
"image": "https://huggingface.co/Fihade/Retro-Collage-Art-Flux-Dev/resolve/main/images/005.jpeg",
|
1767 |
+
"title": "Retro Collage Art",
|
1768 |
+
"repo": "Fihade/Retro-Collage-Art-Flux-Dev",
|
1769 |
+
"weights": "flux_dev_ff_collage_artstyle.safetensors",
|
1770 |
+
"trigger_word": "ff-collage"
|
1771 |
+
},
|
1772 |
+
#185
|
1773 |
+
{
|
1774 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Quote-LoRA/resolve/main/images/QQ2.png",
|
1775 |
+
"title": "Quote",
|
1776 |
+
"repo": "prithivMLmods/Flux.1-Dev-Quote-LoRA",
|
1777 |
+
"weights": "quoter001.safetensors",
|
1778 |
+
"trigger_word": "quoter"
|
1779 |
+
},
|
1780 |
+
#186
|
1781 |
+
{
|
1782 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA/resolve/main/images/SS2.png",
|
1783 |
+
"title": "Stamp",
|
1784 |
+
"repo": "prithivMLmods/Flux.1-Dev-Stamp-Art-LoRA",
|
1785 |
+
"weights": "stam9.safetensors",
|
1786 |
+
"trigger_word": "stam9"
|
1787 |
+
},
|
1788 |
+
#187
|
1789 |
+
{
|
1790 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA/resolve/main/images/H3.png",
|
1791 |
+
"title": "Hand Sticky",
|
1792 |
+
"repo": "prithivMLmods/Flux.1-Dev-Hand-Sticky-LoRA",
|
1793 |
+
"weights": "handstick69.safetensors",
|
1794 |
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"trigger_word": "handstick69"
|
1795 |
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},
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1796 |
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#188
|
1797 |
+
{
|
1798 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Poster-HQ-LoRA/resolve/main/images/PP2.png",
|
1799 |
+
"title": "Poster Foss",
|
1800 |
+
"repo": "prithivMLmods/Flux.1-Dev-Poster-HQ-LoRA",
|
1801 |
+
"weights": "poster-foss.safetensors",
|
1802 |
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|
1803 |
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},
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1804 |
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#189
|
1805 |
+
{
|
1806 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Ctoon-LoRA/resolve/main/images/C3.png",
|
1807 |
+
"title": "Ctoon",
|
1808 |
+
"repo": "prithivMLmods/Flux.1-Dev-Ctoon-LoRA",
|
1809 |
+
"weights": "ctoon.safetensors",
|
1810 |
+
"trigger_word": "ctoon"
|
1811 |
+
},
|
1812 |
+
#190
|
1813 |
+
{
|
1814 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-C33-Design-LoRA/resolve/main/images/3.png",
|
1815 |
+
"title": "C33 Design",
|
1816 |
+
"repo": "prithivMLmods/Flux-C33-Design-LoRA",
|
1817 |
+
"weights": "C33.safetensors",
|
1818 |
+
"trigger_word": "C33 Design"
|
1819 |
+
},
|
1820 |
+
#191
|
1821 |
+
{
|
1822 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Indo-Realism-LoRA/resolve/main/images/333.png",
|
1823 |
+
"title": "Indo Realism",
|
1824 |
+
"repo": "prithivMLmods/Flux.1-Dev-Indo-Realism-LoRA",
|
1825 |
+
"weights": "indo-realism.safetensors",
|
1826 |
+
"trigger_word": "indo-realism"
|
1827 |
+
},
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1828 |
+
#192
|
1829 |
+
{
|
1830 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA/resolve/main/images/SC2.png",
|
1831 |
+
"title": "Sketch Card",
|
1832 |
+
"repo": "prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA",
|
1833 |
+
"weights": "sketchcard.safetensors",
|
1834 |
+
"trigger_word": "sketch card"
|
1835 |
+
},
|
1836 |
+
#193
|
1837 |
+
{
|
1838 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Movie-Boards-LoRA/resolve/main/images/MB1.png",
|
1839 |
+
"title": "Movie Board",
|
1840 |
+
"repo": "prithivMLmods/Flux.1-Dev-Movie-Boards-LoRA",
|
1841 |
+
"weights": "movieboard.safetensors",
|
1842 |
+
"trigger_word": "movieboard"
|
1843 |
+
},
|
1844 |
+
#194
|
1845 |
+
{
|
1846 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Pov-DoorEye-LoRA/resolve/main/images/L4.png",
|
1847 |
+
"title": "Door Eye View",
|
1848 |
+
"repo": "prithivMLmods/Flux.1-Dev-Pov-DoorEye-LoRA",
|
1849 |
+
"weights": "look-in-2.safetensors",
|
1850 |
+
"trigger_word": "look in 2"
|
1851 |
+
},
|
1852 |
+
#195
|
1853 |
+
{
|
1854 |
+
"image": "https://huggingface.co/alvdansen/enna-sketch-style/resolve/main/images/out-0%20(23).webp",
|
1855 |
+
"title": "Enna Sketch",
|
1856 |
+
"repo": "alvdansen/enna-sketch-style",
|
1857 |
+
"weights": "enna_sketch_style_araminta_k.safetensors",
|
1858 |
+
"trigger_word": "sketch illustration style"
|
1859 |
+
},
|
1860 |
+
#196
|
1861 |
+
{
|
1862 |
+
"image": "https://huggingface.co/jbilcke-hf/flux-dev-panorama-lora-2/resolve/main/samples/HDRI%20panoramic%20view%20of%20TOK%2C%20visiting%20an%20amusement%20park%20about%20harry%20potter.webp",
|
1863 |
+
"title": "Panorama",
|
1864 |
+
"repo": "jbilcke-hf/flux-dev-panorama-lora-2",
|
1865 |
+
"weights": "flux_train_replicate.safetensors",
|
1866 |
+
"trigger_word": "HDRI panoramic view of TOK"
|
1867 |
+
},
|
1868 |
+
#197
|
1869 |
+
{
|
1870 |
+
"image": "https://huggingface.co/Shakker-Labs/FLUX.1-dev-LoRA-Micro-landscape-on-Mobile-Phone/resolve/main/images/a29b8763a8f733dea09c1ab07a42263ef6e304cb81be3f5c97fbf8f6.jpg",
|
1871 |
+
"title": "Micro Landscape",
|
1872 |
+
"repo": "Shakker-Labs/FLUX.1-dev-LoRA-Micro-landscape-on-Mobile-Phone",
|
1873 |
+
"weights": "FLUX-dev-lora-micro-landscape.safetensors",
|
1874 |
+
"trigger_word": "miniature stereoscopic scene"
|
1875 |
+
},
|
1876 |
+
#198
|
1877 |
+
{
|
1878 |
+
"image": "https://huggingface.co/glif-loradex-trainer/goldenark__Ancient_Greece_Watercolor_Sketch_Style/resolve/main/samples/1727152322975__000002000_0.jpg",
|
1879 |
+
"title": "Ancient Greece Watercolor",
|
1880 |
+
"repo": "glif-loradex-trainer/goldenark__Ancient_Greece_Watercolor_Sketch_Style",
|
1881 |
+
"weights": "Ancient_Greece_Watercolor_Sketch_Style.safetensors",
|
1882 |
+
"trigger_word": "AncientWaterColorStyle"
|
1883 |
+
},
|
1884 |
+
#199
|
1885 |
+
{
|
1886 |
+
"image": "https://huggingface.co/glif-loradex-trainer/i12bp8_appelsiensam_mii_v1/resolve/main/samples/1731918886531__000003000_0.jpg",
|
1887 |
+
"title": "M11 PPLSNSM",
|
1888 |
+
"repo": "glif-loradex-trainer/i12bp8_appelsiensam_mii_v1",
|
1889 |
+
"weights": "appelsiensam_mii_v1.safetensors",
|
1890 |
+
"trigger_word": "M11_PPLSNSM"
|
1891 |
+
},
|
1892 |
+
#200
|
1893 |
+
{
|
1894 |
+
"image": "https://huggingface.co/glif-loradex-trainer/an303042_RisographPrint_v1/resolve/main/samples/1731852835625__000003000_5.jpg",
|
1895 |
+
"title": "RisographPrint",
|
1896 |
+
"repo": "glif-loradex-trainer/an303042_RisographPrint_v1",
|
1897 |
+
"weights": "RisographPrint_v1.safetensors",
|
1898 |
+
"trigger_word": "rsgrf , risograph"
|
1899 |
+
},
|
1900 |
+
#201
|
1901 |
+
{
|
1902 |
+
"image": "https://huggingface.co/gokaygokay/Flux-White-Background-LoRA/resolve/main/images/example_mtojzmerf.png",
|
1903 |
+
"title": "White Background",
|
1904 |
+
"repo": "gokaygokay/Flux-White-Background-LoRA",
|
1905 |
+
"weights": "80cfbf52faf541d49c6abfe1ac571112_lora.safetensors",
|
1906 |
+
"trigger_word": "in the middle ,white background"
|
1907 |
+
},
|
1908 |
+
#202
|
1909 |
+
{
|
1910 |
+
"image": "https://huggingface.co/glif/Gesture-Draw/resolve/main/images/cf8697fb-d6b4-4684-8a1d-82beb9d266ed.jpg",
|
1911 |
+
"title": "Gesture Draw",
|
1912 |
+
"repo": "glif/Gesture-Draw",
|
1913 |
+
"weights": "Gesture_Draw_v1.safetensors",
|
1914 |
+
"trigger_word": "gstdrw style"
|
1915 |
+
},
|
1916 |
+
#203
|
1917 |
+
{
|
1918 |
+
"image": "https://huggingface.co/MuninStudio/FLUX.1-dev-LoRA-Hard-Flash/resolve/main/images/02.jpg",
|
1919 |
+
"title": "Hard Flash",
|
1920 |
+
"repo": "MuninStudio/FLUX.1-dev-LoRA-Hard-Flash",
|
1921 |
+
"weights": "HRDFLS.safetensors",
|
1922 |
+
"trigger_word": "HRDFLS"
|
1923 |
+
},
|
1924 |
+
#204
|
1925 |
+
{
|
1926 |
+
"image": "https://huggingface.co/dvyio/flux-lora-the-sims/resolve/main/images/dunBAVBsALOepaE_dsWFI_6b0fef6b0fc4472aa07d00edea7c75b3.jpg",
|
1927 |
+
"title": "SIMS",
|
1928 |
+
"repo": "dvyio/flux-lora-the-sims",
|
1929 |
+
"weights": "011ed14848b3408c8d70d3ecfa14f122_lora.safetensors",
|
1930 |
+
"trigger_word": "video game screenshot in the style of THSMS"
|
1931 |
+
},
|
1932 |
+
#205
|
1933 |
+
{
|
1934 |
+
"image": "https://huggingface.co/UmeAiRT/FLUX.1-dev-LoRA-Ume_Sky/resolve/main/images/flux_00171_.png",
|
1935 |
+
"title": "Umesky",
|
1936 |
+
"repo": "UmeAiRT/FLUX.1-dev-LoRA-Ume_Sky",
|
1937 |
+
"weights": "ume_sky_v2.safetensors",
|
1938 |
+
"trigger_word": "umesky"
|
1939 |
+
},
|
1940 |
+
#206
|
1941 |
+
{
|
1942 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Realtime-Toon-Mix/resolve/main/images/T1.png",
|
1943 |
+
"title": "Realtime Toon Mix",
|
1944 |
+
"repo": "prithivMLmods/Flux.1-Dev-Realtime-Toon-Mix",
|
1945 |
+
"weights": "toon-mix.safetensors",
|
1946 |
+
"trigger_word": "toon mix"
|
1947 |
+
},
|
1948 |
+
#207
|
1949 |
+
{
|
1950 |
+
"image": "https://huggingface.co/oshtz/flux-pointcrayonstyle/resolve/main/images/pointcrayonstyle%20illustration%2C%20at%20a%20lighthouse%2C%20the%20ambiance%20is%20exotic%20and%20mysterious.png",
|
1951 |
+
"title": "Pointcrayonstyle",
|
1952 |
+
"repo": "oshtz/flux-pointcrayonstyle",
|
1953 |
+
"weights": "flux-pointcrayonstyle.safetensors",
|
1954 |
+
"trigger_word": "pointcrayonstyle"
|
1955 |
+
},
|
1956 |
+
#208
|
1957 |
+
{
|
1958 |
+
"image": "https://huggingface.co/Purz/vhs-box/resolve/main/33727059.jpeg",
|
1959 |
+
"title": "VSH Box",
|
1960 |
+
"repo": "Purz/vhs-box",
|
1961 |
+
"weights": "purz-vhs_box.safetensors",
|
1962 |
+
"trigger_word": "vhs_box"
|
1963 |
+
},
|
1964 |
+
#209
|
1965 |
+
{
|
1966 |
+
"image": "https://huggingface.co/nerijs/flux_prettyshot_v1/resolve/main/images/image_5.png",
|
1967 |
+
"title": "Prettyshot",
|
1968 |
+
"repo": "nerijs/flux_prettyshot_v1",
|
1969 |
+
"weights": "flux_prettyshot_v1.safetensors",
|
1970 |
+
"trigger_word": "pr3ttysh0t"
|
1971 |
+
},
|
1972 |
+
#210
|
1973 |
+
{
|
1974 |
+
"image": "https://huggingface.co/glif-loradex-trainer/insectagon_pipo_hippo1/resolve/main/samples/1729839793051__000001500_1.jpg",
