Open Jiang-Stan opened 4 months ago
Can you share training detail of TTA autoencoderKL? I tried to reproduce the result with the origin repo with your preprocessed mel data and training configs, but I failed to get result similar to opensource ckpt. Or is there any way determining performance of ckpts of different iter?
Hi, the detail can be found in https://github.com/open-mmlab/Amphion/blob/main/egs/tta/autoencoderkl/exp_config_latent_4_10_78.json
So the rest of the parameters are inherited from config/autoencoderkl.json, right?
Problem Overview
(Briefly and clearly describe the issue you're facing and seeking help with.) I tried to reproduce the TTA recipe, but it seems that it is hard to assess performance through any loss.
Thanks in advance for your sicerely help!