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:
- 1183a25d2dd38e2b83a1b9f11522783255c1cc45e5d28fe90e6fc15fdbafb4b3
- Size of remote file:
- 2.68 MB
- SHA256:
- e84bb0d30f9de5f723541259119fa2702639a8c73465fe8263085739154eff9f
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