|
1975 |
+
"title": "Insectagon pipo",
|
1976 |
+
"repo": "glif-loradex-trainer/insectagon_pipo_hippo1",
|
1977 |
+
"weights": "pipo_hippo1.safetensors",
|
1978 |
+
"trigger_word": "pipo_meme"
|
1979 |
+
},
|
1980 |
+
#211
|
1981 |
+
{
|
1982 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-Polaroid-Plus/resolve/main/images/P1.png",
|
1983 |
+
"title": "Polaroid Plus",
|
1984 |
+
"repo": "prithivMLmods/Flux-Polaroid-Plus",
|
1985 |
+
"weights": "polaroid-plus.safetensors",
|
1986 |
+
"trigger_word": "Polaroid Collage"
|
1987 |
+
},
|
1988 |
+
#212
|
1989 |
+
{
|
1990 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-Product-Ad-Backdrop/resolve/main/images/PA1.png",
|
1991 |
+
"title": "Product Ad",
|
1992 |
+
"repo": "prithivMLmods/Flux-Product-Ad-Backdrop",
|
1993 |
+
"weights": "Prod-Ad.safetensors",
|
1994 |
+
"trigger_word": "Product Ad"
|
1995 |
+
},
|
1996 |
+
#213
|
1997 |
+
{
|
1998 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-Art-Nightmare-99/resolve/main/images/NM4.png",
|
1999 |
+
"title": "Nightmare 99",
|
2000 |
+
"repo": "prithivMLmods/Flux-Art-Nightmare-99",
|
2001 |
+
"weights": "nm99.safetensors",
|
2002 |
+
"trigger_word": "nm99"
|
2003 |
+
},
|
2004 |
+
#214
|
2005 |
+
{
|
2006 |
+
"image": "https://huggingface.co/prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA/resolve/main/images/FG1.png",
|
2007 |
+
"title": "Frosted Container",
|
2008 |
+
"repo": "prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA",
|
2009 |
+
"weights": "frosted-gc.safetensors",
|
2010 |
+
"trigger_word": "frosted GC"
|
2011 |
+
},
|
2012 |
+
#215
|
2013 |
+
{
|
2014 |
+
"image": "https://huggingface.co/glif-loradex-trainer/swap_magenta_kuki_roblox/resolve/main/samples/1731068408259__000001500_4.jpg",
|
2015 |
+
"title": "Magenta Kuki Roblox",
|
2016 |
+
"repo": "glif-loradex-trainer/swap_magenta_kuki_roblox",
|
2017 |
+
"weights": "magenta_kuki_roblox.safetensors",
|
2018 |
+
"trigger_word": "kuki_magenta, roblox"
|
2019 |
+
},
|
2020 |
+
#216
|
2021 |
+
{
|
2022 |
+
"image": "https://huggingface.co/glif-loradex-trainer/maxxd4240_PleinAir/resolve/main/samples/1730493095161__000003000_4.jpg",
|
2023 |
+
"title": "Plein Air",
|
2024 |
+
"repo": "glif-loradex-trainer/maxxd4240_PleinAir",
|
2025 |
+
"weights": "PleinAir.safetensors",
|
2026 |
+
"trigger_word": "P1e!n"
|
2027 |
+
},
|
2028 |
+
#217
|
2029 |
+
{
|
2030 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-GArt-LoRA/resolve/main/images/G2.png",
|
2031 |
+
"title": "GArt",
|
2032 |
+
"repo": "prithivMLmods/Flux-GArt-LoRA",
|
2033 |
+
"weights": "GArt.safetensors",
|
2034 |
+
"trigger_word": "GArt"
|
2035 |
+
},
|
2036 |
+
#218
|
2037 |
+
{
|
2038 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-Super-Capybara-HF/resolve/main/images/C2.png",
|
2039 |
+
"title": "Capybara HF",
|
2040 |
+
"repo": "strangerzonehf/Flux-Super-Capybara-HF",
|
2041 |
+
"weights": "capybara-hf.safetensors",
|
2042 |
+
"trigger_word": "capybara hf"
|
2043 |
+
},
|
2044 |
+
#219
|
2045 |
+
{
|
2046 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-Fine-Detail-LoRA/resolve/main/images/SR1.png",
|
2047 |
+
"title": "Fine Detail",
|
2048 |
+
"repo": "prithivMLmods/Flux-Fine-Detail-LoRA",
|
2049 |
+
"weights": "Fine-Detail.safetensors",
|
2050 |
+
"trigger_word": "Super Detail"
|
2051 |
+
},
|
2052 |
+
#220
|
2053 |
+
{
|
2054 |
+
"image": "https://huggingface.co/gokaygokay/Flux-Digital-Backgrounds-LoRA/resolve/main/images/image1.jpg",
|
2055 |
+
"title": "Digital Backgrounds",
|
2056 |
+
"repo": "gokaygokay/Flux-Digital-Backgrounds-LoRA",
|
2057 |
+
"weights": "digital_background_lora.safetensors",
|
2058 |
+
"trigger_word": "dgtlbg"
|
2059 |
+
},
|
2060 |
+
#221
|
2061 |
+
{
|
2062 |
+
"image": "https://huggingface.co/gokaygokay/Flux-Realistic-Backgrounds-LoRA/resolve/main/images/image1.jpg",
|
2063 |
+
"title": "Realistic Backgrounds",
|
2064 |
+
"repo": "gokaygokay/Flux-Realistic-Backgrounds-LoRA",
|
2065 |
+
"weights": "realistic_background_lora.safetensors",
|
2066 |
+
"trigger_word": "rlstcbg"
|
2067 |
+
},
|
2068 |
+
#222
|
2069 |
+
{
|
2070 |
+
"image": "https://huggingface.co/prithivMLmods/Flux-Lego-Ref-LoRA/resolve/main/images/2.png",
|
2071 |
+
"title": "LEGO",
|
2072 |
+
"repo": "prithivMLmods/Flux-Lego-Ref-LoRA",
|
2073 |
+
"weights": "Lego.safetensors",
|
2074 |
+
"trigger_word": "lego --fref --89890"
|
2075 |
+
},
|
2076 |
+
#223
|
2077 |
+
{
|
2078 |
+
"image": "https://huggingface.co/strangerzonehf/Flux-3DXL-Partfile-0002/resolve/main/images/44.png",
|
2079 |
+
"title": "3DXLP2",
|
2080 |
+
"repo": "strangerzonehf/Flux-3DXL-Partfile-0002",
|
2081 |
+
"weights": "3DXLP2.safetensors",
|
2082 |
+
"trigger_word": "3DXLP2"
|
2083 |
+
},
|
2084 |
+
|
2085 |
+
#add new
|
2086 |
]
|
2087 |
|
2088 |
#--------------------------------------------------Model Initialization-----------------------------------------------------------------------------------------#
|
|
|
2148 |
height,
|
2149 |
)
|
2150 |
|
2151 |
+
@spaces.GPU(duration=120)
|
2152 |
def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress):
|
2153 |
pipe.to("cuda")
|
2154 |
generator = torch.Generator(device="cuda").manual_seed(seed)
|
|
|
2185 |
).images[0]
|
2186 |
return final_image
|
2187 |
|
2188 |
+
@spaces.GPU(duration=120)
|
2189 |
def run_lora(prompt, image_input, image_strength, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
|
2190 |
if selected_index is None:
|
2191 |
+
raise gr.Error("You must select a LoRA before proceeding.🧨")
|
2192 |
selected_lora = loras[selected_index]
|
2193 |
lora_path = selected_lora["repo"]
|
2194 |
trigger_word = selected_lora["trigger_word"]
|
|
|
2246 |
base_model = model_card.data.get("base_model")
|
2247 |
print(base_model)
|
2248 |
|
2249 |
+
#Allows Both
|
2250 |
if((base_model != "black-forest-labs/FLUX.1-dev") and (base_model != "black-forest-labs/FLUX.1-schnell")):
|
2251 |
raise Exception("Flux LoRA Not Found!")
|
2252 |
+
|
2253 |
# Only allow "black-forest-labs/FLUX.1-dev"
|
2254 |
#if base_model != "black-forest-labs/FLUX.1-dev":
|
2255 |
#raise Exception("Only FLUX.1-dev is supported, other LoRA models are not allowed!")
|
|
|
2323 |
|
2324 |
run_lora.zerogpu = True
|
2325 |
|
2326 |
+
title = "Hex Game Maker"
|
2327 |
+
with gr.Blocks(css_paths="style_20250128.css", title=title, theme='Surn/beeuty', delete_cache=(240, 240)) as app:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2328 |
title = gr.HTML(
|
2329 |
+
"""<h1>Hex Game Maker🥳</h1>""",
|
2330 |
elem_id="title",
|
2331 |
)
|
2332 |
selected_index = gr.State(None)
|
2333 |
with gr.Row():
|
2334 |
with gr.Column(scale=3):
|
2335 |
+
prompt = gr.Textbox(label="Prompt", lines=1, placeholder=":/ choose the LoRA and type the prompt ")
|
2336 |
with gr.Column(scale=1, elem_id="gen_column"):
|
2337 |
generate_button = gr.Button("Generate", variant="primary", elem_id="gen_btn")
|
2338 |
with gr.Row():
|
|
|
2373 |
randomize_seed = gr.Checkbox(True, label="Randomize seed")
|
2374 |
seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
|
2375 |
lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=3, step=0.01, value=0.95)
|
2376 |
+
with gr.Row():
|
2377 |
+
gr.HTML(value=versions_html(), visible=True, elem_id="versions")
|
2378 |
|
2379 |
gallery.select(
|
2380 |
update_selection,
|
|
|
2398 |
)
|
2399 |
|
2400 |
app.queue()
|
2401 |
+
app.launch(allowed_paths=["assets","/","./assets","images","./images", "./images/prerendered"], favicon_path="./assets/favicon.ico", max_file_size="10mb")
|
assets/Beeuty-1.png
ADDED
![]() |
Git LFS Details
|
assets/examples/favicon.ico
ADDED
|
assets/examples/hex_flower_logo.png
ADDED
![]() |
Git LFS Details
|
assets/examples/hex_map_p1.png
ADDED
![]() |
Git LFS Details
|
assets/examples/hex_map_p1_overlayed.png
ADDED
![]() |
Git LFS Details
|
assets/examples/hexed_fract_1.png
ADDED
![]() |
Git LFS Details
|
assets/examples/tmpzt3mblvk.png
ADDED
![]() |
Git LFS Details
|
assets/favicon.ico
ADDED
|
images/Beeuty-1.png
ADDED
![]() |
Git LFS Details
|
images/logo.png
ADDED
![]() |
Git LFS Details
|
images/logo_hex.png
ADDED
![]() |
Git LFS Details
|
images/prerendered/elevated_peninsula_1.png
ADDED
![]() |
Git LFS Details
|
images/prerendered/grid_1.png
ADDED
![]() |
Git LFS Details
|
images/prerendered/hex_grass_dirty.png
ADDED
![]() |
Git LFS Details
|
images/prerendered/hex_mixed_elevations_battlefield_1.png
ADDED
![]() |
Git LFS Details
|
images/prerendered/hex_mixed_elevations_battlefield_2.png
ADDED
![]() |
Git LFS Details
|
images/prerendered/oasis_mixed_elevations_1.png
ADDED
![]() |
Git LFS Details
|
images/prerendered/pic526383.png
ADDED
![]() |
Git LFS Details
|
images/prerendered/roadway_1.png
ADDED
![]() |
Git LFS Details
|
modules/color_utils.py
ADDED
@@ -0,0 +1,214 @@
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# modules/color_utils.py
|
2 |
+
|
3 |
+
from PIL import Image, ImageColor
|
4 |
+
import re
|
5 |
+
import cairocffi as cairo
|
6 |
+
import pangocffi
|
7 |
+
import pangocairocffi
|
8 |
+
|
9 |
+
|
10 |
+
def multiply_and_clamp(value, scale, min_value=0, max_value=255):
|
11 |
+
return min(max(value * scale, min_value), max_value)
|
12 |
+
|
13 |
+
# Convert decimal color to hexadecimal color (rgb or rgba)
|
14 |
+
def rgb_to_hex(rgb):
|
15 |
+
color = "#"
|
16 |
+
for i in rgb:
|
17 |
+
num = int(i)
|
18 |
+
color += str(hex(num))[-2:].replace("x", "0").upper()
|
19 |
+
return color
|
20 |
+
|
21 |
+
def parse_hex_color(hex_color, base = 1):
|
22 |
+
"""
|
23 |
+
This function is set to pass the color in (1.0,1.0, 1.0, 1.0) format.
|
24 |
+
Change base to 255 to get the color in (255, 255, 255, 255) format.
|
25 |
+
Parses a hex color string or tuple into RGBA components.
|
26 |
+
Parses color values specified in various formats and convert them into normalized RGBA components
|
27 |
+
suitable for use in color calculations, rendering, or manipulation.
