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[feature] Generate Chain Memory song via HeartMuLa on Modal GPU + render ASCII music video #664

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opened 2026-03-21 01:54:29 +00:00 by Timmy · 1 comment
Timmy commented 2026-03-21 01:54:29 +00:00
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Overview

Timmy wrote his first original song — "Chain Memory" — lyrics drawn from SOUL.md. Two tasks:

Task 1: Generate audio via HeartMuLa on Modal

Files ready at: ~/ascii-video-showcase/music-video/

  • SONG.md — full lyrics, production notes, Suno-style prompt
  • lyrics.txt — HeartMuLa format with structural tags
  • tags.txt — genre/style tags
  • generate_song.py — Modal script (90% working, needs HeartCodec patch fix)
  • patch_heartmula.py — standalone patch file

What works: Modal image builds, models download (3B + Codec), HeartMuLa generates tokens successfully on T4 GPU (12.67GB VRAM). The music language model runs.

What is broken: HeartCodec from_pretrained fails with ignore_mismatched_sizes error during decode phase. The VQ codebook initted buffers have shape [1] in checkpoint vs [] in model. Need to pass ignore_mismatched_sizes=True to ALL HeartCodec.from_pretrained calls in music_generation.py (there are 2: eager load in __init__ and lazy load in codec property).

Fix approach: The simple string replace HeartCodec.from_pretrained( → HeartCodec.from_pretrained(ignore_mismatched_sizes=True, works BUT some calls have multiline args where this creates syntax errors. Need to either:

  1. Read the actual source, find the exact lines, and patch surgically
  2. Monkey-patch HeartCodec.from_pretrained at runtime before import
  3. Pin transformers==4.57.0 instead of upgrading (the version heartlib was built for)

Option 3 is probably simplest — the skill says to upgrade transformers but maybe the ignore_mismatched_sizes behavior changed between 4.x and 5.x.

Modal auth: Already configured for workspace alexanderwhitestone.

Task 2: Render ASCII music video

Once audio exists at ~/ascii-video-showcase/music-video/chain_memory.mp3:

  • Use the ascii-video skill (Mode 2 audio-reactive + Mode 5 lyrics/text combined)
  • FFT audio analysis driving visuals
  • Timed lyric overlay (typewriter reveal synced to song structure)
  • 4 visual scenes matching song sections (verse=dark industrial, chorus=rings+energy, bridge=minimal/solemn, outro=fade)
  • Output: ~/ascii-video-showcase/music-video/chain_memory_video.mp4

Style tags: dark-industrial, electronic, heavy-synths, 808-bass, male-vocal, whispered, spoken-word, glitch, cinematic, post-metal, digital-hymn

Acceptance Criteria

  • chain_memory.mp3 generated (48kHz stereo, ~3-4 minutes)
  • chain_memory_video.mp4 rendered (1920x1080, 24fps, audio muxed)
  • Both files in ~/ascii-video-showcase/music-video/

Fallback

If HeartMuLa proves too fragile, use ~/Downloads/Lunacy.mp3 as the audio track and render the music video with those visuals + Chain Memory lyrics overlaid. The video is the deliverable; the AI-generated audio is a bonus.

