Instructions to use tomriddle/anythinv3-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tomriddle/anythinv3-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("tomriddle/anythinv3-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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from tomriddle/anythinv3-vae: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/tomriddle/anythinv3-vae/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://tomriddle/anythinv3-vae/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/tomriddle/anythinv3-vae/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 33ae8cdb1cbf1f548ea58d8a7273b734c0daffc43b70e3c27f6a8963c91c9376
- Size of remote file:
- 3.44 GB
- SHA256:
- 19fa5a0f420cf050cfa801abff84bbdd139d242eb30103cb18275d4b11c6db0a
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