Hi,
Thank you for sharing this excellent work!
I have been testing the inference code of wan_vap. When the reference video and the target prompt are consistent, the generated results are fantastic, just as shown in your demo.
However, I noticed that the generated output doesn't seem to change at all when I modify the reference video. Even when I use a completely different reference video, the generated result remains exactly the same. It feels as though the model is ignoring the reference video condition during inference.
Is there a specific configuration, weight, or parameter I need to adjust to enforce the video conditioning?
Thanks in advance for your help!
Hi,
Thank you for sharing this excellent work!
I have been testing the inference code of wan_vap. When the reference video and the target prompt are consistent, the generated results are fantastic, just as shown in your demo.
However, I noticed that the generated output doesn't seem to change at all when I modify the reference video. Even when I use a completely different reference video, the generated result remains exactly the same. It feels as though the model is ignoring the reference video condition during inference.
Is there a specific configuration, weight, or parameter I need to adjust to enforce the video conditioning?
Thanks in advance for your help!