Instructions to use Moon-jack/Democratize-CSG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Moon-jack/Democratize-CSG with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Moon-jack/Democratize-CSG", 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 checkpoints/Animation/pose_net.pth from Moon-jack/Democratize-CSG: direct link, hf CLI and curl.
- Browser
- Download file 418 kB
-
https://huggingface.co/Moon-jack/Democratize-CSG/resolve/main/checkpoints/Animation/pose_net.pth
- Command line
-
hf download hf://Moon-jack/Democratize-CSG/checkpoints/Animation/pose_net.pth
-
curl -L -o pose_net.pth https://huggingface.co/Moon-jack/Democratize-CSG/resolve/main/checkpoints/Animation/pose_net.pth
418 kB
- Xet hash:
- 682f051330da30a9998befc8f5f34edff52f0f39ee15a83e470db0a39ec8e027
- Size of remote file:
- 418 kB
- SHA256:
- a3a6346921f86f70b0ccc9723f2fea1641543cba30025f3cd9e91c064f66d77d
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