|
28 |
+
|
29 |
+
Supports:
|
30 |
+
- #RRGGBBAA
|
31 |
+
- #RRGGBB (assumes full opacity)
|
32 |
+
- (r, g, b, a) tuple
|
33 |
+
"""
|
34 |
+
if isinstance(hex_color, tuple):
|
35 |
+
if len(hex_color) == 4:
|
36 |
+
r, g, b, a = hex_color
|
37 |
+
elif len(hex_color) == 3:
|
38 |
+
r, g, b = hex_color
|
39 |
+
a = 1.0 # Full opacity
|
40 |
+
else:
|
41 |
+
raise ValueError("Tuple must be in the format (r, g, b) or (r, g, b, a)")
|
42 |
+
return r / 255.0, g / 255.0, b / 255.0, a / 255.0 if a <= 1 else a
|
43 |
+
|
44 |
+
if hex_color.startswith("#"):
|
45 |
+
if len(hex_color) == 6:
|
46 |
+
r = int(hex_color[0:2], 16) / 255.0
|
47 |
+
g = int(hex_color[2:4], 16) / 255.0
|
48 |
+
b = int(hex_color[4:6], 16) / 255.0
|
49 |
+
a = 1.0 # Full opacity
|
50 |
+
elif len(hex_color) == 8:
|
51 |
+
r = int(hex_color[0:2], 16) / 255.0
|
52 |
+
g = int(hex_color[2:4], 16) / 255.0
|
53 |
+
b = int(hex_color[4:6], 16) / 255.0
|
54 |
+
a = int(hex_color[6:8], 16) / 255.0
|
55 |
+
else:
|
56 |
+
try:
|
57 |
+
r, g, b, a = ImageColor.getcolor(hex_color, "RGBA")
|
58 |
+
r = r / 255
|
59 |
+
g = g / 255
|
60 |
+
b = b / 255
|
61 |
+
a = a / 255
|
62 |
+
except:
|
63 |
+
raise ValueError("Hex color must be in the format RRGGBB, RRGGBBAA, ( r, g, b, a) or a common color name")
|
64 |
+
return multiply_and_clamp(r,base, max_value= base), multiply_and_clamp(g, base, max_value= base), multiply_and_clamp(b , base, max_value= base), multiply_and_clamp(a , base, max_value= base)
|
65 |
+
|
66 |
+
# Define a function to convert a hexadecimal color code to an RGB(A) tuple
|
67 |
+
def hex_to_rgb(hex):
|
68 |
+
if hex.startswith("#"):
|
69 |
+
clean_hex = hex.replace('#','')
|
70 |
+
# Use a generator expression to convert pairs of hexadecimal digits to integers and create a tuple
|
71 |
+
return tuple(int(clean_hex[i:i+2], 16) for i in range(0, len(clean_hex),2))
|
72 |
+
else:
|
73 |
+
return detect_color_format(hex)
|
74 |
+
|
75 |
+
def detect_color_format(color):
|
76 |
+
"""
|
77 |
+
Detects if the color is in RGB, RGBA, or hex format,
|
78 |
+
and converts it to an RGBA tuple with integer components.
|
79 |
+
|
80 |
+
Args:
|
81 |
+
color (str or tuple): The color to detect.
|
82 |
+
|
83 |
+
Returns:
|
84 |
+
tuple: The color in RGBA format as a tuple of 4 integers.
|
85 |
+
|
86 |
+
Raises:
|
87 |
+
ValueError: If the input color is not in a recognized format.
|
88 |
+
"""
|
89 |
+
# Handle color as a tuple of floats or integers
|
90 |
+
if isinstance(color, tuple):
|
91 |
+
if len(color) == 3 or len(color) == 4:
|
92 |
+
# Ensure all components are numbers
|
93 |
+
if all(isinstance(c, (int, float)) for c in color):
|
94 |
+
r, g, b = color[:3]
|
95 |
+
a = color[3] if len(color) == 4 else 255
|
96 |
+
return (
|
97 |
+
max(0, min(255, int(round(r)))),
|
98 |
+
max(0, min(255, int(round(g)))),
|
99 |
+
max(0, min(255, int(round(b)))),
|
100 |
+
max(0, min(255, int(round(a * 255)) if a <= 1 else round(a))),
|
101 |
+
)
|
102 |
+
else:
|
103 |
+
raise ValueError(f"Invalid color tuple length: {len(color)}")
|
104 |
+
# Handle hex color codes
|
105 |
+
if isinstance(color, str):
|
106 |
+
color = color.strip()
|
107 |
+
# Try to use PIL's ImageColor
|
108 |
+
try:
|
109 |
+
rgba = ImageColor.getcolor(color, "RGBA")
|
110 |
+
return rgba
|
111 |
+
except ValueError:
|
112 |
+
pass
|
113 |
+
# Handle 'rgba(r, g, b, a)' string format
|
114 |
+
rgba_match = re.match(r'rgba\(\s*([0-9.]+),\s*([0-9.]+),\s*([0-9.]+),\s*([0-9.]+)\s*\)', color)
|
115 |
+
if rgba_match:
|
116 |
+
r, g, b, a = map(float, rgba_match.groups())
|
117 |
+
return (
|
118 |
+
max(0, min(255, int(round(r)))),
|
119 |
+
max(0, min(255, int(round(g)))),
|
120 |
+
max(0, min(255, int(round(b)))),
|
121 |
+
max(0, min(255, int(round(a * 255)) if a <= 1 else round(a))),
|
122 |
+
)
|
123 |
+
# Handle 'rgb(r, g, b)' string format
|
124 |
+
rgb_match = re.match(r'rgb\(\s*([0-9.]+),\s*([0-9.]+),\s*([0-9.]+)\s*\)', color)
|
125 |
+
if rgb_match:
|
126 |
+
r, g, b = map(float, rgb_match.groups())
|
127 |
+
return (
|
128 |
+
max(0, min(255, int(round(r)))),
|
129 |
+
max(0, min(255, int(round(g)))),
|
130 |
+
max(0, min(255, int(round(b)))),
|
131 |
+
255,
|
132 |
+
)
|
133 |
+
|
134 |
+
# If none of the above conversions work, raise an error
|
135 |
+
raise ValueError(f"Invalid color format: {color}")
|
136 |
+
|
137 |
+
|
138 |
+
def update_color_opacity(color, opacity):
|
139 |
+
"""
|
140 |
+
Updates the opacity of a color value.
|
141 |
+
|
142 |
+
Parameters:
|
143 |
+
color (tuple): A color represented as an RGB or RGBA tuple.
|
144 |
+
opacity (int): An integer between 0 and 255 representing the desired opacity.
|
145 |
+
|
146 |
+
Returns:
|
147 |
+
tuple: The color as an RGBA tuple with the updated opacity.
|
148 |
+
"""
|
149 |
+
# Ensure opacity is within the valid range
|
150 |
+
opacity = max(0, min(255, int(opacity)))
|
151 |
+
|
152 |
+
if len(color) == 3:
|
153 |
+
# Color is RGB, add the opacity to make it RGBA
|
154 |
+
return color + (opacity,)
|
155 |
+
elif len(color) == 4:
|
156 |
+
# Color is RGBA, replace the alpha value with the new opacity
|
157 |
+
return color[:3] + (opacity,)
|
158 |
+
else:
|
159 |
+
raise ValueError(f"Invalid color format: {color}. Must be an RGB or RGBA tuple.")
|
160 |
+
|
161 |
+
def draw_text_with_emojis(image, text, font_color, offset_x, offset_y, font_name, font_size):
|
162 |
+
"""
|
163 |
+
Draws text with emojis directly onto the given PIL image at specified coordinates with the specified color.
|
164 |
+
Parameters:
|
165 |
+
image (PIL.Image.Image): The RGBA image to draw on.
|
166 |
+
text (str): The text to draw, including emojis.
|
167 |
+
font_color (tuple): RGBA color tuple for the text (e.g., (255, 0, 0, 255)).
|
168 |
+
offset_x (int): The x-coordinate for the text center position.
|
169 |
+
offset_y (int): The y-coordinate for the text center position.
|
170 |
+
font_name (str): The name of the font family.
|
171 |
+
font_size (int): Size of the font.
|
172 |
+
Returns:
|
173 |
+
None: The function modifies the image in place.
|
174 |
+
"""
|
175 |
+
if image.mode != 'RGBA':
|
176 |
+
raise ValueError("Image must be in RGBA mode.")
|
177 |
+
# Convert PIL image to a mutable bytearray
|
178 |
+
img_data = bytearray(image.tobytes("raw", "BGRA"))
|
179 |
+
# Create a Cairo ImageSurface that wraps the image's data
|
180 |
+
surface = cairo.ImageSurface.create_for_data(
|
181 |
+
img_data,
|
182 |
+
cairo.FORMAT_ARGB32,
|
183 |
+
image.width,
|
184 |
+
image.height,
|
185 |
+
image.width * 4
|
186 |
+
)
|
187 |
+
context = cairo.Context(surface)
|
188 |
+
# Create Pango layout
|
189 |
+
layout = pangocairocffi.create_layout(context)
|
190 |
+
layout._set_text(text)
|
191 |
+
# Set font description
|
192 |
+
desc = pangocffi.FontDescription()
|
193 |
+
desc._set_family(font_name)
|
194 |
+
desc._set_size(pangocffi.units_from_double(font_size))
|
195 |
+
layout._set_font_description(desc)
|
196 |
+
# Set text color
|
197 |
+
r, g, b, a = parse_hex_color(font_color)
|
198 |
+
context.set_source_rgba(r , g , b , a )
|
199 |
+
# Move to the position (top-left corner adjusted to center the text)
|
200 |
+
context.move_to(offset_x, offset_y)
|
201 |
+
# Render the text
|
202 |
+
pangocairocffi.show_layout(context, layout)
|
203 |
+
# Flush the surface to ensure all drawing operations are complete
|
204 |
+
surface.flush()
|
205 |
+
# Convert the modified bytearray back to a PIL Image
|
206 |
+
modified_image = Image.frombuffer(
|
207 |
+
"RGBA",
|
208 |
+
(image.width, image.height),
|
209 |
+
bytes(img_data),
|
210 |
+
"raw",
|
211 |
+
"BGRA", # Cairo stores data in BGRA order
|
212 |
+
surface.get_stride(),
|
213 |
+
).convert("RGBA")
|
214 |
+
return modified_image
|
modules/constants.py
ADDED
@@ -0,0 +1,359 @@
|
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|
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|
|
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|
|
|
|
|
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|
|
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|
|
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|
|
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|
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|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# modules/constants.py
|
2 |
+
# constants.py contains all the constants used in the project such as the default LUT example image, prompts, negative prompts, pre-rendered maps, models, LoRA weights, and more.
|
3 |
+
# execptions made for some environmental variables
|
4 |
+
import os
|
5 |
+
from pathlib import Path
|
6 |
+
from dotenv import load_dotenv
|
7 |
+
import numpy as np
|
8 |
+
|
9 |
+
#Set the environment variables
|
10 |
+
#os.environ["PYTORCH_CUDA_ALLOC_CONF"] = "max_split_size_mb:256,expandable_segments:True"
|
11 |
+
#os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
|
12 |
+
#os.environ["TF_CPP_MIN_LOG_LEVEL"] = '2'
|
13 |
+
#os.environ['CUDA_MODULE_LOADING']='LAZY'
|
14 |
+
#os.environ['USE_FLASH_ATTENTION'] = '1'
|
15 |
+
#os.environ['XFORMERS_FORCE_DISABLE_TRITON']= '1'
|
16 |
+
#os.environ['XFORMERS_FORCE_DISABLE_TORCHSCRIPT']= '1'
|
17 |
+
#os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
|
18 |
+
#os.environ["PYTORCH_NVML_BASED_CUDA_CHECK"] = "1"
|
19 |
+
#os.environ["CUDA_VISIBLE_DEVICES"] = "0"
|
20 |
+
#os.environ["NVIDIA_VISIBLE_DEVICES"] = "0"
|
21 |
+
#os.environ["ZEROGPU_VERSION"] = "2"
|
22 |
+
#os.environ["ZEROGPU_V2"] = "true"
|
23 |
+
#os.environ["ZERO_GPU_V2"] = "true"
|
24 |
+
#os.environ["ZERO_GPU_PATCH_TORCH_DEVICE"]='1'
|
25 |
+
|
26 |
+
IS_SHARED_SPACE = "Surn/HexGameMaker" in os.environ.get('SPACE_ID', '')
|
27 |
+
|
28 |
+
# Load environment variables from .env file
|
29 |
+
dotenv_path = Path(__file__).parent.parent / '.env'
|
30 |
+
load_dotenv(dotenv_path)
|
31 |
+
|
32 |
+
# Set the temporary folder location
|
33 |
+
#os.environ['TEMP'] = r'e:\\TMP'
|
34 |
+
#os.environ['TMPDIR'] = r'e:\\TMP'
|
35 |
+
#os.environ['XDG_CACHE_HOME'] = r'E:\\cache'
|
36 |
+
|
37 |
+
HF_API_TOKEN = os.getenv("HF_TOKEN")
|
38 |
+
if not HF_API_TOKEN:
|
39 |
+
raise ValueError("HF_TOKEN is not set. Please check your .env file.")
