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2025-03-13 17:39:29 +08:00
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@@ -63,6 +63,10 @@ The primary issue is the high degree of heterogeneity between the training datas
which results in highly unstable training. Moreover, FLUX-Dev is a distilled model, and the influence of its original negative prompts on its final performance is uncertain.
As a result, subsequent efforts will be focused on post-training the ACE model using the Wan series of foundational models.
- I would like to emphasize that, due to the reasons mentioned earlier, the performance of the FFT model may decline compared
to the LoRA model across various tasks. Therefore, we recommend continuing to use the LoRA model to achieve better results.
We provide the FFT model with the hope that it may facilitate academic exploration and research in this area.
- We have been busy with other projects recently. Our new work in the video domain, [VACE](https://ali-vilab.github.io/VACE-Page/),
has also been released, and we welcome you to continue following our work.