GPT-SoVITS/GPT_SoVITS/f5_tts/model/backbones

Backbones quick introduction

unett.py

• flat unet transformer
• structure same as in e2-tts & voicebox paper except using rotary pos emb
• update: allow possible abs pos emb & convnextv2 blocks for embedded text before concat

dit.py

• adaln-zero dit
• embedded timestep as condition
• concatted noised_input + masked_cond + embedded_text, linear proj in
• possible abs pos emb & convnextv2 blocks for embedded text before concat
• possible long skip connection (first layer to last layer)

mmdit.py

• sd3 structure
• timestep as condition
• left stream: text embedded and applied a abs pos emb
• right stream: masked_cond & noised_input concatted and with same conv pos emb as unett