|
40 |
+
|
41 |
+
default_lut_example_img = "./LUT/daisy.jpg"
|
42 |
+
MAX_SEED = np.iinfo(np.int32).max
|
43 |
+
|
44 |
+
PROMPTS = {
|
45 |
+
"BorderBlack": "Top-down view of a hexagon-based alien map with black borders. Features rivers, mountains, volcanoes, and snow at top and bottom. Colors: light blue, green, tan, brown. No reflections or shadows. Partial hexes on edges are black.",
|
46 |
+
"Earth": "Top-down view of a hexagonal world map with rivers, mountains, volcanoes, and snow at top and bottom. Colors: light blue, green, tan, brown. No reflections or shadows. Partial edge hexes are black. Overhead view.",
|
47 |
+
"Map3": "Top-down view of a mystic forest map with lakes, dense forests, magical flora, and hex grids. Designed for tabletop gaming with clarity and strategic elements. Colors: light blue, green, purple, brown. Partial hexes on edges are black.",
|
48 |
+
"Map4": "Top-down view of a medieval battlefield map with lakes, forests, magical fauna, and hex grids. Emphasizes clarity and strategy for tabletop games. Colors: teal, dark green, violet, brown. Partial edge hexes are black. Viewed from above.",
|
49 |
+
"Alien Landscape": "Top-down view of a barren alien world map made from hexagon pieces. Features light blue rivers, brown mountains, red volcanoes, and white snow at top and bottom. Colors: light blue, green, tan, brown. Partial hexes on edges are black.",
|
50 |
+
"Alien World": "Top-down view of an alien world map built from hexagon pieces. Includes rivers, mountains, volcanoes, and snowy areas. Colors: light blue, green, tan, brown. Partial edge hexes are black. Overhead view.",
|
51 |
+
"Mystic Forest": "Top-down view of a mystic forest map with lakes, dense forests, magical flora, and hex grids. Designed for clarity in tabletop gaming. Colors: light blue, green, purple, brown. Partial hexes on edges are black.",
|
52 |
+
"Medieval Battlefield": "Top-down view of a medieval battlefield map featuring lakes, forests, and magic fauna. Emphasizes clarity and strategy for tabletop games. Colors: teal, dark green, violet, brown. Partial edge hexes are black. Viewed from above.",
|
53 |
+
"Prompt": None # Indicates that the prompt should be taken from prompt_textbox
|
54 |
+
}
|
55 |
+
|
56 |
+
NEGATIVE_PROMPTS = {
|
57 |
+
"BorderBlack": "humans, modern_buildings, vehicles, text, logos, reflections, shadows, realistic map of the Earth, isometric",
|
58 |
+
"Earth": "humans, modern_buildings, vehicles, text, logos, reflections, shadows, missing realistic map of the Earth, isometric",
|
59 |
+
"Map3": "humans, modern_buildings, vehicles, text, logos, reflections, shadows, realistic map of the Earth, isometric",
|
60 |
+
"Map4": "humans, modern_buildings, vehicles, text, logos, reflections, shadows, realistic map of the Earth, isometric",
|
61 |
+
"Alien Landscape": "humans, modern_buildings, vehicles, text, logos, reflections, shadows, realistic map of the Earth, isometric",
|
62 |
+
"Alien World": "Earth, humans, modern_buildings, vehicles, text, logos, reflections, shadows, realistic map of the Earth, isometric",
|
63 |
+
"Mystic Forest": "humans, modern_buildings, vehicles, text, logos, reflections, shadows, realistic map of the Earth, isometric",
|
64 |
+
"Medieval Battlefield": "humans, modern_buildings, vehicles, text, logos, reflections, shadows, realistic map of the Earth, isometric",
|
65 |
+
"Prompt": None # Indicates that the negative prompt should be taken from negative_prompt_textbox
|
66 |
+
}
|
67 |
+
|
68 |
+
# Directory containing the pre-rendered hexagon maps
|
69 |
+
ASSETS_DIR = "images/prerendered"
|
70 |
+
|
71 |
+
# List of pre-rendered hexagon map files
|
72 |
+
PRE_RENDERED_MAPS = [
|
73 |
+
"alien_orb_land_1.png",
|
74 |
+
"alien_prarie_1.png",
|
75 |
+
"alien_world_1.png",
|
76 |
+
"alien_world_2.png",
|
77 |
+
"alien_world_3.png",
|
78 |
+
"alien_world_4.png",
|
79 |
+
"alien_world_5.png",
|
80 |
+
"canyon_water_1.png",
|
81 |
+
"CONQ_Caustic_Valley.png",
|
82 |
+
"CONQ_Frozen_City.png",
|
83 |
+
"CONQ_Hellebore_Springs.png",
|
84 |
+
"CONQ_Terra_Therma.png",
|
85 |
+
"CONQ_Viridian_Bog.png",
|
86 |
+
"dark_dirt_elevations_1.png",
|
87 |
+
"elevated_peninsula_1.png",
|
88 |
+
"Firefly_alien_canyons_1.png",
|
89 |
+
"Firefly_alien_canyons_2.png",
|
90 |
+
"Firefly_alien_canyons_2.png",
|
91 |
+
"Firefly_alien_dry_canyons_1.png",
|
92 |
+
"Firefly_alien_dry_canyons_2.png",
|
93 |
+
"Firefly_alien_map_1.png",
|
94 |
+
"Firefly_hpg_terrain_1.png",
|
95 |
+
"Firefly_hpg_terrain_2.png",
|
96 |
+
"Firefly_river_dry_1.png",
|
97 |
+
"Firefly_river_running_1.png",
|
98 |
+
"Firefly_topographical_alien_desert_1.png",
|
99 |
+
"Firefly_topographical_canyon_1.png",
|
100 |
+
"Firefly_topographical_height_map_1.png",
|
101 |
+
"Firefly_topographical_height_map_2.png",
|
102 |
+
"Firefly_topographical_height_map_3.png",
|
103 |
+
"Firefly_topographical_height_map_5.png",
|
104 |
+
"Firefly_topographical_height_map_6.png",
|
105 |
+
"Firefly_topographical_marble_1.png",
|
106 |
+
"Firefly_topographical_moon_1.png",
|
107 |
+
"green_farming alien_world_1.png",
|
108 |
+
"green_farming alien_world_2.png",
|
109 |
+
"grey_barren_alien_world_1.png",
|
110 |
+
"grey_barren_alien_world_2.png",
|
111 |
+
"grey_barren_alien_world_3.png",
|
112 |
+
"grey_barren_alien_world_4.png",
|
113 |
+
"grey_barren_alien_world_5.png",
|
114 |
+
"grey_barren_alien_world_6.png",
|
115 |
+
"grey_barren_alien_world_7.png",
|
116 |
+
"grey_waterless_alien_world_map.png",
|
117 |
+
"grid_1.png",
|
118 |
+
"Hex_gen_map.PNG",
|
119 |
+
"hex_grass_dirty.png",
|
120 |
+
"hex_military_industrial alien_world_map.png",
|
121 |
+
"hex_mixed_elevations_battlefield_1.png",
|
122 |
+
"hex_mixed_elevations_battlefield_2.png",
|
123 |
+
"mixed_elevations_battlefield_3.png",
|
124 |
+
"n6W9Hc.png",
|
125 |
+
"oasis_mixed_elevations_1.png",
|
126 |
+
"pic526383.png",
|
127 |
+
"red_volcanic_alien_1.png",
|
128 |
+
"red_volcanic_alien_2.png",
|
129 |
+
"red_volcanic_alien_3.png",
|
130 |
+
"red_volcanic_alien_4.png",
|
131 |
+
"roadway_1.png",
|
132 |
+
"snowy_rolling_hills_1.png",
|
133 |
+
"volcanic alien_world_map.png",
|
134 |
+
"war-torn_post-apocalyptic_alien_world_map.png"
|
135 |
+
]
|
136 |
+
|
137 |
+
# Create full paths for pre-rendered maps
|
138 |
+
pre_rendered_maps_paths = [os.path.join(ASSETS_DIR, map_file).replace("\\", "/") for map_file in PRE_RENDERED_MAPS]
|
139 |
+
pre_rendered_maps_paths_api_file = [f"./gradio_api/file={map_path}" for map_path in pre_rendered_maps_paths]
|
140 |
+
|
141 |
+
# Generate a dictionary with cleaned-up names as keys and file paths as values
|
142 |
+
PRE_RENDERED_MAPS_JSON = {
|
143 |
+
os.path.splitext(file.replace("_", " ").replace("-", " ").replace(" ", " ").strip())[0]: os.path.join(ASSETS_DIR, file)
|
144 |
+
for file in PRE_RENDERED_MAPS
|
145 |
+
}
|
146 |
+
|
147 |
+
PRE_RENDERED_MAPS_JSON = "{'alien world 1': 'images/prerendered/alien_world_1.jpg', 'alien world 2': 'images/prerendered/alien_world_2.jpg', 'alien world 3': 'images/prerendered/alien_world_3.jpg', 'alien world 4': 'images/prerendered/alien_world_4.jpg', 'alien world 5': 'images/prerendered/alien_world_5.jpg', 'green farming alien world 1': 'images/prerendered/green_farming alien_world_1.jpg', 'green farming alien world 2': 'images/prerendered/green_farming alien_world_2.jpg', 'grey barren alien world 1': 'images/prerendered/grey_barren_alien_world_1.jpg', 'grey barren alien world 2': 'images/prerendered/grey_barren_alien_world_2.jpg', 'grey barren alien world 3': 'images/prerendered/grey_barren_alien_world_3.jpg', 'grey barren alien world 4': 'images/prerendered/grey_barren_alien_world_4.jpg', 'grey barren alien world 5': 'images/prerendered/grey_barren_alien_world_5.jpg', 'grey barren alien world 6': 'images/prerendered/grey_barren_alien_world_6.jpg', 'grey barren alien world 7': 'images/prerendered/grey_barren_alien_world_7.jpg', 'grey waterless alien world map': 'images/prerendered/grey_waterless_alien_world_map.jpg', 'Hex gen map': 'images/prerendered/Hex_gen_map.PNG', 'military industrial alien world map': 'images/prerendered/military_industrial alien_world_map.jpg', 'red volcanic alien 1': 'images/prerendered/red_volcanic_alien_1.jpg', 'red volcanic alien 2': 'images/prerendered/red_volcanic_alien_2.jpg', 'red volcanic alien 3': 'images/prerendered/red_volcanic_alien_3.jpg', 'red volcanic alien 4': 'images/prerendered/red_volcanic_alien_4.jpg', 'volcanic alien world map': 'images/prerendered/volcanic alien_world_map.jpg', 'war torn post apocalyptic alien world map': 'images/prerendered/war-torn_post-apocalyptic_alien_world_map.jpg'}"
|
148 |
+
# Available FLUX model names
|
149 |
+
MODELS = [
|
150 |
+
"black-forest-labs/FLUX.1-schnell",
|
151 |
+
"black-forest-labs/FLUX.1-dev",
|
152 |
+
"ostris/Flex.1-alpha"
|
153 |
+
]
|
154 |
+
# Available LoRA weights
|
155 |
+
LORA_WEIGHTS = [
|
156 |
+
"Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design",
|
157 |
+
"Borcherding/FLUX.1-dev-LoRA-FractalLand-v0.1",
|
158 |
+
"Cossale/Frames2-Flex.1",
|
159 |
+
"XLabs-AI/flux-lora-collection/anime_lora.safetensors",
|
160 |
+
"XLabs-AI/flux-lora-collection/scenery_lora.safetensors",
|
161 |
+
"XLabs-AI/flux-lora-collection/disney_lora.safetensors",
|
162 |
+
"XLabs-AI/flux-RealismLora"
|
163 |
+
]
|
164 |
+
|
165 |
+
# Map each LoRA weight to its corresponding model
|
166 |
+
LORA_TO_MODEL = {
|
167 |
+
"Yuanshi/OminiControl": "black-forest-labs/FLUX.1-schnell",
|
168 |
+
"Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design": "black-forest-labs/FLUX.1-dev",
|
169 |
+
"Borcherding/FLUX.1-dev-LoRA-FractalLand-v0.1": "black-forest-labs/FLUX.1-dev",
|
170 |
+
"Cossale/Frames2-Flex.1": "ostris/Flex.1-alpha",
|
171 |
+
"AlekseyCalvin/HSTcolorFlexAlpha": "ostris/Flex.1-alpha",
|
172 |
+
"XLabs-AI/flux-lora-collection/anime_lora.safetensors":"black-forest-labs/FLUX.1-dev",
|
173 |
+
"XLabs-AI/flux-lora-collection/scenery_lora.safetensors":"black-forest-labs/FLUX.1-dev",
|
174 |
+
"XLabs-AI/flux-lora-collection/disney_lora.safetensors":"black-forest-labs/FLUX.1-dev",
|
175 |
+
"XLabs-AI/flux-RealismLora":"black-forest-labs/FLUX.1-dev"
|
176 |
+
}
|
177 |
+
condition_type = ["depth", "canny", "subject", "coloring", "deblurring", "fill", "redux"]
|
178 |
+
# Detailed LoRA weight configurations
|
179 |
+
LORA_DETAILS = {
|
180 |
+
"AlekseyCalvin/HSTcolorFlexAlpha" : [
|
181 |
+
{
|
182 |
+
"trigger_words": "(6kStepsCkpt) HST style autochrome photograph",
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"weight_name": "HSToricColorFlex_6000steps_LoRAforFluxOrFlex_32dim64alpha.safetensors",
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"notes": "You should use (6kStepsCkpt) HST style autochrome photograph as trigger words."
