Instructions to use GV05/sd-class-anime-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GV05/sd-class-anime-32 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GV05/sd-class-anime-32", 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 GV05/sd-class-anime-32: direct link, hf CLI and curl.
- Browser
- Download file 74.3 MB
-
https://huggingface.co/GV05/sd-class-anime-32/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://GV05/sd-class-anime-32/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/GV05/sd-class-anime-32/resolve/main/diffusion_pytorch_model.bin
74.3 MB
- Xet hash:
- 9cf824a657f3494cd0531821b4248a03cfe654ed04d4aba3224039266040bb06
- Size of remote file:
- 74.3 MB
- SHA256:
- 5636b87201ae1b5bcc7143c82842f95f0c471e7651604645e6fcd90b59186583
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