Instructions to use BitStarWalkin/avater_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BitStarWalkin/avater_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BitStarWalkin/avater_diffusion", 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 vae_original/diffusion_pytorch_model.bin from BitStarWalkin/avater_diffusion: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/BitStarWalkin/avater_diffusion/resolve/main/vae_original/diffusion_pytorch_model.bin
- Command line
-
hf download hf://BitStarWalkin/avater_diffusion/vae_original/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/BitStarWalkin/avater_diffusion/resolve/main/vae_original/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 95b3b3d02de97b226ff9e08431aa325f960345ceca97e167d2bf120883b5cc99
- Size of remote file:
- 335 MB
- SHA256:
- 9de89adcc2cd4d5eadf712aa2bff75270798651c1f138a2d3b71ac6f39913c4b
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