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"parameters" :{
|
192 |
+
"num_inference_steps": "30"
|
193 |
+
}
|
194 |
+
}
|
195 |
+
],
|
196 |
+
"XLabs-AI/flux-lora-collection/anime_lora.safetensors":[
|
197 |
+
{
|
198 |
+
"lora_collection": "XLabs-AI/flux-lora-collection",
|
199 |
+
"weight_name": "anime_lora.safetensors"
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"trigger_words": "anime,",
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"notes": "You should use ',anime' as trigger words at the end. @6min"
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"parameters" :{
|
209 |
+
"num_inference_steps": "30"
|
210 |
+
}
|
211 |
+
}
|
212 |
+
],
|
213 |
+
"XLabs-AI/flux-lora-collection/scenery_lora.safetensors":[
|
214 |
+
{
|
215 |
+
"lora_collection": "XLabs-AI/flux-lora-collection",
|
216 |
+
"weight_name": "scenery_lora.safetensors"
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"trigger_words": "scenery style,",
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"notes": "You should use ',scenery style' as trigger words at the end. @6min"
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"parameters" :{
|
226 |
+
"num_inference_steps": "30"
|
227 |
+
}
|
228 |
+
}
|
229 |
+
],
|
230 |
+
"XLabs-AI/flux-lora-collection/disney_lora.safetensors":[
|
231 |
+
{
|
232 |
+
"lora_collection": "XLabs-AI/flux-lora-collection",
|
233 |
+
"weight_name": "disney_lora.safetensors"
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"trigger_words": "disney style,",
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"notes": "You should use ',disney style' as trigger words at the end. @12min "
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"parameters" :{
|
243 |
+
"num_inference_steps": "30"
|
244 |
+
}
|
245 |
+
}
|
246 |
+
],
|
247 |
+
"XLabs-AI/flux-RealismLora":[
|
248 |
+
{
|
249 |
+
"notes": "No trigger words but 8k, Animatrix illustration style, fantasy style, natural photo cinematic should all work @6min"
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"parameters" :{
|
253 |
+
"guidance_scale": "3.2",
|
254 |
+
"num_inference_steps": "34",
|
255 |
+
"scale": "0.85"
|
256 |
+
}
|
257 |
+
}
|
258 |
+
],
|
259 |
+
"Cossale/Frames2-Flex.1": [
|
260 |
+
{
|
261 |
+
"weight_name": "backdrops_v2.safetensors",
|
262 |
+
"adapter_name": "backdrops_v2"
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"trigger_words": "FRM$",
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"notes": "You should use FRM$ as trigger words. @1.5 minutes"
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"parameters" :{
|
272 |
+
"num_inference_steps": "50"
|
273 |
+
}
|
274 |
+
}
|
275 |
+
],
|
276 |
+
"Yuanshi/OminiControl": [
|
277 |
+
{
|
278 |
+
"weight_name": "omini/subject_512.safetensors",
|
279 |
+
"adapter_name": "subject_512"
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"weight_name": "omini/subject_1024_beta.safetensors",
|
283 |
+
"adapter_name": "subject_1024"
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"parameters" :{
|
287 |
+
"num_inference_steps": "8",
|
288 |
+
"guidance_scale": "0"
|
289 |
+
}
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"notes": "Select an Image as a guide."
|
293 |
+
}
|
294 |
+
],
|
295 |
+
"Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design": [
|
296 |
+
{
|
297 |
+
"notes": "You should use wablogo, logo, Minimalist as trigger words.. @4.8min"
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"trigger_words": "wablogo, logo, Minimalist ",
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"pipe" :{
|
304 |
+
"fuse_lora": {"lora_scale":0.8}
|
305 |
+
}
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"parameters" :{
|
309 |
+
"num_inference_steps": "38"
|
310 |
+
}
|
311 |
+
}
|
312 |
+
],
|
313 |
+
"Borcherding/FLUX.1-dev-LoRA-FractalLand-v0.1": [
|
314 |
+
{
|
315 |
+
"notes": "Use fractalLand at the start of the prompts to activate the fractal elements. . @4.8min"
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"trigger_words": "fractalLand ",
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"parameters" :{
|
322 |
+
"max_sequence_length": "512",
|
323 |
+
"guidance_scale": "3.5",
|
324 |
+
"num_inference_steps": "38"
|
325 |
+
}
|
326 |
+
}
|
327 |
+
]
|
328 |
+
}
|
329 |
+
# Read the contents of the LUT folder, output to a list
|
330 |
+
lut_folder = "./LUT"
|
331 |
+
lut_files = [os.path.join(lut_folder, f).replace("\\", "/") for f in os.listdir(lut_folder) if f.endswith(".cube")]
|
332 |
+
|
333 |
+
temp_files = []
|
334 |
+
|
335 |
+
|
336 |
+
cards = [
|
337 |
+
"2♥️", "3♥️", "4♥️", "5♥️", "6♥️", "7♥️", "8♥️", "9♥️", "10♥️", "J♥️", "Q♥️", "K♥️", "A♥️",
|
338 |
+
"2♦️", "3♦️", "4♦️", "5♦️", "6♦️", "7♦️", "8♦️", "9♦️", "10♦️", "J♦️", "Q♦️", "K♦️", "A♦️",
|
339 |
+
"2♣️", "3♣️", "4♣️", "5♣️", "6♣️", "7♣️", "8♣️", "9♣️", "10♣️", "J♣️", "Q♣️", "K♣️", "A♣️",
|
340 |
+
"2♠️", "3♠️", "4♠️", "5♠️", "6♠️", "7♠️", "8♠️", "9♠️", "10♠️", "J♠️", "Q♠️", "K♠️", "A♠️"
|
341 |
+
]
|
342 |
+
cards_alternating = [
|
343 |
+
"2♥️", "3♥️", "4♥️", "5♥️", "6♥️", "7♥️", "8♥️", "9♥️", "10♥️", "J♥️", "Q♥️", "K♥️", "A♥️",
|
344 |
+
"2♣️", "3♣️", "4♣️", "5♣️", "6♣️", "7♣️", "8♣️", "9♣️", "10♣️", "J♣️", "Q♣️", "K♣️", "A♣️",
|
345 |
+
"2♦️", "3♦️", "4♦️", "5♦️", "6♦️", "7♦️", "8♦️", "9♦️", "10♦️", "J♦️", "Q♦️", "K♦️", "A♦️",
|
346 |
+
"2♠️", "3♠️", "4♠️", "5♠️", "6♠️", "7♠️", "8♠️", "9♠️", "10♠️", "J♠️", "Q♠️", "K♠️", "A♠️"
|
347 |
+
]
|
348 |
+
card_colors = [
|
349 |
+
"#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", # Hearts
|
350 |
+
"#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", # Diamonds
|
351 |
+
"#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", # Clubs
|
352 |
+
"#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000" # Spades
|
353 |
+
]
|
354 |
+
card_colors_alternating = [
|
355 |
+
"#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", # Hearts
|
356 |
+
"#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", # Clubs
|
357 |
+
"#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", "#FF0000", # Diamonds
|
358 |
+
"#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000", "#000000" # Spades
|
359 |
+
]
|
modules/image_utils.py
ADDED
@@ -0,0 +1,687 @@
|
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|
1 |
+
# modules/image_utils.py
|
2 |
+
import os
|
3 |
+
from io import BytesIO
|
4 |
+
import cairosvg
|
5 |
+
import base64
|
6 |
+
import numpy as np
|
7 |
+
#from decimal import ROUND_CEILING
|
8 |
+
from PIL import Image, ImageChops, ImageDraw, ImageEnhance, ImageFilter, ImageDraw, ImageOps, ImageMath
|
9 |
+
from typing import List, Union
|
10 |
+
#import numpy as np
|
11 |
+
#import math
|
12 |
+
from pathlib import Path
|
13 |
+
from modules.constants import default_lut_example_img
|
14 |
+
from modules.color_utils import (
|
15 |
+
detect_color_format,
|
16 |
+
update_color_opacity
|
17 |
+
)
|
18 |
+
|
19 |
+
def open_image(image_path):
|
20 |
+
"""
|
21 |
+
Opens an image from a file path or URL, or decodes a DataURL string into an image.
|
22 |
+
Supports SVG and ICO by converting them to PNG.
|
23 |
+
|
24 |
+
Parameters:
|
25 |
+
image_path (str): The file path, URL, or DataURL string of the image to open.
|
26 |
+
|
27 |
+
Returns:
|
28 |
+
Image: A PIL Image object of the opened image.
|
29 |
+
|
30 |
+
Raises:
|
31 |
+
Exception: If there is an error opening the image.
|
32 |
+
"""
|
33 |
+
import requests
|
34 |
+
try:
|
35 |
+
# Strip leading and trailing double quotation marks, if present
|
36 |
+
image_path = image_path.strip('"')
|
37 |
+
if image_path.startswith('http'):
|
38 |
+
response = requests.get(image_path)
|
39 |
+
if image_path.lower().endswith('.svg'):
|
40 |
+
png_data = cairosvg.svg2png(bytestring=response.content)
|
41 |
+
img = Image.open(BytesIO(png_data))
|
42 |
+
elif image_path.lower().endswith('.ico'):
|
43 |
+
img = Image.open(BytesIO(response.content)).convert('RGBA')
|
44 |
+
else:
|
45 |
+
img = Image.open(BytesIO(response.content))
|
46 |
+
elif image_path.startswith('data'):
|
47 |
+
encoded_data = image_path.split(',')[1]
|
48 |
+
decoded_data = base64.b64decode(encoded_data)
|
49 |
+
if image_path.lower().endswith('.svg'):
|
50 |
+
png_data = cairosvg.svg2png(bytestring=decoded_data)
|
51 |
+
img = Image.open(BytesIO(png_data))
|
52 |
+
elif image_path.lower().endswith('.ico'):
|
53 |
+
img = Image.open(BytesIO(decoded_data)).convert('RGBA')
|
54 |
+
else:
|
55 |
+
img = Image.open(BytesIO(decoded_data))
|
56 |
+
else:
|
57 |
+
if image_path.lower().endswith('.svg'):
|
58 |
+
png_data = cairosvg.svg2png(url=image_path)
|
59 |
+
img = Image.open(BytesIO(png_data))
|
60 |
+
elif image_path.lower().endswith('.ico'):
|
61 |
+
img = Image.open(image_path).convert('RGBA')
|
62 |
+
else:
|
63 |
+
img = Image.open(image_path)
|
64 |
+
except Exception as e:
|
65 |
+
raise Exception(f'Error opening image: {e}')
|
66 |
+
return img
|
67 |
+
|
68 |
+
def build_prerendered_images(images_list):
|
69 |
+
"""
|
70 |
+
Opens a list of images from file paths, URLs, or DataURL strings.
|
71 |
+
|
72 |
+
Parameters:
|
73 |
+
images_list (list): A list of file paths, URLs, or DataURL strings of the images to open.
|
74 |
+
|
75 |
+
Returns:
|
76 |
+
list: A list of PIL Image objects of the opened images.
|
77 |
+
"""
|
78 |
+
return [open_image(image) for image in images_list]
|
79 |
+
|
80 |
+
def build_encoded_images(images_list):
|
81 |
+
"""
|
82 |
+
Encodes a list of images to base64 strings.
|
83 |
+
|
84 |
+
Parameters:
|
85 |
+
images_list (list): A list of file paths, URLs, DataURL strings, or PIL Image objects of the images to encode.
|
86 |
+
|
87 |
+
Returns:
|
88 |
+
list: A list of base64-encoded strings of the images.
|
89 |
+
"""
|
90 |
+
return [image_to_base64(image) for image in images_list]
|
91 |
+
|
92 |
+
def image_to_base64(image):
|
93 |
+
"""
|
94 |
+
Encodes an image to a base64 string.
|
95 |
+
Supports ICO files by converting them to PNG with RGBA channels.
|
96 |
+
|
97 |
+
Parameters:
|
98 |
+
image (str or PIL.Image.Image): The file path, URL, DataURL string, or PIL Image object of the image to encode.
|
99 |
+
|
100 |
+
Returns:
|
101 |
+
str: A base64-encoded string of the image.
|
102 |
+
"""
|
103 |
+
buffered = BytesIO()
|
104 |
+
if isinstance(image, str):
|
105 |
+
image = open_image(image)
|
106 |
+
image.save(buffered, format="PNG")
|
107 |
+
return "data:image/png;base64," + base64.b64encode(buffered.getvalue()).decode()
|
108 |
+
|
109 |
+
def change_color(image, color, opacity=0.75):
|
110 |
+
"""
|
111 |
+
Changes the color of an image by overlaying it with a specified color and opacity.
|
112 |
+
|
113 |
+
Parameters:
|
114 |
+
image (str or PIL.Image.Image): The file path, URL, DataURL string, or PIL Image object of the image to change.
|
115 |
+
color (str or tuple): The color to overlay on the image.
|
116 |
+
opacity (float): The opacity of the overlay color (0.0 to 1.0).
|
117 |
+
|
118 |
+
Returns:
|
119 |
+
PIL.Image.Image: The image with the color changed.
