Instructions to use camenduru/ColorFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/ColorFlow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camenduru/ColorFlow", 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 GraySD/MultiResNetModel.bin from camenduru/ColorFlow: direct link, hf CLI and curl.
- Browser
- Download file 340 MB
-
https://huggingface.co/camenduru/ColorFlow/resolve/main/GraySD/MultiResNetModel.bin
- Command line
-
hf download hf://camenduru/ColorFlow/GraySD/MultiResNetModel.bin
-
curl -L -o MultiResNetModel.bin https://huggingface.co/camenduru/ColorFlow/resolve/main/GraySD/MultiResNetModel.bin
340 MB
- Xet hash:
- 013a7e5a1e80aad18d87da92495f7b8ea05aa717c56b194eb6819b1274d78b3d
- Size of remote file:
- 340 MB
- SHA256:
- 7f536ea6bbeb0e68d290da57231681e18e6424ed9aca86b00c041b86371beba0
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