Prepare isolated YuE2 music evaluation
This commit is contained in:
Mikei386
@@ -74,8 +74,9 @@ Titelgenerierung und Kontextkompression in Hermes.
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| Datum | Modell | Test | Ergebnis | Status / Entscheidung | Beleg |
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| Datum | Modell | Test | Ergebnis | Status / Entscheidung | Beleg |
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| 08.–10.09.2026 | `ACE-Step/acestep-v15-xl-sft` mit `acestep-5Hz-lm-1.7B`, offizielles ACE-Step-1.5-Image `sha256:95652cd780c78a1b1a7f6f0335530430f0ae53d96c7c12d59f9f39fa23d38567` | Mehrere Instrumentaltests bis 244 s; abschließender Kontrolllauf mit geladenem 1.7B-Planer, `thinking=True`, XL-SFT 4B, 80 Schritten, Guidance 8 und Shift 3 | technisch vollständig und schnell, aber wiederholt nur Geräusche/Krach oder musikalisch chaotische Ergebnisse; der letzte Lauf schließt einen bloß fehlenden Planer als Ursache aus | **qualitativ verworfen**; Container und Daten zunächst nur für den direkten HeartMuLa-A/B-Rückweg erhalten | Athena: `/data/music/acestep/`; [SPECIALIZED_MODEL_ROADMAP.md](SPECIALIZED_MODEL_ROADMAP.md) |
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| 08.–10.09.2026 | `ACE-Step/acestep-v15-xl-sft` mit `acestep-5Hz-lm-1.7B`, offizielles ACE-Step-1.5-Image `sha256:95652cd780c78a1b1a7f6f0335530430f0ae53d96c7c12d59f9f39fa23d38567` | Mehrere Instrumentaltests bis 244 s; abschließender Kontrolllauf mit geladenem 1.7B-Planer, `thinking=True`, XL-SFT 4B, 80 Schritten, Guidance 8 und Shift 3 | technisch vollständig und schnell, aber wiederholt nur Geräusche/Krach oder musikalisch chaotische Ergebnisse; der letzte Lauf schließt einen bloß fehlenden Planer als Ursache aus | **qualitativ verworfen**; nicht als Qualitätslösung weiterverfolgen | Athena: `/data/music/acestep/`; [SPECIALIZED_MODEL_ROADMAP.md](SPECIALIZED_MODEL_ROADMAP.md) |
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| 10.09.2026 | `HeartMuLa/HeartMuLa-oss-3B-happy-new-year` mit `HeartMuLa/HeartCodec-oss-20260123`, heartlib `3783bdb8441f2c298b1e64c8651173aac200361c` | Isolierter 20-s-Instrumentaltest mit offiziellen Standardwerten; HeartMuLa BF16 auf RTX 5080, HeartCodec FP32 auf RTX 3060 | Modell und Codec laden stabil; 20,08-s-Stereoausgabe in rund 19 s reiner Modell-/Codec-Zeit erzeugt, 48 kHz/24-Bit-PCM. Referenzaudio wird upstream noch nicht unterstützt, Instrumentalsteuerung ist experimentell | **technischer Test bestanden, Hörabnahme offen** | [heartmula-3b](../experiments/heartmula-3b/README.md); Athena: `/data/music/heartmula/heartmula-1789064239-b3f2ca75.wav` |
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| 10.09.2026 | `HeartMuLa/HeartMuLa-oss-3B-happy-new-year` mit `HeartMuLa/HeartCodec-oss-20260123`, heartlib `3783bdb8441f2c298b1e64c8651173aac200361c` | Mehrere Instrumentalversuche mit offiziellen Samplingwerten; HeartMuLa BF16 auf RTX 5080, HeartCodec FP32 auf RTX 3060 | technisch stabil und schnell, klanglich jedoch fast so unbrauchbar wie ACE-Step: Fantasiesprache trotz Instrumentalwunsch und gravierende Missachtung der Synthwave-/Synthpop-Stilvorgabe. Die lokale Test-UI hatte zusätzlich einen nicht upstream dokumentierten `[Instrumental]`-Marker verwendet | **qualitativ verworfen und vollständig entfernt**; Container, Image, Gewichte und Ausgaben am 10.09.2026 gelöscht | diese Tabelle; keine Laufzeitreste auf Athena |
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| 10.09.2026 | `m-a-p/YuE2-3B` mit `m-a-p/YuE2-Vae`, offizieller Release `yue2-v0.1.6` | Isolierter Kontrolltest vorbereitet: leere Lyrics, expliziter Instrumentalstil und vollständige symbolische Melodie-/Akkordplanung | Noch nicht gestartet. Gewichte und VAE sind vollständig geladen und anhand der veröffentlichten SHA-256-Manifeste geprüft; das gepinnte Test-Image und die manuelle Startdefinition sind fertig. Kein Container und keine GPU-Last durch YuE2 | **startbereit / Hörtest ausstehend**; Start nur nach ausdrücklicher Freigabe, keine Router- oder Dashboard-Integration | [yue2-3b](../experiments/yue2-3b/README.md) |
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## Audio-Trennung
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## Audio-Trennung
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@@ -1,22 +0,0 @@
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FROM pytorch/pytorch:2.9.1-cuda12.8-cudnn9-runtime
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ARG HEARTLIB_COMMIT=3783bdb8441f2c298b1e64c8651173aac200361c
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends git ffmpeg curl \
