Instructions to use AiArtLab/simplevae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/simplevae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/simplevae", 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 vae/diffusion_pytorch_model.safetensors from AiArtLab/simplevae: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/AiArtLab/simplevae/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://AiArtLab/simplevae/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/AiArtLab/simplevae/resolve/main/vae/diffusion_pytorch_model.safetensors
168 MB
- Xet hash:
- 9487817c90aabc4d1f0d70f3a37fb316f774e568e4f8c70a0a547dca3d67de75
- Size of remote file:
- 168 MB
- SHA256:
- 2ff1aa1cce9dcf003c7eb23548fdb62101fe9bdeedf30aa4a897b91a6ef13f93
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