Instructions to use AiArtLab/simplevae2x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/simplevae2x 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/simplevae2x", 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/simplevae2x: direct link, hf CLI and curl.
- Browser
- Download file 383 MB
-
https://huggingface.co/AiArtLab/simplevae2x/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://AiArtLab/simplevae2x/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/AiArtLab/simplevae2x/resolve/main/vae/diffusion_pytorch_model.safetensors
383 MB
- Xet hash:
- 1b0b8b7ec90575e4f1f8486a494684c920a6faf4e1637d48df7e241afa9d869e
- Size of remote file:
- 383 MB
- SHA256:
- 98a644a03456c80a19c14b9dc792c6f65df4a1d82d24e18b2c8bf4a4e6a2c86d
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