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&& rm -rf /var/lib/apt/lists/*
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RUN git clone https://github.com/HeartMuLa/heartlib.git /opt/heartlib \
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&& git -C /opt/heartlib checkout "${HEARTLIB_COMMIT}" \
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&& pip install --no-cache-dir -e /opt/heartlib \
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&& pip install --no-cache-dir gradio==5.49.1 uvicorn==0.35.0
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COPY app.py /opt/app/app.py
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WORKDIR /opt/app
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ENV PYTHONUNBUFFERED=1 \
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HEARTMULA_MODEL_PATH=/models/ckpt \
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HEARTMULA_OUTPUT_DIR=/output
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EXPOSE 7860
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CMD ["python", "/opt/app/app.py"]
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@@ -1,52 +0,0 @@
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# HeartMuLa 3B quality test
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Reversible A/B test of the public
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`HeartMuLa/HeartMuLa-oss-3B-happy-new-year` model with
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`HeartMuLa/HeartCodec-oss-20260123`.
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The model and codec are deliberately split across Athena's GPUs:
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- HeartMuLa BF16: RTX 5080 (`cuda:0` inside the container)
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- HeartCodec FP32: RTX 3060 (`cuda:1` inside the container)
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The public model does not yet support reference-audio conditioning. Pure
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instrumental generation is exposed as an explicitly experimental option.
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Generated files are lossless 48-kHz WAV files under `/data/music/heartmula`.
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The container intentionally has no `com.mike-ai.music-worker` label while it
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is being evaluated. This prevents it from conflicting with the production
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profile controller's single ACE-Step worker.
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## Checkpoints
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The expected persistent layout on Athena is:
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```text
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/data/models/heartmula/ckpt/
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├── HeartMuLa-oss-3B/
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├── HeartCodec-oss/
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├── gen_config.json
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└── tokenizer.json
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```
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## Test operation
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Only after the current music worker has been stopped:
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```sh
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cd /opt/mike-ai/heartmula-3b
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docker compose up -d heartmula-test
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docker compose logs -f heartmula-test
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```
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The temporary test UI listens locally on port `7863`. During the listening
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test it is proxied through Athena's existing WireGuard gateway; permanent
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dashboard/gateway integration is deliberately deferred until the audio has
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been accepted. Stop it with:
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```sh
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docker compose down
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```
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Do not remove ACE-Step or change the dashboard/profile controller until the
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A/B test has been accepted.
