Total runs:
10.8K
Run Growth:
1.4K
Growth Rate:
12.76%
Sponsored by
APIMart
strangerzonehf / Flux-Super-Paint-LoRA
Model's Last Updated: February 17 2025
text-to-image
Introduction of Flux-Super-Paint-LoRA
Model Details of Flux-Super-Paint-LoRA
- 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.
Runs of strangerzonehf Flux-Super-Paint-LoRA on huggingface.co
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3-day runs
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30-day runs
More Information About Flux-Super-Paint-LoRA huggingface.co Model
Url of Flux-Super-Paint-LoRA
Flux-Super-Paint-LoRA huggingface.co Url
Provider of Flux-Super-Paint-LoRA huggingface.co
Other API from strangerzonehf
Updated:December 18 2025
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