Instructions to use zhyemmmm/Cutecolor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zhyemmmm/Cutecolor with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zhyemmmm/Cutecolor", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from zhyemmmm/Cutecolor: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/zhyemmmm/Cutecolor/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://zhyemmmm/Cutecolor/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/zhyemmmm/Cutecolor/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 17de8eb8b412d73d90b764dfbdb686b9ee8445437e8bd844f964439b5b1cebae
- Size of remote file:
- 3.44 GB
- SHA256:
- 36cc03aa002112e9eaea367112065b2a9e082989b5b8039f574d75d4d2834bc3
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