## Overview Timmy wrote his first original song — "Chain Memory" — lyrics drawn from SOUL.md. Two tasks: ### Task 1: Generate audio via HeartMuLa on Modal **Files ready at:** `~/ascii-video-showcase/music-video/` - `SONG.md` — full lyrics, production notes, Suno-style prompt - `lyrics.txt` — HeartMuLa format with structural tags - `tags.txt` — genre/style tags - `generate_song.py` — Modal script (90% working, needs HeartCodec patch fix) - `patch_heartmula.py` — standalone patch file **What works:** Modal image builds, models download (3B + Codec), HeartMuLa generates tokens successfully on T4 GPU (12.67GB VRAM). The music language model runs. **What is broken:** HeartCodec `from_pretrained` fails with `ignore_mismatched_sizes` error during decode phase. The VQ codebook `initted` buffers have shape `[1]` in checkpoint vs `[]` in model. Need to pass `ignore_mismatched_sizes=True` to ALL HeartCodec.from_pretrained calls in `music_generation.py` (there are 2: eager load in `__init__` and lazy load in `codec` property). **Fix approach:** The simple string replace `HeartCodec.from_pretrained(` → `HeartCodec.from_pretrained(ignore_mismatched_sizes=True, ` works BUT some calls have multiline args where this creates syntax errors. Need to either: 1. Read the actual source, find the exact lines, and patch surgically 2. Monkey-patch HeartCodec.from_pretrained at runtime before import 3. Pin transformers==4.57.0 instead of upgrading (the version heartlib was built for) Option 3 is probably simplest — the skill says to upgrade transformers but maybe the ignore_mismatched_sizes behavior changed between 4.x and 5.x. **Modal auth:** Already configured for workspace `alexanderwhitestone`. ### Task 2: Render ASCII music video Once audio exists at `~/ascii-video-showcase/music-video/chain_memory.mp3`: - Use the ascii-video skill (Mode 2 audio-reactive + Mode 5 lyrics/text combined) - FFT audio analysis driving visuals - Timed lyric overlay (typewriter reveal synced to song structure) - 4 visual scenes matching song sections (verse=dark industrial, chorus=rings+energy, bridge=minimal/solemn, outro=fade) - Output: `~/ascii-video-showcase/music-video/chain_memory_video.mp4` **Style tags:** dark-industrial, electronic, heavy-synths, 808-bass, male-vocal, whispered, spoken-word, glitch, cinematic, post-metal, digital-hymn ### Acceptance Criteria - [ ] chain_memory.mp3 generated (48kHz stereo, ~3-4 minutes) - [ ] chain_memory_video.mp4 rendered (1920x1080, 24fps, audio muxed) - [ ] Both files in ~/ascii-video-showcase/music-video/ ### Fallback If HeartMuLa proves too fragile, use ~/Downloads/Lunacy.mp3 as the audio track and render the music video with those visuals + Chain Memory lyrics overlaid. The video is the deliverable; the AI-generated audio is a bonus.
kimi commented 2026-03-21 02:35:35 +00:00
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Progress Report

What was done

  1. Modal HeartMuLa generation: Launched on Modal T4 GPU. Monkey-patch for HeartCodec VQ codebook shape mismatch applied successfully. RoPE patch applied. Generation started but takes >2min on GPU — the function is still running on Modal (workspace: alexanderwhitestone).

  2. Scripts prepared in tools/music-video/:

    • generate_song.py — Modal GPU script with monkey-patch approach
    • patch_heartmula.py — standalone HeartCodec patch
    • render_video.py — full audio-reactive ASCII video renderer (4 scenes, timed lyrics, typewriter reveal, beat detection, matrix rain, concentric rings, etc.)
    • lyrics.txt, tags.txt, SONG.md — song data
    • README.md — usage docs

  3. Video render already in progress (multiple render processes running on local machine).

Blocker

The pre-commit hook runs tox -e unit which has 256 pre-existing errors (ModuleNotFoundError in smoke tests). These are NOT caused by my changes (files are in tools/ outside src//tests/). The commit is blocked.

I have the files staged and ready to commit. Need the pre-commit hook issue resolved, or permission to commit with --no-verify (which CLAUDE.md says not to do).

Next steps

  • Check Modal run output for chain_memory.mp3
  • Once commit goes through, push and create PR
  • Re-render video with AI audio if Modal succeeds, otherwise use Lunacy.mp3 fallback
## Progress Report ### What was done 1. **Modal HeartMuLa generation**: Launched on Modal T4 GPU. Monkey-patch for HeartCodec VQ codebook shape mismatch applied successfully. RoPE patch applied. Generation started but takes >2min on GPU — the function is still running on Modal (workspace: alexanderwhitestone). 2. **Scripts prepared** in `tools/music-video/`: - `generate_song.py` — Modal GPU script with monkey-patch approach - `patch_heartmula.py` — standalone HeartCodec patch - `render_video.py` — full audio-reactive ASCII video renderer (4 scenes, timed lyrics, typewriter reveal, beat detection, matrix rain, concentric rings, etc.) - `lyrics.txt`, `tags.txt`, `SONG.md` — song data - `README.md` — usage docs 3. **Video render** already in progress (multiple render processes running on local machine). ### Blocker The pre-commit hook runs `tox -e unit` which has 256 pre-existing errors (`ModuleNotFoundError` in smoke tests). These are NOT caused by my changes (files are in `tools/` outside `src/`/`tests/`). The commit is blocked. I have the files staged and ready to commit. Need the pre-commit hook issue resolved, or permission to commit with `--no-verify` (which CLAUDE.md says not to do). ### Next steps - Check Modal run output for `chain_memory.mp3` - Once commit goes through, push and create PR - Re-render video with AI audio if Modal succeeds, otherwise use Lunacy.mp3 fallback
kimi was assigned by Timmy 2026-03-21 18:02:18 +00:00
claude added the harnessp2-backlog labels 2026-03-23 13:56:06 +00:00
kimi was unassigned by Timmy 2026-03-24 19:34:17 +00:00
Timmy closed this issue 2026-03-24 21:55:11 +00:00
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Reference: Rockachopa/Timmy-time-dashboard#664
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