aigc-apps / aigc-apps/VideoX-Fun
[Question] Inquiries regarding training details and implementation of Wan-Animate
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Description
Hello,
I am currently working on implementing the training and fine-tuning pipeline for the Wan-Animate model using this codebase, but I have encountered some difficulties.
Could you please provide some clarification on the following points?
- Loss Formulation: Is there any difference in the loss function (or training objective) between
Wan-AnimateandWan-2.2-I2V? - Training Verification: Has the
Wan-Animatemodel been fully trained or verified using this codebase? - Data: Could you share details about the training data used for Wan-Animate?
Thank you for your help!
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Research direction
Start by locating the Wan-Animate and Wan-2.2-I2V training objectives in the codebase and comparing their loss formulations. Then determine whether Wan-Animate has been trained or verified here and identify any available information about its training data. Done means these three questions have documented, evidence-based answers.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100