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TheDenk
/
wan2.2-t2v-a14b-controlnet-depth-v1

Video-to-Video
Diffusers
Safetensors
Wan2.2
English
video
video-generation
controlnet
Model card Files Files and versions
xet
Community
1

Instructions to use TheDenk/wan2.2-t2v-a14b-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-t2v-a14b-controlnet-depth-v1 with Diffusers:

    pip install -U diffusers transformers accelerate
    from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
    
    controlnet = ControlNetModel.from_pretrained("TheDenk/wan2.2-t2v-a14b-controlnet-depth-v1")
    pipe = StableDiffusionControlNetPipeline.from_pretrained(
    	"fill-in-base-model", controlnet=controlnet
    )
  • Wan2.2

    How to use TheDenk/wan2.2-t2v-a14b-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
wan2.2-t2v-a14b-controlnet-depth-v1
705 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
TheDenk's picture
TheDenk
Update README.md
965e913 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    4.74 kB
    Update README.md 7 months ago
  • config.json
    502 Bytes
    init 10 months ago
  • diffusion_pytorch_model.safetensors
    705 MB
    xet
    init 10 months ago