Text-to-Video
Safetensors
MLX
mflux
Wan2.2
mlx-gen
apple-silicon
8-bit precision
mixed-q8-bf16
wan
video-generation
image-to-video
Instructions to use AbstractFramework/wan2.2-ti2v-5b-diffusers-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/wan2.2-ti2v-5b-diffusers-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir wan2.2-ti2v-5b-diffusers-8bit AbstractFramework/wan2.2-ti2v-5b-diffusers-8bit
- mflux
How to use AbstractFramework/wan2.2-ti2v-5b-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-ti2v-5b-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:
- 8b1149ae485564cdad998247d95861d16a0e9a4a8c5e4944f396b3074d486860
- Size of remote file:
- 1.41 GB
- SHA256:
- 8ba84d3014ef6a77ebdbbdc16c339054bdb298c37a992f0f3926fe6c5d6d4769
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