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@@ -1,148 +0,0 @@
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from __future__ import annotations
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import os
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import threading
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import time
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import uuid
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from pathlib import Path
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import gradio as gr
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import soundfile as sf
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import torch
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import uvicorn
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from fastapi import FastAPI
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from heartlib import HeartMuLaGenPipeline
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MODEL_PATH = os.environ.get("HEARTMULA_MODEL_PATH", "/models/ckpt")
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OUTPUT_DIR = Path(os.environ.get("HEARTMULA_OUTPUT_DIR", "/output"))
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MULA_DEVICE = os.environ.get("HEARTMULA_MULA_DEVICE", "cuda:0")
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CODEC_DEVICE = os.environ.get("HEARTMULA_CODEC_DEVICE", "cuda:1")
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OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
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pipeline: HeartMuLaGenPipeline | None = None
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load_error = ""
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generation_lock = threading.Lock()
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class AthenaHeartMuLaPipeline(HeartMuLaGenPipeline):
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"""Write 24-bit WAV directly; torch 2.9 otherwise requires TorchCodec."""
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def postprocess(self, model_outputs, save_path: str):
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frames = model_outputs["frames"].to(self.codec_device)
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wav = self.codec.detokenize(frames)
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self._unload()
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audio = wav.to(torch.float32).cpu().numpy().T
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sf.write(save_path, audio, 48_000, format="WAV", subtype="PCM_24")
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def load_pipeline() -> None:
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global pipeline, load_error
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try:
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pipeline = AthenaHeartMuLaPipeline.from_pretrained(
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MODEL_PATH,
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device={
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"mula": torch.device(MULA_DEVICE),
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"codec": torch.device(CODEC_DEVICE),
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},
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dtype={"mula": torch.bfloat16, "codec": torch.float32},
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version="3B",
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lazy_load=False,
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)
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except Exception as exc:
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load_error = f"{type(exc).__name__}: {exc}"
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raise
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def generate(
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tags: str,
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lyrics: str,
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instrumental: bool,
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duration_seconds: int,
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topk: int,
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temperature: float,
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cfg_scale: float,
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):
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if pipeline is None:
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raise gr.Error(f"Modell ist nicht bereit. {load_error}".strip())
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tags = ",".join(part.strip() for part in tags.split(",") if part.strip())
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if not tags:
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raise gr.Error("Bitte mindestens ein Musik-Tag angeben.")
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if instrumental:
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effective_lyrics = "[Instrumental]"
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else:
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effective_lyrics = lyrics.strip()
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if not effective_lyrics:
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raise gr.Error("Für ein Lied mit Gesang fehlt der Liedtext.")
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target = OUTPUT_DIR / f"heartmula-{int(time.time())}-{uuid.uuid4().hex[:8]}.wav"
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with generation_lock, torch.inference_mode():
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pipeline(
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{"lyrics": effective_lyrics, "tags": tags},
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max_audio_length_ms=int(duration_seconds) * 1000,
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save_path=str(target),
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topk=int(topk),
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temperature=float(temperature),
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cfg_scale=float(cfg_scale),
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)
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return str(target), (
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f"Fertig: {target.name} · WAV 48 kHz. "
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"Instrumental ist bei der öffentlichen 3B-Version experimentell."
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)
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with gr.Blocks(title="HeartMuLa 3B – Athena Test") as demo:
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gr.Markdown(
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"# HeartMuLa 3B – Athena Test\n"
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"Offizielles öffentliches 3B-Modell. HeartMuLa läuft auf der RTX 5080, "
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"HeartCodec verlustarm in FP32 auf der RTX 3060. "
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"Referenzaudio wird von dieser Version noch nicht unterstützt."
