Thank you for releasing such an excellent open-source work. I would appreciate some clarification regarding the distillation procedure described in the paper.
As mentioned, the Teacher Model provides supervision for the generation of each block (e.g., 5 seconds). Since the Student Model conditions on previously generated frames as historical context, it is not entirely clear to me whether the Teacher Model also operates under the same setting.
Could you please clarify whether the Teacher Model performs text-to-video denoising directly, or whether the teacher model (e.g., Wan2.1-14B) is first adapted to incorporate historical frame conditioning before being used for supervision?
Thank you for releasing such an excellent open-source work. I would appreciate some clarification regarding the distillation procedure described in the paper.
As mentioned, the Teacher Model provides supervision for the generation of each block (e.g., 5 seconds). Since the Student Model conditions on previously generated frames as historical context, it is not entirely clear to me whether the Teacher Model also operates under the same setting.
Could you please clarify whether the Teacher Model performs text-to-video denoising directly, or whether the teacher model (e.g., Wan2.1-14B) is first adapted to incorporate historical frame conditioning before being used for supervision?