Instructions to use hlky/tiny-sdxl-custom-components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hlky/tiny-sdxl-custom-components 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", 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_flax_model.msgpack from hlky/tiny-sdxl-custom-components: direct link, hf CLI and curl.
- Browser
- Download file 7.92 MB
-
https://huggingface.co/hlky/tiny-sdxl-custom-components/resolve/main/unet/diffusion_flax_model.msgpack
- Command line
-
hf download hf://hlky/tiny-sdxl-custom-components/unet/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/hlky/tiny-sdxl-custom-components/resolve/main/unet/diffusion_flax_model.msgpack
7.92 MB
- Xet hash:
- 337f3968a1b1a2aa92db94f8d9f7274de1bb6ae76a618a0be1ad01e1dad8853f
- Size of remote file:
- 7.92 MB
- SHA256:
- fed31ac1c90efa34dc35ea81f5b15c1f04f52cba3cb0a965d6473dd81afeddfd
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