Subchapter 27.7
references/operations.mdMarkdown14 KBView on GitHub
media-use resolves and remembers assets. For operating on them: cutting,
reframing, stitching, transforming, it does not wrap every action as a bespoke
command. Instead it points you at the right local tool (decision OP1). Run the
tool, then register the output with resolve --from <output> --type <type> so the
result lands in the ledger and the global cache like any other asset.
scripts/11 filesAlso bundled
GitignoreAll tools below are local and free. ffmpeg is assumed present (it backs the engine already).
ffmpeg -i in.mp4 -ss 00:00:12 -to 00:00:20 -c copy out.mp4 # 0:12–0:20, no re-encodeIn-composition trimming usually needs no new file: a clip plays a sub-window
via data-media-start + data-duration (see hyperframes-core). Only cut a
physical file when exporting/assembling outside the composition.
# 16:9 -> 9:16, crop centered
ffmpeg -i in.mp4 -vf "crop=ih*9/16:ih,scale=1080:1920" out.mp4For a non-destructive crop, set a clip-path on the element in the composition
itself (render-time, source file untouched) instead of re-encoding with ffmpeg.
printf "file '%s'\n" a.mp4 b.mp4 c.mp4 > list.txt
ffmpeg -f concat -safe 0 -i list.txt -c copy out.mp4auto-editor in.mp4 --edit audio:threshold=4% -o tight.mp4 # pip install auto-editor
scenedetect -i in.mp4 detect-adaptive list-scenes # pip install scenedetectThese have a local option AND a higher-quality HeyGen-CLI option. Run the local one for free/offline; use the HeyGen CLI when quality matters. Showing the user a side-by-side (local vs HeyGen) is the honest way to let them choose.
| Op | Local (free) | HeyGen CLI (quality) |
|---|---|---|
| Background removal | hyperframes remove-background in.png (u2net) | heygen background-removal |
| Upscale | realesrgan-ncnn-vulkan -i in.png -o out.png -s 4 | n/a |
| Lipsync (dub) | n/a | heygen lipsync |
| Translate | n/a | heygen video-translate |
After any op: resolve --from out.ext --type <type> to register the derived
asset (it records provenance and auto-promotes to the global cache).
ponytail: media-use doesn’t re-wrap ffmpeg/heygen here, that’s deliberate (OP1). The value it adds is the ledger + global reuse on the output, via
--from. Add a thinprocessverb only if agents repeatedly fumble these recipes.
Use the local processor when the requested look specifically calls for
Floyd-Steinberg, Atkinson/Macintosh, Jarvis-Judice-Ninke, Stucki, Burkes, or a
Sierra variant. These are sequential error-diffusion algorithms, not the
realtime Bayer effects.dither shader.
node <SKILL_DIR>/scripts/dither.mjs \
--input source.mp4 \
--out source.atkinson.mp4 \
--algorithm atkinson \
--palette '#0f380f,#306230,#8bac0f,#9bbc0f' \
--point-size 3
npx hyperframes media-use resolve \
--from source.atkinson.mp4 --type video --project .Available algorithms: floyd-steinberg, atkinson,
jarvis-judice-ninke, stucki, burkes, sierra, sierra-lite, and
two-row-sierra. The default is balanced Floyd-Steinberg with a black/white
palette. Palettes contain 2-6 #rrggbb colors in authored dark-to-light order;
reversing the order intentionally inverts the mapping. --point-size controls
1-20px blocks; --brightness and --contrast accept 0.5-2; --detail accepts
0.1-1.
The processor supports ordinary SDR images and MP4 video, preserves video audio, and emits BT.709 MP4. It rejects tagged PQ/HLG input rather than silently tone-mapping it. To animate the transformation, keep the original and processed files as two real media layers and use the seek-safe GSAP timeline to reveal or crossfade between them. Use the realtime Bayer shader instead when the dither amount itself must animate continuously.
transcribe.mjs is the default local transcription path. It runs NVIDIA
Parakeet-TDT via parakeet-mlx, which beats whisper.cpp on the Open ASR
Leaderboard (avg WER ~6.05% vs 7.44%; on NOISY audio 4.73% vs 5.96%, where
whisper-large-v3 hallucinated to 308% WER on meetings) and is 5-10x faster.
It emits { text, words:[{text,start,end}] } with word timestamps (merged from
Parakeet’s sub-word tokens), feeding transcript-cut, captions, and the audio
engine directly.
