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
| license: openrail | |
| library_name: diffusers | |
| base_model: | |
| - stabilityai/sdxl-vae | |
| (Nothing here for now) | |
| ## Support | |
| If you want to support me, feel free to donate on ko-fi: | |
| https://ko-fi.com/anzhc | |
| Or send me some BTC: | |
| bc1qpc5kmxrpqp6x8ykdu6976s4rvsz0utk22h80j9 |