Instructions to use JFoz/dog-pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JFoz/dog-pose with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("JFoz/dog-pose") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2fa236b91cb3c6d3cc4c4488f2aeba0e674a4394de99c10a817d60b9742e5083
- Size of remote file:
- 1.45 GB
- SHA256:
- 0991f2b9158caaf61ab5eae0a7e3e23c4086885cbadb6f73d51652f8953da5fd
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