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)
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tags = gr.Textbox(
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label="Stil und Instrumente (Komma-getrennte Tags)",
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value="synthwave,retrowave,1980s,melodic,nostalgic,arpeggiated synthesizer,drum machine,atmospheric,cinematic",
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lines=3,
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)
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lyrics = gr.Textbox(
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label="Liedtext mit Abschnitten wie [Verse], [Chorus], [Bridge]",
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lines=14,
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placeholder="[Verse]\n...\n\n[Chorus]\n...",
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)
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instrumental = gr.Checkbox(label="Instrumental (experimentell)", value=True)
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duration = gr.Slider(20, 240, value=60, step=5, label="Maximale Dauer in Sekunden")
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with gr.Accordion("Sampling – offizielle Standardwerte", open=False):
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topk = gr.Slider(1, 200, value=50, step=1, label="Top-k")
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temperature = gr.Slider(0.1, 2.0, value=1.0, step=0.05, label="Temperatur")
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cfg_scale = gr.Slider(1.0, 4.0, value=1.5, step=0.1, label="CFG")
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run = gr.Button("Musik erzeugen", variant="primary")
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audio = gr.Audio(label="Ergebnis", type="filepath")
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status = gr.Textbox(label="Status", interactive=False)
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run.click(
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generate,
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inputs=[tags, lyrics, instrumental, duration, topk, temperature, cfg_scale],
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outputs=[audio, status],
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)
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demo.queue(default_concurrency_limit=1, max_size=4)
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api = FastAPI()
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@api.get("/healthz")
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def healthz():
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return {
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"ready": pipeline is not None,
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"error": load_error or None,
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"model": "HeartMuLa-oss-3B-happy-new-year",
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"codec": "HeartCodec-oss-20260123",
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"mula_device": MULA_DEVICE,
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"codec_device": CODEC_DEVICE,
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}
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api = gr.mount_gradio_app(api, demo, path="/")
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if __name__ == "__main__":
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load_pipeline()
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uvicorn.run(api, host="0.0.0.0", port=7860)
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@@ -1,39 +0,0 @@
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services:
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heartmula-test:
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build:
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context: .
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args:
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HEARTLIB_COMMIT: 3783bdb8441f2c298b1e64c8651173aac200361c
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image: mike-ai/heartmula:3b-3783bdb
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container_name: mike-ai-heartmula-test
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restart: "no"
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environment:
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NVIDIA_VISIBLE_DEVICES: "GPU-8ad38c6c-5a01-9d8e-1dfa-ed662ad78fbe,GPU-4834d9d7-5b61-3004-1fb3-4ae49d482d4b"
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NVIDIA_DRIVER_CAPABILITIES: compute,utility
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HEARTMULA_MULA_DEVICE: cuda:0
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HEARTMULA_CODEC_DEVICE: cuda:1
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volumes:
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- /data/models/heartmula:/models:ro
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- /data/music/heartmula:/output
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ports:
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- "127.0.0.1:7863:7860"
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networks:
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- frontend
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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healthcheck:
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test: ["CMD", "curl", "-fsS", "http://127.0.0.1:7860/healthz"]
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interval: 15s
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timeout: 5s
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retries: 20
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start_period: 180s
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networks:
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frontend:
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external: true
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name: mike-ai_frontend
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@@ -0,0 +1,17 @@
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FROM python:3.12-slim-bookworm
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ARG YUE2_COMMIT=9c6c4b349be978b06a9d0d958471a07a6cdeff4d
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends ca-certificates git libsndfile1 \
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&& rm -rf /var/lib/apt/lists/*
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RUN git clone https://github.com/multimodal-art-projection/YuE.git /opt/yue2 \
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&& git -C /opt/yue2 checkout "${YUE2_COMMIT}" \
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&& python -m pip install --no-cache-dir /opt/yue2
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WORKDIR /workspace
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ENV PYTHONUNBUFFERED=1 \
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YUE2_KIT=/workspace
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ENTRYPOINT ["yue2"]
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# YuE2 3B isolated quality test
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Prepared, non-starting evaluation of `m-a-p/YuE2-3B` with the standard
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`m-a-p/YuE2-Vae` listening decoder. The source is pinned to the official
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`yue2-v0.1.6` commit `9c6c4b349be978b06a9d0d958471a07a6cdeff4d`.
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Preparation on Athena is complete. The model and VAE files were checked
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against their published `weights_manifest.json` SHA-256 values. The Docker
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image is built, but no YuE2 container has been created or started.