# install once: uv venv ~/.venvs/parakeet && VIRTUAL_ENV=~/.venvs/parakeet uv pip install parakeet-mlx
node <SKILL_DIR>/scripts/transcribe.mjs --input talk.mp4 --out talk.transcribe.json
# equivalently, the hyperframes CLI has Parakeet built in (auto-detects it, whisper fallback):
npx hyperframes transcribe talk.mp4 --engine parakeet # or --engine auto (default)VERIFIED on 24GB: accurate, ~3s (cached) for 8s audio. Parakeet covers English +
25 European languages. For other languages, or when parakeet-mlx is not
installed, transcribe.mjs auto-falls-back to whisper.cpp (99 languages) via
hyperframes transcribe. --engine parakeet|whisper forces one. (Cohere
Transcribe tops the leaderboard on paper but its mlx-audio quants produced
garbage and ran 40-70x slower on a Mac in testing, so it is not wired in.)
transcript-cut.mjs is a compiler, not a wrapper: it turns word timestamps and
agent cut decisions into exact kept segments. It is provided even though the rest
of this file is guidance-only.
node <SKILL_DIR>/scripts/transcript-cut.mjs \
--input talk.mp4 \
--transcript talk.transcribe.json \
--remove "12.41-15.02,88.3-91.7" \
--remove-fillers "um,uh,like" \
--cut-silence 0.8 \
--out talk.cut.mp4
resolve --from talk.cut.mp4 --type videoUse --plan first when you want to inspect the kept segment JSON before encoding.
B1, declare ducking in the composition. audio-duck.mjs emits a volume lane
as a data-automation attribute. Add it to the background <audio> element;
the source file stays untouched. Lane times are clip-local, so pass
--composition to let the script subtract the element’s data-start.
node <SKILL_DIR>/scripts/audio-duck.mjs \
--meta audio_meta.json \
--target "#bgm" \
--composition index.html<!-- auto-duck: #bgm under narration; add to its <audio> element -->
data-automation='{"version":1,"lanes":[{"target":"volume","points":[{"t":0,"v":0.6},{"t":3.42,"v":0.6},{"t":3.57,"v":0.15},{"t":9.87,"v":0.15},{"t":10.27,"v":0.6}]}]}'B2, bake ducking only for exported or standalone files.
ffmpeg -i bgm.mp3 -i voice.wav \
-filter_complex "[0][1]sidechaincompress=threshold=0.03:ratio=8:attack=200:release=400[ducked]" \
-map "[ducked]" bgm.ducked.wavDeclare inside compositions. Bake only for assets leaving the hyperframes pipeline.
Two-pass loudnorm measures first, then applies the measured values with the
target LUFS baked in.
Socials target, -14 LUFS:
ffmpeg -i mix.wav \
-af loudnorm=I=-14:TP=-1.5:LRA=11:print_format=json \
-f null -
ffmpeg -i mix.wav \
-af loudnorm=I=-14:TP=-1.5:LRA=11:measured_I=<input_i>:measured_TP=<input_tp>:measured_LRA=<input_lra>:measured_thresh=<input_thresh>:offset=<target_offset>:linear=true:print_format=summary \
mix.social.wavPodcast target, -16 LUFS:
ffmpeg -i mix.wav \
-af loudnorm=I=-16:TP=-1.5:LRA=11:print_format=json \
-f null -
ffmpeg -i mix.wav \
-af loudnorm=I=-16:TP=-1.5:LRA=11:measured_I=<input_i>:measured_TP=<input_tp>:measured_LRA=<input_lra>:measured_thresh=<input_thresh>:offset=<target_offset>:linear=true:print_format=summary \
mix.podcast.wavresolve --type image retrieves from the HeyGen catalog first; on a miss it
GENERATES. Two paths, best-for-the-machine picked automatically:
Local (default, free, private): mflux (FLUX-on-MLX). resolve spec-checks
AVAILABLE RAM and runs the best FLUX-class model that fits, via
scripts/lib/local-models.mjs (imagegen ladder) + mflux-provider.mjs.
The RAM ladder (agent sees it via describeModelLadder("imagegen", specs)):
| Tier | Model | Needs (available RAM) | Notes |
|---|---|---|---|
| medium | FLUX.1 schnell int4 | ~8GB (--low-ram) | ~20s/512px on 24GB. VERIFIED. Fast. |
| large | FLUX.2 Klein 4B int4 | ~32GB | higher quality, full-resident |
| xlarge | Qwen-Image | ~64GB | top quality, 64GB+ Macs only |
Gotchas baked into the table: the official FLUX repos are HF-gated, so it
points at non-gated community 4-bit re-uploads; and --low-ram is MANDATORY
at the medium tier (without it a 768x512 run swap-thrashed to 90 minutes on
24GB; with it, 20 seconds).
