metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
Coloring Book, A black and white drawing of a truck parked in front of a
house. The truck is facing towards the right side of the image. There is a
large tree to the right of the truck. There are small bushes to the left
of the house. A fence is behind the truck on the right. The house has a
roof that is made up of wood. The sky above the house is filled with
fluffy white clouds.
output:
url: images/EB1.png
- text: >-
Coloring Book, A black and white pencil sketch of a fox standing on its
hind legs. The foxs fur is a light brown color, and its ears are a darker
brown. Its eyes are black, and the foxs mouth is slightly open, as if it
is about to go into the water. Thefoxs ears are sticking up, and it has a
black nose and black eyes. There is a tree trunk on the left side of the
image, and there are clouds in the sky. There are plants on the right and
left of the fox.
output:
url: images/EB2.png
- text: >-
Coloring Book, An eye-level view of a white sports car, the car is facing
towards the right. The car is positioned in front of a backdrop of a
cityscape, with the city skyline in the background. It is a black and
white monochromatic image, with black accents on the cars body and the
hood. The front of the car has a large headlight in the center of the
front, and a black bumper with a yellow emblem on the right side of the
headlight. On the left side, there are two large black tires with silver
rims on them.
output:
url: images/EB3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Coloring Book
license: creativeml-openrail-m
Coloring-Book-Flux-LoRA
The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.
Model description
prithivMLmods/Coloring-Book-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 | 20 & 2000 |
Epoch | 10 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 10 [ Hi-RES ]
Best Dimensions
- 1024 x 1024 (Default)
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 = "prithivMLmods/Coloring-Book-Flux-LoRA"
trigger_word = "Coloring Book"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Data source
- https://playground.com/
Trigger words
You should use Coloring Book
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.