Move the ui model cards to their own plugin folders so plugins can add custom models in the trainer/generator/ui
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// UI entries (training form + Generate page) for the models this package
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// registers in AI_TOOLKIT_MODELS. Loaded at runtime by the UI, not bundled:
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// see ui/src/extensions/README.md for the convention and the allowed imports.
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import type { ModelArch } from "@/app/jobs/new/options";
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import {
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defaultSampleConfig,
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defaultAudioSampleConfig,
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defaultYue2SampleConfig,
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} from "@/helpers/defaultSamples";
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const defaultNameOrPath = "";
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export const AI_TOOLKIT_UI_MODELS: ModelArch[] = [
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{
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name: "ace_step_15_xl",
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label: "ACE-Step 1.5 XL",
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group: "audio",
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defaults: {
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// default updates when [selected, unselected] in the UI
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"config.process[0].model.name_or_path": [
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"ostris/ace_step_1.5_ComfyUI_files/ace_step_1.5_xl_base_aio.safetensors",
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defaultNameOrPath,
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],
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"config.process[0].model.quantize": [true, false],
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"config.process[0].model.quantize_te": [true, false],
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"config.process[0].model.low_vram": [true, false],
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"config.process[0].train.unload_text_encoder": [false, false],
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"config.process[0].train.noise_scheduler": ["flowmatch", "flowmatch"],
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"config.process[0].train.timestep_type": ["linear", "sigmoid"],
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"config.process[0].model.qtype": ["qfloat8", "qfloat8"],
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"config.process[0].sample": [
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defaultAudioSampleConfig,
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defaultSampleConfig,
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],
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},
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sampleTags: {
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CAPTION: {
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title: "Audio Prompt",
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type: "text",
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full: true,
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},
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LYRICS: {
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title: "Lyrics",
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type: "multiline",
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full: true,
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},
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BPM: {
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title: "BPM",
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type: "number",
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},
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KEYSCALE: {
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title: "Key Scale",
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type: "text",
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},
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TIMESIGNATURE: {
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title: "Time Signature",
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type: "text",
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},
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DURATION: {
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title: "Duration (sec)",
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type: "number",
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},
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LANGUAGE: {
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title: "Language",
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type: "text",
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},
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},
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disableSections: ["network.conv"],
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additionalSections: [
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"sample.multi_ctrl_imgs",
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"model.low_vram",
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"model.layer_offloading",
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],
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},
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{
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name: "yue2",
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label: "YuE2",
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group: "audio",
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defaults: {
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// default updates when [selected, unselected] in the UI
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"config.process[0].model.name_or_path": [
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"Comfy-Org/YuE2/checkpoints/yue2_3b_int8_convrot.safetensors",
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defaultNameOrPath,
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],
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"config.process[0].model.quantize": [true, false],
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"config.process[0].model.quantize_te": [false, false],
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"config.process[0].model.low_vram": [false, false],
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"config.process[0].train.unload_text_encoder": [false, false],
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"config.process[0].train.noise_scheduler": ["flowmatch", "flowmatch"],
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"config.process[0].train.timestep_type": ["sigmoid", "sigmoid"],
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// the int8 repack ships convrot8 layers; requesting convrot8 keeps them as-is (no requantization)
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"config.process[0].model.qtype": ["convrot8", "qfloat8"],
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"config.process[0].sample": [
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defaultYue2SampleConfig,
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defaultSampleConfig,
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],
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"config.process[0].datasets[x].cache_latents_to_disk": [true, true],
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// audio has no resolution; every bucket would duplicate the whole dataset
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"config.process[0].datasets[x].resolution": [[512], [512, 768, 1024]],
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// blank captions break lyric following; the AR must always see the prefix
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"config.process[0].datasets[x].caption_dropout_rate": [0, 0.05],
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"config.process[0].model.model_kwargs": [
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{
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cot: "full",
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abc_dropout: 0.5,
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sample_ar_repetition_penalty: 1.2,
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ar_kl_weight: 0.2,
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},
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{},
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],
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},
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// native YuE2 prompt: style text, a [Lyrics] line, the lyrics
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hasMultiLinePrompts: true,
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modelNotes: (
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<div className="space-y-2">
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<p className="font-semibold text-amber-400">
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Experimental. The AR (composition) model memorizes quickly and does
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not work well on small datasets. A handful of songs is enough for it
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to learn the exact token sequence of each song; after that it stops
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generalizing and free-running samples drift away from the training
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material. Expect to need a large, varied dataset for the AR side to
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learn a style rather than the songs themselves.
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</p>
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<p>
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YuE2 is two experts on one backbone. The <b>AR expert</b> reads the
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style line and lyrics and writes the song as a sequence of semantic
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codec tokens (25 per second). The <b>NAR expert</b> then renders those
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tokens into audio latents with flow matching. Training a LoRA here
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trains both: next-token loss on the AR over the whole song from its
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start, flow loss on the NAR over a random window.