Cloud upsell (better quality): the codex CLI image_gen tool, on the
user’s ChatGPT subscription (codex owns auth, no key here, no per-call
charge). It is the automatic fallback when no local model fits AND the
explicit “make it better” choice on any machine. Users who just want codex
can ask for it directly. Verified: prompt -> raster -> frozen + ledgered.
--local-only keeps mflux (once cached) and skips codex (network).
resolve --type video "<intent>" is the default path. It generates a
script-driven HeyGen avatar video first (the free-usage allowance — OAuth
sessions ride the web-plan free avatar-video quota where eligible, API keys
follow normal API billing), falling back to local generative LTX only when
HeyGen is unavailable, uncredentialed, or --local-only is passed. The two
are non-substitutable outputs (a real presenter vs. a generic generative
clip), so treat the fallback as “HeyGen wasn’t reachable,” not “upgrade the
quality”:
heygenVideoGenerate (scripts/lib/heygen-video-provider.mjs) shells the
heygen CLI — never the raw API — auto-picking a public avatar and a
starfish voice (override with --avatar-id/--voice-id, threaded through
as ctx.avatarId/ctx.voiceId). If the CLI reports not_authenticated,
the provider prints an onboarding recommendation (avatar video is free for
new API users — sign in) to stderr and falls through to LTX instead of
hard-failing.dgrauet/ltx-2-mlx, the videogen
ladder in local-models.mjs (ltx-video-provider.mjs). Generative clips
(t2v), spec-gated to RAM. Verified on 24GB: 512x320 x 33f with audio.Every generating heygen call from media-use — TTS, avatar video, and
catalog search — sends the allowlisted X-HeyGen-Client-Source: media-use
header (persistent flag, works on every subcommand) via the shared
HEYGEN_CLIENT_SOURCE_ARGV constant (scripts/lib/heygen-cli.mjs), so usage
tags correctly in billing/resource meta and shows up in the API dashboards.
Read-only discovery (avatar list, voice list) doesn’t need it.
For structured bodies resolve --type video doesn’t expose yet (a specific
avatar_id/voice_id combination beyond the ctx overrides, or a
pre-recorded audio_url instead of a script), the raw heygen video create
recipe below remains the escape hatch:
# discover an avatar + a starfish voice, then create + wait
heygen avatar list --ownership public --limit 5
heygen voice list --engine starfish --limit 5
heygen video create --headers "X-HeyGen-Client-Source: media-use" --wait -d '{
"type": "avatar",
"avatar_id": "<avatar-id>",
"script": "Your narration here.",
"voice_id": "<voice-id>"
}'Avatar videos are deterministic + script-driven (lip-sync from a script or a
pre-recorded audio_url), distinct from the generative LTX clips. After a
manual recipe renders, resolve --from <downloaded.mp4> --type video to
ledger it (not needed when generating via resolve --type video directly —
that already ledgers the result).
Not wired into resolve --type video (deferred — the avatar type covers
the default script-driven case). heygen video create takes the raw
POST /v3/videos body, so switching type
from avatar to image animates any image of a person into a lip-synced
talking video, with no avatar/photo-avatar creation step first. Point image at a
public URL or an uploaded asset_id, and drive speech with a script+voice_id
or a pre-recorded audio_url:
heygen video create --headers "X-HeyGen-Client-Source: media-use" --wait -d '{
"type": "image",
"image": { "type": "url", "url": "https://example.com/person.jpg" },
"script": "Your narration here.",
"voice_id": "<voice-id>"
}'Common optional fields: title, resolution (4k/1080p/720p),
aspect_ratio, remove_background, background, voice_settings,
motion_prompt + expressiveness (photo-avatar animation), and
callback_url/callback_id for webhooks. Don’t hardcode these from memory: the
CLI self-documents the full, current body with
heygen video create --request-schema (a discriminated union keyed on type),
so read the schema rather than trusting a stale field list. For a still you’ll
reuse across many scripts, create a reusable Photo Avatar once instead
(heygen avatar create). Ledger the result with
resolve --from <downloaded.mp4> --type video. Docs:
https://developers.heygen.com/image-to-video (opens in a new tab).
HEVC/H.265 sources need no conversion for render (FFmpeg pre-decodes all
input video) or for preview (auto-proxy transcodes and caches an H.264
copy on first use, disable with --no-proxy or media.autoProxy: false in
hyperframes.json). A manual H.264 proxy via ffmpeg -i in.mp4 -c:v libx264 -crf 18 proxy.mp4, registered with resolve --from, remains available for
edge cases (e.g. auto-proxy disabled, or ffmpeg unavailable at preview time).