Instructions to use majo303/CuteRichStyleFlux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use majo303/CuteRichStyleFlux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("majo303/CuteRichStyleFlux") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Cute Rich Style FLUX

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Model description
Thats the first Version from "Cut Rich Style" its trained only on 512x512 images.
After choosing some cherrypics i will release a Bigger Version with 1024x1024 Pictures. But you can Do 1024x1024 easy.
V2.0 coming soon ! have Fun with it.
Trigger words
You should use cutertx to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
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Model tree for majo303/CuteRichStyleFlux
Base model
black-forest-labs/FLUX.1-dev