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README: recommend the 0.666 VAE merge

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@@ -54,6 +54,12 @@ and `<name>.txt` = a style caption starting with your trigger phrase (e.g. `xyzq
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  ~1,500 steps the model memorises the songs.
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  6. `LADDER_STYLE_TRACK=<song> LADDER_LYRICS=<lyrics.txt> bash ladder.sh my_lora nar_lora_joint_v4.pt` — renders one fixed prompt from every checkpoint (optional `FINALS=<file>` with lines `tag style_track lyrics seed`). Pick by ear (ours: step 800).
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  ## Inference
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  ```bash
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  # new song: style caption with your trigger + lyrics, score-free
 
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  ~1,500 steps the model memorises the songs.
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  6. `LADDER_STYLE_TRACK=<song> LADDER_LYRICS=<lyrics.txt> bash ladder.sh my_lora nar_lora_joint_v4.pt` — renders one fixed prompt from every checkpoint (optional `FINALS=<file>` with lines `tag style_track lyrics seed`). Pick by ear (ours: step 800).
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+ ## Decoder
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+ Consider decoding with [Mothersuperior/YuE2-Vae-merge-0.666](https://huggingface.co/Mothersuperior/YuE2-Vae-merge-0.666): a weight merge of
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+ YuE2-Vae (0.666) and YuE2-Vae-legacy (0.334). The two releases share one encoder and only differ in the decoder; the merge sits between the
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+ defaults perceptual cleanliness and the legacy decoders musicality. Drop-in: `YuE2Pipeline.from_pretrained("m-a-p/YuE2-3B", vae="Mothersuperior/YuE2-Vae-merge-0.666")`,
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+ or point `ar_generate.py` at it.
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+
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  ## Inference
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  ```bash
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  # new song: style caption with your trigger + lyrics, score-free