|
120 |
+
"""
|
121 |
+
if type(image) is str:
|
122 |
+
image = open_image(image)
|
123 |
+
try:
|
124 |
+
# Convert the color to RGBA format
|
125 |
+
rgba_color = detect_color_format(color)
|
126 |
+
rgba_color = update_color_opacity(rgba_color, opacity)
|
127 |
+
|
128 |
+
# Convert the image to RGBA mode
|
129 |
+
image = image.convert("RGBA")
|
130 |
+
|
131 |
+
# Create a new image with the same size and mode
|
132 |
+
new_image = Image.new("RGBA", image.size, rgba_color)
|
133 |
+
|
134 |
+
# Composite the new image with the original image
|
135 |
+
result = Image.alpha_composite(image, new_image)
|
136 |
+
except Exception as e:
|
137 |
+
print(f"Error changing color: {e}")
|
138 |
+
return image
|
139 |
+
return result
|
140 |
+
|
141 |
+
def convert_str_to_int_or_zero(value):
|
142 |
+
"""
|
143 |
+
Converts a string to an integer, or returns zero if the conversion fails.
|
144 |
+
|
145 |
+
Parameters:
|
146 |
+
value (str): The string to convert.
|
147 |
+
|
148 |
+
Returns:
|
149 |
+
int: The converted integer, or zero if the conversion fails.
|
150 |
+
"""
|
151 |
+
try:
|
152 |
+
return int(value)
|
153 |
+
except ValueError:
|
154 |
+
return 0
|
155 |
+
|
156 |
+
def upscale_image(image, scale_factor):
|
157 |
+
"""
|
158 |
+
Upscales an image by a given scale factor using the LANCZOS filter.
|
159 |
+
|
160 |
+
Parameters:
|
161 |
+
image (PIL.Image.Image): The input image to be upscaled.
|
162 |
+
scale_factor (float): The factor by which to upscale the image.
|
163 |
+
|
164 |
+
Returns:
|
165 |
+
PIL.Image.Image: The upscaled image.
|
166 |
+
"""
|
167 |
+
# Calculate the new size
|
168 |
+
new_width = int(image.width * scale_factor)
|
169 |
+
new_height = int(image.height * scale_factor)
|
170 |
+
|
171 |
+
# Upscale the image using the LANCZOS filter
|
172 |
+
upscaled_image = image.resize((new_width, new_height), Image.LANCZOS)
|
173 |
+
|
174 |
+
return upscaled_image
|
175 |
+
|
176 |
+
def crop_and_resize_image(image, width, height):
|
177 |
+
"""
|
178 |
+
Crops the image to a centered square and resizes it to the specified width and height.
|
179 |
+
|
180 |
+
Parameters:
|
181 |
+
image (PIL.Image.Image): The input image to be cropped and resized.
|
182 |
+
width (int): The desired width of the output image.
|
183 |
+
height (int): The desired height of the output image.
|
184 |
+
|
185 |
+
Returns:
|
186 |
+
PIL.Image.Image: The cropped and resized image.
|
187 |
+
"""
|
188 |
+
# Get original dimensions
|
189 |
+
original_width, original_height = image.size
|
190 |
+
|
191 |
+
# Determine the smaller dimension to make a square crop
|
192 |
+
min_dim = min(original_width, original_height)
|
193 |
+
|
194 |
+
# Calculate coordinates for cropping to a centered square
|
195 |
+
left = (original_width - min_dim) // 2
|
196 |
+
top = (original_height - min_dim) // 2
|
197 |
+
right = left + min_dim
|
198 |
+
bottom = top + min_dim
|
199 |
+
|
200 |
+
# Crop the image
|
201 |
+
cropped_image = image.crop((left, top, right, bottom))
|
202 |
+
|
203 |
+
# Resize the image to the desired dimensions
|
204 |
+
resized_image = cropped_image.resize((width, height), Image.LANCZOS)
|
205 |
+
|
206 |
+
return resized_image
|
207 |
+
|
208 |
+
def resize_image_with_aspect_ratio(image, target_width, target_height):
|
209 |
+
"""
|
210 |
+
Resizes the image to fit within the target dimensions while maintaining aspect ratio.
|
211 |
+
If the aspect ratio does not match, the image will be padded with black pixels.
|
212 |
+
|
213 |
+
Parameters:
|
214 |
+
image (PIL.Image.Image): The input image to be resized.
|
215 |
+
target_width (int): The target width.
|
216 |
+
target_height (int): The target height.
|
217 |
+
|
218 |
+
Returns:
|
219 |
+
PIL.Image.Image: The resized image.
|
220 |
+
"""
|
221 |
+
# Calculate aspect ratios
|
222 |
+
original_width, original_height = image.size
|
223 |
+
target_aspect = target_width / target_height
|
224 |
+
original_aspect = original_width / original_height
|
225 |
+
|
226 |
+
# Decide whether to fit width or height
|
227 |
+
if original_aspect > target_aspect:
|
228 |
+
# Image is wider than target aspect ratio
|
229 |
+
new_width = target_width
|
230 |
+
new_height = int(target_width / original_aspect)
|
231 |
+
else:
|
232 |
+
# Image is taller than target aspect ratio
|
233 |
+
new_height = target_height
|
234 |
+
new_width = int(target_height * original_aspect)
|
235 |
+
|
236 |
+
# Resize the image
|
237 |
+
resized_image = image.resize((new_width, new_height), Image.LANCZOS)
|
238 |
+
|
239 |
+
# Create a new image with target dimensions and black background
|
240 |
+
new_image = Image.new("RGB", (target_width, target_height), (0, 0, 0))
|
241 |
+
# Paste the resized image onto the center of the new image
|
242 |
+
paste_x = (target_width - new_width) // 2
|
243 |
+
paste_y = (target_height - new_height) // 2
|
244 |
+
new_image.paste(resized_image, (paste_x, paste_y))
|
245 |
+
|
246 |
+
return new_image
|
247 |
+
|
248 |
+
def lerp_imagemath(img1, img2, alpha_percent: int = 50):
|
249 |
+
"""
|
250 |
+
Performs linear interpolation (LERP) between two images based on the given alpha value.
|
251 |
+
|
252 |
+
Parameters:
|
253 |
+
img1 (str or PIL.Image.Image): The first image or its file path.
|
254 |
+
img2 (str or PIL.Image.Image): The second image or its file path.
|
255 |
+
alpha (int): The interpolation factor (0 to 100).
|
256 |
+
|
257 |
+
Returns:
|
258 |
+
PIL.Image.Image: The interpolated image.
|
259 |
+
"""
|
260 |
+
if isinstance(img1, str):
|
261 |
+
img1 = open_image(img1)
|
262 |
+
if isinstance(img2, str):
|
263 |
+
img2 = open_image(img2)
|
264 |
+
|
265 |
+
# Ensure both images are in the same mode (e.g., RGBA)
|
266 |
+
img1 = img1.convert('RGBA')
|
267 |
+
img2 = img2.convert('RGBA')
|
268 |
+
|
269 |
+
# Convert images to NumPy arrays
|
270 |
+
arr1 = np.array(img1, dtype=np.float32)
|
271 |
+
arr2 = np.array(img2, dtype=np.float32)
|
272 |
+
|
273 |
+
# Perform linear interpolation
|
274 |
+
alpha = alpha_percent / 100.0
|
275 |
+
result_arr = (arr1 * (1 - alpha)) + (arr2 * alpha)
|
276 |
+
|
277 |
+
# Convert the result back to a PIL image
|
278 |
+
result_img = Image.fromarray(np.uint8(result_arr))
|
279 |
+
|
280 |
+
#result_img.show()
|
281 |
+
return result_img
|
282 |
+
|
283 |
+
def shrink_and_paste_on_blank(current_image, mask_width, mask_height, blank_color:tuple[int, int, int, int] = (0,0,0,0)):
|
284 |
+
"""
|
285 |
+
Decreases size of current_image by mask_width pixels from each side,
|
286 |
+
then adds a mask_width width transparent frame,
|
287 |
+
so that the image the function returns is the same size as the input.
|
288 |
+
|
289 |
+
Parameters:
|
290 |
+
current_image (PIL.Image.Image): The input image to transform.
|
291 |
+
mask_width (int): Width in pixels to shrink from each side.
|
292 |
+
mask_height (int): Height in pixels to shrink from each side.
|
293 |
+
blank_color (tuple): The color of the blank frame (default is transparent).
|
294 |
+
|
295 |
+
Returns:
|
296 |
+
PIL.Image.Image: The transformed image.
|
297 |
+
"""
|
298 |
+
# calculate new dimensions
|
299 |
+
width, height = current_image.size
|
300 |
+
new_width = width - (2 * mask_width)
|
301 |
+
new_height = height - (2 * mask_height)
|
302 |
+
|
303 |
+
# resize and paste onto blank image
|
304 |
+
prev_image = current_image.resize((new_width, new_height))
|
305 |
+
blank_image = Image.new("RGBA", (width, height), blank_color)
|
306 |
+
blank_image.paste(prev_image, (mask_width, mask_height))
|
307 |
+
|
308 |
+
return blank_image
|
309 |
+
|
310 |
+
def multiply_and_blend_images(base_image, image2, alpha_percent=50):
|
311 |
+
"""
|
312 |
+
Multiplies two images and blends the result with the original image.
|
313 |
+
|
314 |
+
Parameters:
|
315 |
+
image1 (PIL.Image.Image): The first input image.
|
316 |
+
image2 (PIL.Image.Image): The second input image.
|
317 |
+
alpha (float): The blend factor (0.0 to 100.0) for blending the multiplied result with the original image.
|
318 |
+
|
319 |
+
Returns:
|
320 |
+
PIL.Image.Image: The blended image.
|
321 |
+
"""
|
322 |
+
alpha = alpha_percent / 100.0
|
323 |
+
if isinstance(base_image, str):
|
324 |
+
base_image = open_image(base_image)
|
325 |
+
if isinstance(image2, str):
|
326 |
+
image2 = open_image(image2)
|
327 |
+
# Ensure both images are in the same mode and size
|
328 |
+
base_image = base_image.convert('RGBA')
|
329 |
+
image2 = image2.convert('RGBA')
|
330 |
+
image2 = image2.resize(base_image.size)
|
331 |
+
|
332 |
+
# Multiply the images
|
333 |
+
multiplied_image = ImageChops.multiply(base_image, image2)
|
334 |
+
|
335 |
+
# Blend the multiplied result with the original
|
336 |
+
blended_image = Image.blend(base_image, multiplied_image, alpha)
|
337 |
+
|
338 |
+
return blended_image
|
339 |
+
|
340 |
+
def alpha_composite_with_control(base_image, image_with_alpha, alpha_percent=100):
|
341 |
+
"""
|
342 |
+
Overlays image_with_alpha onto base_image with controlled alpha transparency.
|
343 |
+
|
344 |
+
Parameters:
|
345 |
+
base_image (PIL.Image.Image): The base image.
|
346 |
+
image_with_alpha (PIL.Image.Image): The image to overlay with an alpha channel.
|
347 |
+
alpha_percent (float): The multiplier for the alpha channel (0.0 to 100.0).
|
348 |
+
|
349 |
+
Returns:
|
350 |
+
PIL.Image.Image: The resulting image after alpha compositing.
|
351 |
+
"""
|
352 |
+
alpha_multiplier = alpha_percent / 100.0
|
353 |
+
if isinstance(base_image, str):
|
354 |
+
base_image = open_image(base_image)
|
355 |
+
if isinstance(image_with_alpha, str):
|
356 |
+
image_with_alpha = open_image(image_with_alpha)
|
357 |
+
|
358 |
+
# Ensure both images are in RGBA mode
|
359 |
+
base_image = base_image.convert('RGBA')
|
360 |
+
image_with_alpha = image_with_alpha.convert('RGBA')
|
361 |
+
|
362 |
+
# Extract the alpha channel and multiply by alpha_multiplier
|
363 |
+
alpha_channel = image_with_alpha.split()[3]
|
364 |
+
alpha_channel = alpha_channel.point(lambda p: p * alpha_multiplier)
|
365 |
+
|
366 |
+
# Apply the modified alpha channel back to the image
|
367 |
+
image_with_alpha.putalpha(alpha_channel)
|
368 |
+
|
369 |
+
# Composite the images
|
370 |
+
result = Image.alpha_composite(base_image, image_with_alpha)
|
371 |
+
|
372 |
+
return result
|
373 |
+
|
374 |
+
def apply_alpha_mask(image, mask_image, invert = False):
|
375 |
+
"""
|
376 |
+
Applies a mask image as the alpha channel of the input image.
|
377 |
+
|
378 |
+
Parameters:
|
379 |
+
image (PIL.Image.Image): The image to apply the mask to.
|
380 |
+
mask_image (PIL.Image.Image): The alpha mask to apply.
|
381 |
+
invert (bool): Whether to invert the mask (default is False).
|
382 |
+
|
383 |
+
Returns:
|
384 |
+
PIL.Image.Image: The image with the applied alpha mask.
|
385 |
+
"""
|
386 |
+
# Resize the mask to match the current image size
|
387 |
+
mask_image = resize_and_crop_image(mask_image, image.width, image.height).convert('L') # convert to grayscale
|
388 |
+
if invert:
|
389 |
+
mask_image = ImageOps.invert(mask_image)
|
390 |
+
# Apply the mask as the alpha layer of the current image
|
391 |
+
result_image = image.copy()
|
392 |
+
result_image.putalpha(mask_image)
|
393 |
+
return result_image
|
394 |
+
|
395 |
+
def resize_and_crop_image(image: Image, new_width: int = 512, new_height: int = 512) -> Image:
|
396 |
+
"""
|
397 |
+
Resizes and crops an image to a specified width and height. This ensures that the entire new_width and new_height
|
398 |
+
dimensions are filled by the image, and the aspect ratio is maintained.
