Instructions to use hlky/tiny-sdxl-custom-components-automodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hlky/tiny-sdxl-custom-components-automodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hlky/tiny-sdxl-custom-components-automodel", 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 vae_decoder/openvino_model.xml from hlky/tiny-sdxl-custom-components-automodel: direct link, hf CLI and curl.
- Browser
- Download file 521 kB
-
https://huggingface.co/hlky/tiny-sdxl-custom-components-automodel/resolve/main/vae_decoder/openvino_model.xml
- Command line
-
hf download hf://hlky/tiny-sdxl-custom-components-automodel/vae_decoder/openvino_model.xml
-
curl -L -o openvino_model.xml https://huggingface.co/hlky/tiny-sdxl-custom-components-automodel/resolve/main/vae_decoder/openvino_model.xml
521 kB
File too large to display, you can check the raw version instead.