đ Flux-Super-Paint-LoRA
A LoRA model for text-to-image generation, enabling the creation of diverse and detailed paintings based on text prompts.
đ Quick Start
Installation
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/Flux-Super-Paint-LoRA"
trigger_word = "Super Paint"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
Usage
You should use Super Paint
to trigger the image generation.
Example Prompts and Outputs
- Prompt: 'Super Paint, An abstract painting of a red basket filled with yellow french fries. The basket is made of red paper, and the basket is attached to a light blue wall. The yellow fries are arranged in a wavy pattern, and there is a yellow letter M on the red paper. There is a shadow of the basket on the left side of the painting, and on the right side, there are black lines that form the letters V and X.'
- Prompt: 'Super Paint, A painting of a glass jar with a green lid. The jar is filled with pickles. The pickles are yellow and green. There is a green stripe on the lid of the jar. There are black letters on the jar that are black. The jars are sitting on a light colored surface. Theres a shadow on the left side of the jars. The wall behind the jar is white.'
- Prompt: 'Super Paint, A painting of two cookies on a plate. The cookies are brown with black dots on them. The plate is white with a red stripe on it. There is a white bucket next to the cookies. The bucket has a blue rim around it. The wall behind the bucket is dark blue. The table under the plate is a light green color.'
- Prompt: 'Super Paint, An abstract painting of two pieces of bread on a light blue background. The left piece of bread has jam on it, while the right piece has peanut butter on it. The peanut butter is in the shape of a heart. The jam is a vibrant red color, and there are small white dots on the top of the jam. The painting is done in a simple, cartoon style.'

⨠Features
- Text-to-Image Generation: Generate high - quality paintings based on text prompts.
- LoRA Integration: Efficiently fine - tune the base model for specific styles.
đ Documentation
Model Information
- Base Model: black-forest-labs/FLUX.1-dev
- Instance Prompt: Super Paint
- License: creativeml-openrail-m
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 |
26 & 3400 |
Epoch |
25 |
Save Every N Epochs |
1 |
Labeling
The labeling is done using florence2 - en (natural language & English).
Training Data
Total Images Used for Training: 36
Best Dimensions & Inference
Dimensions |
Aspect Ratio |
Recommendation |
1280 x 832 |
3:2 |
Best |
1024 x 1024 |
1:1 |
Default |
Inference Range
- Recommended Inference Steps: 30â35
đ License
This model is released under the creativeml-openrail-m license.
đĻ Download
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.