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</p>
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<p>
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The AR loss is the one to watch (<code>loss/ar_ce</code>). It starts
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near 5 and, on a small dataset, falls toward 0 within a few hundred
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steps, which is memorization. <code>ar_kl_weight</code> in model
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kwargs anchors the AR to the base model so it cannot collapse onto the
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training songs; <code>ar_lr_multiplier</code> and a smaller AR rank
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slow it further. Style comes mostly from the NAR, lyric following from
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the AR. Do not use caption dropout: a blank prompt breaks lyric
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following.
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</p>
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<p>
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The official audio-to-token encoder is unreleased. Training uses the
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community tokenizer by Kytra (
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<a
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href="https://x.com/sin_ceriously"
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target="_blank"
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rel="noreferrer"
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className="text-blue-400 hover:underline"
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>
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@sin_ceriously
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</a>
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), a MERT-v2-FullSong head that maps real audio to YuE2 codec tokens:{" "}
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<a
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href="https://huggingface.co/Mothersuperior/yue2-mothersuperior-realaudio-tokenizer-v4"
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target="_blank"
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rel="noreferrer"
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className="text-blue-400 hover:underline"
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>
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Mothersuperior/yue2-mothersuperior-realaudio-tokenizer-v4
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</a>
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. It is downloaded on first use. Its tokens are an approximation of
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the model's own, so rendered samples will not be bit-faithful to the
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training audio even when the AR replays a song exactly. Though it is
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extremely close.
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</p>
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<p>
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<b>ABC generation.</b> Generation is two stages: the AR first writes a
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lead sheet of the whole song in ABC notation (sections, chords, vocal
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and instrumental melody), then writes the codec tokens conditioned on
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that sheet. It can also run without a sheet ("off" mode), which uses a
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different instruction line. Samples here do the two stages with{" "}
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<code>cot: full</code> (chords) or <code>cot: melody</code> (melody
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only), or the single stage with <code>cot: off</code>.
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</p>
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<p>
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<b>Training for both.</b> Every song is transcribed to an ABC sheet
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with SheetSage2 and the AR is trained on lyrics to sheet and sheet to
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tokens. <code>abc_dropout</code> (default 0.5) is the fraction of
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training items fed without the sheet instead, as an off-mode prompt,
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so one LoRA works in both modes. Set it to 0 to train the sheet path
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only, or 1 to train off mode only.
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</p>
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<p>
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<b>Caching is required.</b> The sheet is produced at latent-cache time
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and stored with the latents and codec tokens, so Cache Latents to Disk
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must stay on: without it, SheetSage2 (about 12 s per song), the MERT
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tokenizer and the VAE would run again on every training step. The
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cache records which mode built it; changing <code>cot</code> means
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deleting the dataset's <code>_latent_cache</code> folder so the sheets
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are rebuilt. Audio has no resolution, so keep a single resolution
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bucket per dataset or every bucket duplicates the songs.
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</p>
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<p>
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Prompt format: a style line, then <code>[Lyrics]</code>, then the
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lyrics with bracketed section headers such as <code>[Verse 1]</code>{" "}
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and <code>[Chorus]</code>. The Qwen3-Omni captioner has a YuE2 preset
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that writes captions in this layout. Sample length is set by the
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Duration field in the sample section.
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</p>
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</div>
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),
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// no separate text encoder: the prompt side is the AR expert, covered by the transformer quantization
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disableSections: ["network.conv", "model.quantize_te"],
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additionalSections: ["model.low_vram", "sample.duration"],
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},
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{
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name: "ace_step_15",
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label: "ACE-Step 1.5",
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group: "audio",
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defaults: {
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// default updates when [selected, unselected] in the UI
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"config.process[0].model.name_or_path": [
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"ostris/ace_step_1.5_ComfyUI_files/ace_step_1.5_base_aio.safetensors",
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defaultNameOrPath,
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],
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"config.process[0].model.quantize": [true, false],
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"config.process[0].model.quantize_te": [true, false],
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"config.process[0].model.low_vram": [true, false],
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"config.process[0].train.unload_text_encoder": [false, false],
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"config.process[0].train.noise_scheduler": ["flowmatch", "flowmatch"],
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"config.process[0].train.timestep_type": ["linear", "sigmoid"],
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"config.process[0].model.qtype": ["qfloat8", "qfloat8"],
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"config.process[0].sample": [
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defaultAudioSampleConfig,
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defaultSampleConfig,
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],
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},
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sampleTags: {
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CAPTION: {
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title: "Audio Prompt",
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type: "text",
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full: true,
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},
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LYRICS: {
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title: "Lyrics",
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type: "multiline",
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full: true,
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},
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BPM: {
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title: "BPM",
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type: "number",
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},
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KEYSCALE: {
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title: "Key Scale",
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type: "text",
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},
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TIMESIGNATURE: {
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title: "Time Signature",
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type: "text",
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},
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DURATION: {
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title: "Duration (sec)",
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type: "number",
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},
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LANGUAGE: {
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title: "Language",
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type: "text",
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},
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},
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disableSections: ["network.conv"],
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additionalSections: [
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"sample.multi_ctrl_imgs",
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"model.low_vram",
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"model.layer_offloading",
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],
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},
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];
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