Instructions to use sebascorreia/jazz-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sebascorreia/jazz-vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sebascorreia/jazz-vae", 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 unet/diffusion_pytorch_model.safetensors from sebascorreia/jazz-vae: direct link, hf CLI and curl.
- Browser
- Download file 549 MB
-
https://huggingface.co/sebascorreia/jazz-vae/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://sebascorreia/jazz-vae/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/sebascorreia/jazz-vae/resolve/main/unet/diffusion_pytorch_model.safetensors
549 MB
- Xet hash:
- fc05be2088b5cb9d2278ca15c5224a094df3c71c0ee5733fc090591326fba92d
- Size of remote file:
- 549 MB
- SHA256:
- 2aec729af1c1528d5acddb6351a12aa23fe6d9e0ad675dd2d658e5d8965c8871
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