Instructions to use AbstractFramework/wan2.2-t2v-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-t2v-a14b-diffusers-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download AbstractFramework/wan2.2-t2v-a14b-diffusers-8bit --local-dir wan2.2-t2v-a14b-diffusers-8bit
- mflux
How to use AbstractFramework/wan2.2-t2v-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-t2v-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
- Atomic Chat
I downloaded this model and ran it with mlxgen 0.35.0, but I got an error.
I downloaded this model and tried running it with mlxgen 0.35.0, but it threw an error saying the tokenizer was missing. However, the tokenizer files are actually inside the model folder. Why is this happening?
Thanks for the report. The tokenizer files in this repo load correctly with mlx-gen 0.35.0 and both transformers 5.0 and 5.20, so this looks like the resolver picking a different folder than the one you are looking at. Could you share:
- The exact command you ran (the model card's flow is
mlxgen download --model AbstractFramework/wan2.2-t2v-a14b-diffusers-8bitfollowed bymlxgen generate --model AbstractFramework/wan2.2-t2v-a14b-diffusers-8bit --task text-to-video ...). - The full error output. The message names the folder it checked.
ls -la <that folder>/tokenizer.- Whether a
models/wan2.2-t2v-a14b-diffusers-8bitfolder exists in your working directory or home directory. mlx-gen prefers such a folder over the Hugging Face cache. pip show mlx-gen transformers.
Re-running the mlxgen download command is safe and completes a partial cache if that is what happened.