metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
lucia character, a woman is seated in a car, holding a stack of twenty
dollar bills in her left hand. She is dressed in a black tank top, adorned
with a red bandana tied around her neck. Her hair is pulled back in a
ponytail, and she is wearing a pair of silver hoop earrings. Her eyes are
open, and her lips are pursed. The interior of the car is a dark brown
leather, and the sun is shining through the window, casting a shadow on
the left side of the image.
output:
url: images/1.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: lucia character
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
Lucia_Gta6-Flux-LoRA
- Prompt
- lucia character, a woman is seated in a car, holding a stack of twenty dollar bills in her left hand. She is dressed in a black tank top, adorned with a red bandana tied around her neck. Her hair is pulled back in a ponytail, and she is wearing a pair of silver hoop earrings. Her eyes are open, and her lips are pursed. The interior of the car is a dark brown leather, and the sun is shining through the window, casting a shadow on the left side of the image.
Model description for Lucia_Gta6-Flux-LoRA
Image Processing Parameters
| Parameter | Value | Parameter | Value |
|---|---|---|---|
| LR Scheduler | constant | Noise Offset | 0.03 |
| Optimizer | AdamW | Multires Noise Discount | 0.1 |
| Network Dim | 64 | Multires Noise Iterations | 10 |
| Network Alpha | 32 | Repeat & Steps | 15 & 1800 |
| Epoch | 13 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 14
Best Dimensions & Inference
| Dimensions | Aspect Ratio | Recommendation |
|---|---|---|
| 1280 x 832 | 3:2 | Best |
| 1024 x 1024 | 1:1 | Default |
Inference Range
- Recommended Inference Steps: 30-35
Setting Up
import torch
from pipelines import DiffusionPipeline
base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
lora_repo = "strangerzonehf/Lucia_Gta6-Flux-LoRA"
trigger_word = "lucia character"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Trigger words
You should use lucia character to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.