thu-ml / thu-ml/TurboDiffusion
How to train Wan2.2 I2V from scratch?
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- Python
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Description
The README shows how to set up training for T2V WAN2.1, but I'm curious about the correct way to train WAN2.2 i2v.
Can we use the same dataset for I2V?
git clone https://huggingface.co/datasets/worstcoder/Wan_datasets assets/datasets
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the README's existing T2V WAN2.1 training instructions and inspect the referenced Wan_datasets dataset at the provided Hugging Face URL. Determine whether WAN2.2 I2V training is supported and what dataset and training changes would be required; the issue does not define a concrete completion test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100