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## Safety and isolation
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- This experiment is not part of the profile controller or dashboard.
|
||||||
|
- The Compose service uses the `manual` profile, has no restart policy and
|
||||||
|
cannot start through an ordinary `docker compose up`.
|
||||||
|
- Only the RTX 5080 is exposed to the container.
|
||||||
|
- Building and downloading do not load the model or use a GPU.
|
||||||
|
- Do not start it while another Athena GPU job is active.
|
||||||
|
|
||||||
|
## Persistent files
|
||||||
|
|
||||||
|
```text
|
||||||
|
/data/models/yue2/
|
||||||
|
├── YuE2-3B/
|
||||||
|
└── YuE2-Vae/
|
||||||
|
|
||||||
|
/data/music/yue2/
|
||||||
|
```
|
||||||
|
|
||||||
|
The initial control request is a true empty-lyrics instrumental request. No
|
||||||
|
invented `[Instrumental]` lyrics marker is used.
|
||||||
|
|
||||||
|
## Manual test (only after GPU availability was checked)
|
||||||
|
|
||||||
|
From `/opt/mike-ai/yue2-3b` on Athena:
|
||||||
|
|
||||||
|
```sh
|
||||||
|
docker compose --profile manual run --rm yue2-test generate \
|
||||||
|
--offline \
|
||||||
|
--device cuda:0 \
|
||||||
|
--budget 16 \
|
||||||
|
--request /workspace/requests/instrumental-synthwave.json \
|
||||||
|
--output /workspace/runs
|
||||||
|
```
|
||||||
|
|
||||||
|
Start with the official unquantized BF16 path. If and only if this fails from
|
||||||
|
VRAM pressure, repeat with `--quantization fp8 --offload-ar`; keep the outputs
|
||||||
|
separate because that is a different inference configuration.
|
||||||
|
|
||||||
|
YuE2 is newly released and officially specifies a 24-GB BF16 GPU. Readiness of
|
||||||
|
this image and the downloaded weights is not evidence that the 16-GB RTX 5080
|
||||||
|
run will fit or that its audio quality is acceptable.
|
||||||
@@ -0,0 +1,23 @@
|
|||||||
|
services:
|
||||||
|
yue2-test:
|
||||||
|
profiles: ["manual"]
|
||||||
|
build:
|
||||||
|
context: .
|
||||||
|
args:
|
||||||
|
YUE2_COMMIT: 9c6c4b349be978b06a9d0d958471a07a6cdeff4d
|
||||||
|
image: mike-ai/yue2:3b-0.1.6
|
||||||
|
restart: "no"
|
||||||
|
environment:
|
||||||
|
NVIDIA_VISIBLE_DEVICES: "GPU-8ad38c6c-5a01-9d8e-1dfa-ed662ad78fbe"
|
||||||
|
NVIDIA_DRIVER_CAPABILITIES: compute,utility
|
||||||
|
volumes:
|
||||||
|
- /data/models/yue2:/workspace/models:ro
|
||||||
|
- /data/music/yue2:/workspace/runs
|
||||||
|
- ./requests:/workspace/requests:ro
|
||||||
|
deploy:
|
||||||
|
resources:
|
||||||
|
reservations:
|
||||||
|
devices:
|
||||||
|
- driver: nvidia
|
||||||
|
device_ids: ["GPU-8ad38c6c-5a01-9d8e-1dfa-ed662ad78fbe"]
|
||||||
|
capabilities: [gpu]
|
||||||
@@ -0,0 +1,7 @@
|
|||||||
|
{
|
||||||
|
"id": "instrumental_synthwave_control",
|
||||||
|
"style": "Instrumental, synthwave, synth-pop, energetic, memorable lead melody, arpeggiated synthesizer, analog synthesizer, drum machine, driving bass, 118 BPM, no vocals",
|
||||||
|
"lyrics": "",
|
||||||
|
"cot": "full",
|
||||||
|
"seed": 831001
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user