Instructions to use TheDenk/wan2.2-ti2v-5b-controlnet-depth-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheDenk/wan2.2-ti2v-5b-controlnet-depth-v1 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TheDenk/wan2.2-ti2v-5b-controlnet-depth-v1") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Wan2.2
How to use TheDenk/wan2.2-ti2v-5b-controlnet-depth-v1 with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -106,7 +106,7 @@ Original code and models [Wan2.2](https://github.com/Wan-Video/Wan2.2).
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## Citations
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```
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@misc{TheDenk,
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title={
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author={Karachev Denis},
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url={https://github.com/TheDenk/wan2.2-controlnet},
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publisher={Github},
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## Citations
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```
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@misc{TheDenk,
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title={Wan2.2 Controlnet},
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author={Karachev Denis},
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url={https://github.com/TheDenk/wan2.2-controlnet},
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publisher={Github},
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