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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b409c0807ca8d19169c9f70f6116b1102b005cc51ce4c95c42b6c6b0e451d893
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size 3920504
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