Instructions to use Anzhc/Anzhcs-VAEs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Anzhc/Anzhcs-VAEs with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Anzhc/Anzhcs-VAEs", 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 SDXL Anime VAE Dec-only B3.safetensors from Anzhc/Anzhcs-VAEs: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Anzhc/Anzhcs-VAEs/resolve/main/SDXL%20Anime%20VAE%20Dec-only%20B3.safetensors
- Command line
-
hf download 'hf://Anzhc/Anzhcs-VAEs/SDXL Anime VAE Dec-only B3.safetensors'
-
curl -L -o 'SDXL Anime VAE Dec-only B3.safetensors' https://huggingface.co/Anzhc/Anzhcs-VAEs/resolve/main/SDXL%20Anime%20VAE%20Dec-only%20B3.safetensors
335 MB
- Xet hash:
- 334664de22fd5b1c39674c01739367a257dcfc745a7810a126683615ecab5bdc
- Size of remote file:
- 335 MB
- SHA256:
- 550b050b07581d17de46e6283e351713dad50c7c459f955fafc080decbeb38c9
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