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
- Xet hash:
- 258e2dd0cf2e2c77b1693567eefa62603d9750698d158ac35cad46a53d081f0d
- Size of remote file:
- 2.64 MB
- SHA256:
- f660614068b8211de0076bbf4739ed5b4bb34a1d752ebfd6b350bf142643883a
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