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/unet.pth from Moon-jack/Democratize-CSG: direct link, hf CLI and curl.
- Browser
- Download file 3.1 GB
-
https://huggingface.co/Moon-jack/Democratize-CSG/resolve/main/checkpoints/Animation/unet.pth
- Command line
-
hf download hf://Moon-jack/Democratize-CSG/checkpoints/Animation/unet.pth
-
curl -L -o unet.pth https://huggingface.co/Moon-jack/Democratize-CSG/resolve/main/checkpoints/Animation/unet.pth
3.1 GB
- Xet hash:
- 57c4b600b4e882965f7d21383e63368610dad150ccc2e9ff73332518ed2e1157
- Size of remote file:
- 3.1 GB
- SHA256:
- aebb852fb9b2d0a2679c6ab17b84d0d9de1446e970dbde6a57bcca3fe5f7c1c6
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