|
399 |
+
|
400 |
+
Parameters:
|
401 |
+
image (PIL.Image.Image): The image to be resized and cropped.
|
402 |
+
new_width (int): The desired width of the new image (default is 512).
|
403 |
+
new_height (int): The desired height of the new image (default is 512).
|
404 |
+
|
405 |
+
Returns:
|
406 |
+
PIL.Image.Image: The resized and cropped image.
|
407 |
+
"""
|
408 |
+
# Get the dimensions of the original image
|
409 |
+
orig_width, orig_height = image.size
|
410 |
+
# Calculate the aspect ratios of the original and new images
|
411 |
+
orig_aspect_ratio = orig_width / float(orig_height)
|
412 |
+
new_aspect_ratio = new_width / float(new_height)
|
413 |
+
# Calculate the new size of the image while maintaining aspect ratio
|
414 |
+
if orig_aspect_ratio > new_aspect_ratio:
|
415 |
+
# The original image is wider than the new image, so we need to crop the sides
|
416 |
+
resized_width = int(new_height * orig_aspect_ratio)
|
417 |
+
resized_height = new_height
|
418 |
+
left_offset = (resized_width - new_width) // 2
|
419 |
+
top_offset = 0
|
420 |
+
else:
|
421 |
+
# The original image is taller than the new image, so we need to crop the top and bottom
|
422 |
+
resized_width = new_width
|
423 |
+
resized_height = int(new_width / orig_aspect_ratio)
|
424 |
+
left_offset = 0
|
425 |
+
top_offset = (resized_height - new_height) // 2
|
426 |
+
# Resize the image with Lanczos resampling filter
|
427 |
+
resized_image = image.resize((resized_width, resized_height), resample=Image.Resampling.LANCZOS)
|
428 |
+
# Crop the image to fill the entire height and width of the new image
|
429 |
+
cropped_image = resized_image.crop((left_offset, top_offset, left_offset + new_width, top_offset + new_height))
|
430 |
+
return cropped_image
|
431 |
+
|
432 |
+
##################################################### LUTs ############################################################
|
433 |
+
|
434 |
+
def is_3dlut_row(row: List[str]) -> bool:
|
435 |
+
"""
|
436 |
+
Check if one line in the file has exactly 3 numeric values.
|
437 |
+
|
438 |
+
Parameters:
|
439 |
+
row (list): A list of strings representing the values in a row.
|
440 |
+
|
441 |
+
Returns:
|
442 |
+
bool: True if the row has exactly 3 numeric values, False otherwise.
|
443 |
+
"""
|
444 |
+
try:
|
445 |
+
row_values = [float(val) for val in row]
|
446 |
+
return len(row_values) == 3
|
447 |
+
except ValueError:
|
448 |
+
return False
|
449 |
+
|
450 |
+
|
451 |
+
def read_lut(path_lut: Union[str, os.PathLike], num_channels: int = 3) -> ImageFilter.Color3DLUT:
|
452 |
+
"""
|
453 |
+
Read LUT from a raw file.
|
454 |
+
|
455 |
+
Each line in the file is considered part of the LUT table. The function
|
456 |
+
reads the file, parses the rows, and constructs a Color3DLUT object.
|
457 |
+
|
458 |
+
Args:
|
459 |
+
path_lut: A string or os.PathLike object representing the path to the LUT file.
|
460 |
+
num_channels: An integer specifying the number of color channels in the LUT (default is 3).
|
461 |
+
|
462 |
+
Returns:
|
463 |
+
An instance of ImageFilter.Color3DLUT representing the LUT.
|
464 |
+
|
465 |
+
Raises:
|
466 |
+
FileNotFoundError: If the LUT file specified by path_lut does not exist.
|
467 |
+
"""
|
468 |
+
with open(path_lut) as f:
|
469 |
+
lut_raw = f.read().splitlines()
|
470 |
+
size = round(len(lut_raw) ** (1 / 3))
|
471 |
+
row2val = lambda row: tuple([float(val) for val in row.split(" ")])
|
472 |
+
lut_table = [row2val(row) for row in lut_raw if is_3dlut_row(row.split(" "))]
|
473 |
+
return ImageFilter.Color3DLUT(size, lut_table, num_channels)
|
474 |
+
|
475 |
+
def apply_lut(img: Image, lut_path: str = "", lut: ImageFilter.Color3DLUT = None) -> Image:
|
476 |
+
"""
|
477 |
+
Apply a LUT to an image and return a PIL Image with the LUT applied.
|
478 |
+
|
479 |
+
The function applies the LUT to the input image using the filter() method of the PIL Image class.
|
480 |
+
|
481 |
+
Args:
|
482 |
+
img: A PIL Image object to which the LUT should be applied.
|
483 |
+
lut_path: A string representing the path to the LUT file (optional if lut argument is provided).
|
484 |
+
lut: An instance of ImageFilter.Color3DLUT representing the LUT (optional if lut_path is provided).
|
485 |
+
|
486 |
+
Returns:
|
487 |
+
A PIL Image object with the LUT applied.
|
488 |
+
|
489 |
+
Raises:
|
490 |
+
ValueError: If both lut_path and lut arguments are not provided.
|
491 |
+
"""
|
492 |
+
if lut is None:
|
493 |
+
if lut_path == "":
|
494 |
+
raise ValueError("Either lut_path or lut argument must be provided.")
|
495 |
+
lut = read_lut(lut_path)
|
496 |
+
return img.filter(lut)
|
497 |
+
|
498 |
+
def show_lut(lut_filename: str, lut_example_image: Image = default_lut_example_img) -> Image:
|
499 |
+
if lut_filename is not None:
|
500 |
+
try:
|
501 |
+
lut_example_image = apply_lut(lut_example_image, lut_filename)
|
502 |
+
except Exception as e:
|
503 |
+
print(f"BAD LUT: Error applying LUT {str(e)}.")
|
504 |
+
else:
|
505 |
+
lut_example_image = open_image(default_lut_example_img)
|
506 |
+
return lut_example_image
|
507 |
+
|
508 |
+
|
509 |
+
|
510 |
+
def convert_rgb_to_rgba_safe(image: Image) -> Image:
|
511 |
+
"""
|
512 |
+
Converts an RGB image to RGBA by adding an alpha channel.
|
513 |
+
Ensures that the original image remains unaltered.
|
514 |
+
|
515 |
+
Parameters:
|
516 |
+
image (PIL.Image.Image): The RGB image to convert.
|
517 |
+
|
518 |
+
Returns:
|
519 |
+
PIL.Image.Image: The converted RGBA image.
|
520 |
+
"""
|
521 |
+
if image.mode != 'RGB':
|
522 |
+
if image.mode == 'RGBA':
|
523 |
+
return image
|
524 |
+
elif image.mode == 'P':
|
525 |
+
# Convert palette image to RGBA
|
526 |
+
image = image.convert('RGB')
|
527 |
+
else:
|
528 |
+
raise ValueError("Unsupported image mode for conversion to RGBA.")
|
529 |
+
# Create a copy of the image to avoid modifying the original
|
530 |
+
rgba_image = image.copy()
|
531 |
+
# Optionally, set a default alpha value (e.g., fully opaque)
|
532 |
+
alpha = Image.new('L', rgba_image.size, 255) # 255 for full opacity
|
533 |
+
rgba_image.putalpha(alpha)
|
534 |
+
return rgba_image
|
535 |
+
|
536 |
+
def apply_lut_to_image_path(lut_filename: str, image_path: str) -> tuple[Image, str]:
|
537 |
+
"""
|
538 |
+
Apply a LUT to an image and return the result.
|
539 |
+
Supports ICO files by converting them to PNG with RGBA channels.
|
540 |
+
|
541 |
+
Args:
|
542 |
+
lut_filename: A string representing the path to the LUT file.
|
543 |
+
image_path: A string representing the path to the input image.
|
544 |
+
|
545 |
+
Returns:
|
546 |
+
tuple: A tuple containing the PIL Image object with the LUT applied and the new image path as a string.
|
547 |
+
"""
|
548 |
+
if image_path is None:
|
549 |
+
raise UserWarning("No image provided.")
|
550 |
+
return None, None
|
551 |
+
path = Path(image_path)
|
552 |
+
img = open_image(image_path)
|
553 |
+
if not ((path.suffix.lower() == '.png' and img.mode == 'RGBA')):
|
554 |
+
if image_path.lower().endswith(('.jpg', '.jpeg')):
|
555 |
+
img, new_image_path = convert_jpg_to_rgba(path)
|
556 |
+
elif image_path.lower().endswith('.ico'):
|
557 |
+
img, new_image_path = convert_to_rgba_png(image_path)
|
558 |
+
elif image_path.lower().endswith(('.gif', '.webp')):
|
559 |
+
img, new_image_path = convert_to_rgba_png(image_path)
|
560 |
+
else:
|
561 |
+
img, new_image_path = convert_to_rgba_png(image_path)
|
562 |
+
delete_image(image_path)
|
563 |
+
else:
|
564 |
+
new_image_path = image_path
|
565 |
+
if lut_filename is not None:
|
566 |
+
try:
|
567 |
+
img = apply_lut(img, lut_filename)
|
568 |
+
except Exception as e:
|
569 |
+
print(f"BAD LUT: Error applying LUT {str(e)}.")
|
570 |
+
img.save(new_image_path, format='PNG')
|
571 |
+
return img, str(new_image_path)
|
572 |
+
|
573 |
+
############################################# RGBA ###########################################################
|
574 |
+
|
575 |
+
# Example usage
|
576 |
+
# convert_jpg_to_rgba('input.jpg', 'output.png')
|
577 |
+
def convert_jpg_to_rgba(input_path) -> tuple[Image, str]:
|
578 |
+
"""
|
579 |
+
Convert a JPG image to RGBA format and save it as a PNG.
|
580 |
+
|
581 |
+
Args:
|
582 |
+
input_path (str or Path): Path to the input JPG image file.
|
583 |
+
|
584 |
+
Raises:
|
585 |
+
FileNotFoundError: If the input file does not exist.
|
586 |
+
ValueError: If the input file is not a JPG.
|
587 |
+
OSError: If there's an error reading or writing the file.
|
588 |
+
|
589 |
+
Returns:
|
590 |
+
tuple: A tuple containing the RGBA image and the output path as a string.
|
591 |
+
"""
|
592 |
+
try:
|
593 |
+
# Convert input_path to Path object if it's a string
|
594 |
+
input_path = Path(input_path)
|
595 |
+
output_path = input_path.with_suffix('.png')
|
596 |
+
|
597 |
+
# Check if the input file exists
|
598 |
+
if not input_path.exists():
|
599 |
+
raise FileNotFoundError(f"The file {input_path} does not exist.")
|
600 |
+
|
601 |
+
# Check file extension first to skip unnecessary processing
|
602 |
+
if input_path.suffix.lower() not in ('.jpg', '.jpeg'):
|
603 |
+
print(f"Skipping conversion: {input_path} is not a JPG or JPEG file.")
|
604 |
+
return None, str(output_path)
|
605 |
+
|
606 |
+
print(f"Converting to PNG: {input_path} is a JPG or JPEG file.")
|
607 |
+
|
608 |
+
# Open the image file
|
609 |
+
with Image.open(input_path) as img:
|
610 |
+
# Convert the image to RGBA mode
|
611 |
+
rgba_img = img.convert('RGBA')
|
612 |
+
|
613 |
+
# Ensure the directory exists for the output file
|
614 |
+
output_path.parent.mkdir(parents=True, exist_ok=True)
|
615 |
+
|
616 |
+
# Save the image with RGBA mode as PNG
|
617 |
+
rgba_img.save(output_path)
|
618 |
+
|
619 |
+
except FileNotFoundError as e:
|
620 |
+
print(f"Error: {e}")
|
621 |
+
except ValueError as e:
|
622 |
+
print(f"Error: {e}")
|
623 |
+
except OSError as e:
|
624 |
+
print(f"Error: An OS error occurred while processing the image - {e}")
|
625 |
+
except Exception as e:
|
626 |
+
print(f"An unexpected error occurred: {e}")
|
627 |
+
return rgba_img, str(output_path)
|
628 |
+
|
629 |
+
|
630 |
+
def convert_to_rgba_png(file_path: str) -> tuple[Image, str]:
|
631 |
+
"""
|
632 |
+
Converts an image to RGBA PNG format and saves it with the same base name and a .png extension.
|
633 |
+
Supports ICO files.
|
634 |
+
|
635 |
+
Args:
|
636 |
+
file_path (str): The path to the input image file.
|
637 |
+
|
638 |
+
Returns:
|
639 |
+
tuple: A tuple containing the RGBA image and the new file path as a string.
|
640 |
+
"""
|
641 |
+
new_file_path = None
|
642 |
+
rgba_img = None
|
643 |
+
img = None
|
644 |
+
if file_path is None:
|
645 |
+
raise UserWarning("No image provided.")
