Instructions to use hf-internal-testing/tiny-sdxl-custom-components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/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("hf-internal-testing/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
- Draw Things
- DiffusionBee
- Xet hash:
- afea32bc60840e4c7027eda69dbc7ed274060ea2f819c514bf874f21d57e4ff5
- Size of remote file:
- 1.6 MB
- SHA256:
- 18cb02fba3ec844ab18b875931d13e48144a1e294e8d1ff7b92490864fbffecd
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