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", torch_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:
- fc9426635a784f08c19db910c5abf1fa4ea72f9f1447b0dfce23ba08826e166f
- Size of remote file:
- 3.99 MB
- SHA256:
- 7104ee940bb61675943734efbd31eb17cb3b21c629fd1e6a04e3c254f0e756a5
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