|
646 |
+
return None, None
|
647 |
+
try:
|
648 |
+
img = open_image(file_path)
|
649 |
+
print(f"Opened image: {file_path}\n")
|
650 |
+
# Handle ICO files
|
651 |
+
if file_path.lower().endswith('.ico'):
|
652 |
+
rgba_img = img.convert('RGBA')
|
653 |
+
new_file_path = Path(file_path).with_suffix('.png')
|
654 |
+
rgba_img.save(new_file_path, format='PNG')
|
655 |
+
print(f"Converted ICO to PNG: {new_file_path}")
|
656 |
+
else:
|
657 |
+
rgba_img, new_file_path = convert_jpg_to_rgba(file_path)
|
658 |
+
if rgba_img is None:
|
659 |
+
rgba_img = convert_rgb_to_rgba_safe(img)
|
660 |
+
new_file_path = Path(file_path).with_suffix('.png')
|
661 |
+
rgba_img.save(new_file_path, format='PNG')
|
662 |
+
print(f"Image saved as {new_file_path}")
|
663 |
+
except ValueError as ve:
|
664 |
+
print(f"ValueError: {ve}")
|
665 |
+
except Exception as e:
|
666 |
+
print(f"Error converting image: {e}")
|
667 |
+
return rgba_img if rgba_img else img, str(new_file_path)
|
668 |
+
|
669 |
+
def delete_image(file_path: str) -> None:
|
670 |
+
"""
|
671 |
+
Deletes the specified image file.
|
672 |
+
|
673 |
+
Parameters:
|
674 |
+
file_path (str): The path to the image file to delete.
|
675 |
+
|
676 |
+
Raises:
|
677 |
+
FileNotFoundError: If the file does not exist.
|
678 |
+
Exception: If there is an error deleting the file.
|
679 |
+
"""
|
680 |
+
try:
|
681 |
+
path = Path(file_path)
|
682 |
+
path.unlink()
|
683 |
+
print(f"Deleted original image: {file_path}")
|
684 |
+
except FileNotFoundError:
|
685 |
+
print(f"File not found: {file_path}")
|
686 |
+
except Exception as e:
|
687 |
+
print(f"Error deleting image: {e}")
|
modules/version_info.py
ADDED
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# modules/version_info.py
|
2 |
+
|
3 |
+
import subprocess
|
4 |
+
import os
|
5 |
+
import sys
|
6 |
+
import gc
|
7 |
+
import gradio as gr
|
8 |
+
|
9 |
+
git = os.environ.get('GIT', "git")
|
10 |
+
|
11 |
+
def commit_hash():
|
12 |
+
try:
|
13 |
+
return subprocess.check_output([git, "rev-parse", "HEAD"], shell=False, encoding='utf8').strip()
|
14 |
+
except Exception:
|
15 |
+
return "<none>"
|
16 |
+
|
17 |
+
def get_xformers_version():
|
18 |
+
try:
|
19 |
+
import xformers
|
20 |
+
return xformers.__version__
|
21 |
+
except Exception:
|
22 |
+
return "<none>"
|
23 |
+
def get_transformers_version():
|
24 |
+
try:
|
25 |
+
import transformers
|
26 |
+
return transformers.__version__
|
27 |
+
except Exception:
|
28 |
+
return "<none>"
|
29 |
+
|
30 |
+
def get_accelerate_version():
|
31 |
+
try:
|
32 |
+
import accelerate
|
33 |
+
return accelerate.__version__
|
34 |
+
except Exception:
|
35 |
+
return "<none>"
|
36 |
+
def get_safetensors_version():
|
37 |
+
try:
|
38 |
+
import safetensors
|
39 |
+
return safetensors.__version__
|
40 |
+
except Exception:
|
41 |
+
return "<none>"
|
42 |
+
def get_diffusers_version():
|
43 |
+
try:
|
44 |
+
import diffusers
|
45 |
+
return diffusers.__version__
|
46 |
+
except Exception:
|
47 |
+
return "<none>"
|
48 |
+
|
49 |
+
def get_torch_info():
|
50 |
+
from torch import __version__ as torch_version_, version, cuda, backends
|
51 |
+
initialize_cuda()
|
52 |
+
try:
|
53 |
+
info = [torch_version_, f"CUDA Version:{version.cuda}", f"Available:{cuda.is_available()}", f"flash attention enabled: {backends.cuda.flash_sdp_enabled()}", f"Capabilities: {cuda.get_device_capability(0)}", f"Device Name: {cuda.get_device_name(0)}", f"Device Count: {cuda.device_count()}",f"Devices: {os.environ['CUDA_VISIBLE_DEVICES']}", f"Zero :{os.environ['CUDA_MODULE_LOADING']}"]
|
54 |
+
del torch_version_, version, cuda, backends
|
55 |
+
return info
|
56 |
+
except Exception:
|
57 |
+
del torch_version_, version, cuda, backends
|
58 |
+
return "<none>"
|
59 |
+
|
60 |
+
def release_torch_resources():
|
61 |
+
from torch import cuda
|
62 |
+
# Clear the CUDA cache
|
63 |
+
cuda.empty_cache()
|
64 |
+
cuda.ipc_collect()
|
65 |
+
# Delete any objects that are using GPU memory
|
66 |
+
#for obj in gc.get_objects():
|
67 |
+
# if is_tensor(obj) or (hasattr(obj, 'data') and is_tensor(obj.data)):
|
68 |
+
# del obj
|
69 |
+
# Run garbage collection
|
70 |
+
del cuda
|
71 |
+
gc.collect()
|
72 |
+
|
73 |
+
|
74 |
+
def initialize_cuda():
|
75 |
+
from torch import cuda, version
|
76 |
+
if cuda.is_available():
|
77 |
+
device = cuda.device("cuda")
|
78 |
+
print(f"CUDA is available. Using device: {cuda.get_device_name(0)} with CUDA version: {version.cuda}")
|
79 |
+
result = "cuda"
|
80 |
+
else:
|
81 |
+
device = cuda.device("cpu")
|
82 |
+
print("CUDA is not available. Using CPU.")
|
83 |
+
result = "cpu"
|
84 |
+
return result
|
85 |
+
|
86 |
+
def versions_html():
|
87 |
+
from torch import __version__ as torch_version_
|
88 |
+
python_version = ".".join([str(x) for x in sys.version_info[0:3]])
|
89 |
+
commit = commit_hash()
|
90 |
+
|
91 |
+
# Define the Toggle Dark Mode link with JavaScript
|
92 |
+
toggle_dark_link = '''
|
93 |
+
<a href="#" onclick="document.body.classList.toggle('dark'); return false;" style="cursor: pointer; text-decoration: underline; color: #1a0dab;">
|
94 |
+
Toggle Dark Mode
|
95 |
+
</a>
|
96 |
+
'''
|
97 |
+
|
98 |
+
v_html = f"""
|
99 |
+
version: <a href="https://huggingface.co/spaces/Surn/HexaGrid/commit/{"huggingface" if commit == "<none>" else commit}" target="_blank">{"huggingface" if commit == "<none>" else commit}</a>
|
100 |
+
 • 
|
101 |
+
python: <span title="{sys.version}">{python_version}</span>
|
102 |
+
 • 
|
103 |
+
torch: {torch_version_}
|
104 |
+
 • 
|
105 |
+
diffusers: {get_diffusers_version()}
|
106 |
+
 • 
|
107 |
+
transformers: {get_transformers_version()}
|
108 |
+
 • 
|
109 |
+
xformers: {get_xformers_version()}
|
110 |
+
 • 
|
111 |
+
gradio: {gr.__version__}
|
112 |
+
 • 
|
113 |
+
{toggle_dark_link}
|
114 |
+
<br>
|
115 |
+
Full GPU Info:{get_torch_info()}
|
116 |
+
"""
|
117 |
+
del torch_version_
|
118 |
+
return v_html
|
requirements.txt
CHANGED
@@ -1,6 +1,14 @@
|
|
1 |
-
|
2 |
-
|
3 |
-
|
4 |
safetensors
|
5 |
sentencepiece
|
6 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
git+https://github.com/huggingface/diffusers.git
|
2 |
+
git+https://github.com/huggingface/transformers.git
|
3 |
+
git+https://github.com/huggingface/accelerate.git
|
4 |
safetensors
|
5 |
sentencepiece
|
6 |
+
git+https://github.com/huggingface/peft.git
|
7 |
+
Pillow>=11.0.0
|
8 |
+
numpy
|
9 |
+
pycairo
|
10 |
+
cairocffi
|
11 |
+
pangocffi
|
12 |
+
pangocairocffi
|
13 |
+
cairosvg
|
14 |
+
python-dotenv
|
style_20250128.css
ADDED
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
.interface-wrapper {
|
2 |
+
max-width: 1024px;
|
3 |
+
margin: 0 auto;
|
4 |
+
}
|
5 |
+
|
6 |
+
.centered {
|
7 |
+
margin: 0 auto;
|
8 |
+
display: block;
|
9 |
+
}
|
10 |
+
|
11 |
+
.solid {
|
12 |
+
opacity: 1.0 !important;
|
13 |
+
height: auto !important;
|
14 |
+
}
|
15 |
+
|
16 |
+
.intro {
|
17 |
+
font-size: 1.2em !important;
|
18 |
+
font-weight: bold;
|
19 |
+
text-align: center;
|
20 |
+
background-color: rgba(242, 218, 163, 0.62);
|
21 |
+
}
|
22 |
+
|
23 |
+
.dark .gradio-container.gradio-container-5-12-0 .contain .intro {
|
24 |
+
background-color: rgba(41, 18, 5, 0.38) !important;
|
25 |
+
}
|
26 |
+
|
27 |
+
.small {
|
28 |
+
font-size: smaller !important;
|
29 |
+
text-align: center;
|
30 |
+
}
|
31 |
+
|
32 |
+
.imgcontainer img {
|
33 |
+
object-fit: contain !important;
|
34 |
+
}
|
35 |
+
|
36 |
+
#examples {
|
37 |
+
font-weight: bolder;
|
38 |
+
}
|
39 |
+
|
40 |
+
--background-fill-primary: #FBCE50 !important;
|
41 |
+
#col-container {
|
42 |
+
max-width: 1024px;
|
43 |
+
margin-left: auto;
|
44 |
+
margin-right: auto;
|
45 |
+
}
|
46 |
+
|
47 |
+
a {
|
48 |
+
text-decoration-line: underline;
|
49 |
+
font-weight: 600;
|
50 |
+
}
|
51 |
+
|
52 |
+
#btn-generate {
|
53 |
+
background-image: linear-gradient(to right bottom, rgb(157, 255, 157), rgb(229, 255, 235));
|
54 |
+
}
|
55 |
+
|
56 |
+
#btn-generate:hover {
|
57 |
+
background-image: linear-gradient(to right bottom, rgb(229, 255, 229), rgb(255, 255, 255));
|
58 |
+
}
|
59 |
+
|
60 |
+
#btn-generate:active {
|
61 |
+
background-image: linear-gradient(to right bottom, rgb(229, 255, 235), rgb(157, 255, 157));
|
62 |
+
}
|
63 |
+
|
64 |
+
#versions {
|
65 |
+
margin-top: 1em;
|
66 |
+
width: 100%;
|
67 |
+
text-align: center;
|
68 |
+
}
|
69 |
+
|
70 |
+
.small-btn {
|
71 |
+
max-width: 75px;
|
72 |
+
}
|
73 |
+
|
74 |
+
#gallery .thumbnails {
|
75 |
+
flex-direction: column !important;
|
76 |
+
display: inline-flex !important;
|
77 |
+
flex-wrap: wrap !important;
|
78 |
+
position: relative !important;
|
79 |
+
}
|
80 |
+
|
81 |
+
#gallery caption.caption {
|
82 |
+
flex-direction: row !important;
|
83 |
+
display: inline-flex !important;
|
84 |
+
flex-wrap: wrap;
|
85 |
+
white-space: unset !important;
|
86 |
+
}
|
87 |
+
|
88 |
+
#gallery .image-button img.with-caption {
|
89 |
+
object-fit: cover !important;
|
90 |
+
object-position: center !important;
|
91 |
+
}
|
92 |
+
|
93 |
+
#gallery button.preview {
|
94 |
+
position: relative !important;
|
95 |
+
}
|
96 |
+
|
97 |
+
.gradio-container::before {
|
98 |
+
content: ' ';
|
99 |
+
display: block;
|
100 |
+
position: absolute;
|
101 |
+
left: 0;
|
102 |
+
top: 0;
|
103 |
+
width: 100%;
|
104 |
+
height: 100%;
|
105 |
+
opacity: 0.25;
|
106 |
+
background-image: url('gradio_api/file=./images/logo.png');
|
107 |
+
background-repeat: no-repeat;
|
108 |
+
background-position: 50% 0;
|
109 |
+
background-size: cover;
|
110 |
+
background-color: rgba(0,0,0,0.9);
|
111 |
+
}
|
112 |
+
|
113 |
+
#component-0, #component-1 {
|
114 |
+
opacity: 0.9;
|
115 |
+
}
|
116 |
+
|
117 |
+
#excluded_colors {
|
118 |
+
width: 95%;
|
119 |
+
margin: 0 auto;
|
120 |
+
font-size: smaller;
|
121 |
+
}
|
122 |
+
|
123 |
+
@media only screen and (min-width: 1920px) {
|
124 |
+
.gradio-container, .gradio-container::before {
|
125 |
+
max-width: 1920px !important;
|
126 |
+
}
|
127 |
+
}
|