Instructions to use Muapi/cute-crayon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/cute-crayon 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/cute-crayon") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download preview.jpg from Muapi/cute-crayon: direct link, hf CLI and curl.
- Browser
- Download file 132 kB
-
https://huggingface.co/Muapi/cute-crayon/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/cute-crayon/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/cute-crayon/resolve/main/preview.jpg
132 kB

- Xet hash:
- cef30e56e2e76708cc46a1526b09a895e6d7fdf1ce0c821cfe15510074c8f1a4
- Size of remote file:
- 132 kB
- SHA256:
- f54fda43de8c0a82fc6faf4f11046d6dcdc056646249e238378dd8c830a23a57
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