Image-to-Video
Safetensors
MLX
mflux
Wan2.2
mlx-gen
apple-silicon
8-bit precision
mixed-q8-bf16
wan
video-generation
wan-a14b
Instructions to use AbstractFramework/wan2.2-i2v-a14b-diffusers-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/wan2.2-i2v-a14b-diffusers-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir wan2.2-i2v-a14b-diffusers-8bit AbstractFramework/wan2.2-i2v-a14b-diffusers-8bit
- mflux
How to use AbstractFramework/wan2.2-i2v-a14b-diffusers-8bit with mflux:
# 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
- Wan2.2
How to use AbstractFramework/wan2.2-i2v-a14b-diffusers-8bit 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
- Local Apps Settings
- LM Studio
- Xet hash:
- 08cf4256006126a32c6aafa05dcd14260603931c51d6bd34589b939dbc19325a
- Size of remote file:
- 2.11 GB
- SHA256:
- 2604986c11b565d08999df2b5dd0e5ef2c65bea2154a1e6a6e638051d0c9aa10
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