Instructions to use hf-internal-testing/dummy-sdxl-controlnet-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/dummy-sdxl-controlnet-pipe 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/dummy-sdxl-controlnet-pipe", 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:
- 1319f9af0ae7e66d7bbd8b768769bf1fc5cdcf97f4f6fcaa3dc6787bfb407af8
- Size of remote file:
- 3.99 MB
- SHA256:
- 94525ca3e9cbab35027c3348e89a64809636b801e6a50c6c2e3347552fe8448c
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