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
- Xet hash:
- 7fd08d239a5fc4567b99aad4c90f74ed1680b5fb839c678e21287e29f9f75d05
- Size of remote file:
- 431 kB
- SHA256:
- 00e31e9d12a7527fcdd90c94333c4ddf50cecc6efc4cbea8691f1c21d6c45663
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