Instructions to use GraydientPlatformAPI/vae-blessed2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/vae-blessed2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/vae-blessed2", 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 GraydientPlatformAPI/vae-blessed2: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/GraydientPlatformAPI/vae-blessed2/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://GraydientPlatformAPI/vae-blessed2/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/GraydientPlatformAPI/vae-blessed2/resolve/main/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 099664953d637cf2082e11d562fb2ba169327f8e114c216e0b01526ab8514252
- Size of remote file:
- 335 MB
- SHA256:
- 209491b835925e89216c73fc3644ca2473ceb28ea0480d14ad9c803013e095c7
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