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.

Model description for Flux-Super-Paint-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	26 & 3400
Epoch	25	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

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: 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/Flux-Super-Paint-LoRA"
trigger_word = "Super Paint"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Trigger words

You should use Super Paint to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.