Instructions to use hf-internal-testing/tiny-controlnet-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-controlnet-sdxl 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-controlnet-sdxl", 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
- Xet hash:
- 72efb19f1cc94ef0d846a36b0fa8857edfedd3d02ae003c45c32def0738f5989
- Size of remote file:
- 3.92 MB
- SHA256:
- b409c0807ca8d19169c9f70f6116b1102b005cc51ce4c95c42b6c6b0e451d893
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