Instructions to use kushaaagr/controlnet-color-guider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kushaaagr/controlnet-color-guider with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kushaaagr/controlnet-color-guider", 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
Download diffusion_pytorch_model.bin from kushaaagr/controlnet-color-guider: direct link, hf CLI and curl.
- Browser
- Download file 729 MB
-
https://huggingface.co/kushaaagr/controlnet-color-guider/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://kushaaagr/controlnet-color-guider/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/kushaaagr/controlnet-color-guider/resolve/main/diffusion_pytorch_model.bin
729 MB
- Xet hash:
- 9cc9c923ebfb1145725213fdebd205606b62504a3e1d8bd26cc48bd74dd2bb9d
- Size of remote file:
- 729 MB
- SHA256:
- 4ef1437bcf5c90d9cd59439654831db391b33071888ad9e7d591069eb0e76710
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