Instructions to use diffusers/controlnet-sd-xl-0.9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/controlnet-sd-xl-0.9 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/controlnet-sd-xl-0.9", 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:
- e313401599342366cc3fa4a411155161539856fa752af71fb0eadfe0a82dc45a
- Size of remote file:
- 5 GB
- SHA256:
- 34cb64edf535337d2f533cdd24b783d49f7e1ff8a4e8379b16eb87dcd1622e58
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