elumenotion/guideants/talking-head

Claude Code and agent skill by elumenotion/guideants

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Make a talking-head MP4 on Max: avatar + audio + plate → 416×256 LongCat-Video-Avatar-1.5, CorridorKey @ 416×234, BasicVSR++ FG, 1280×720. Submit with video_tool.py, then poll status on later sandbox calls.

Install

npx vskill@latest install elumenotion/guideants/talking-head

SKILL.md

Talking-head

This is the only talking-head skill. Avatar + audio + background plate → 1280×720 MP4.

One adapter job: LongCat-Video-Avatar-1.5 at 416×256 → crop 416×234 → CorridorKey @ native → BasicVSR++ 4× on keyed FG → 720p. Plate blur σ=1.5 before CK; FG sharpen 0.

The adapter workflow id is still infinitetalk-i2v-v1. Do not invent a different workflow name. Generation inside that graph is LongCat-Video-Avatar-1.5 (Whisper-large-v3, 8-step DMD distill).

Sandbox CWD is the notebook output directory. Scripts: Skills/talking-head/scripts/. Write the MP4 with a bare filename (-o talking-head.mp4). Never prefix -o with Output/.

Do not invent a POST. scripts/video_tool.py submits: files source / audio / background; form field parameters is one JSON object. Do not pass --width --height --steps --cfg --fps unless the user explicitly asks to deviate. Do not call ComfyUI /free. Do not start a second job while this one runs. Do not cancel CorridorKey frame 0. V2V is not available.

Environment

Scripts read TALKING_HEAD_SKILL_BASE_URL and TALKING_HEAD_SKILL_TOKEN from the guide Environment. Do not hardcode or export them inline.

bash
printenv TALKING_HEAD_SKILL_BASE_URL >/dev/null && printenv TALKING_HEAD_SKILL_TOKEN >/dev/null && echo "env ok" || echo "env missing"

If either is missing, stop and ask the user to set them. Never scan the LAN.

Contract: references/parameters.md. Stages and measured times: references/workflows.md.

How long this takes (measured)

A sandbox script call is killed after about 10 minutes. These jobs last much longer than that. `i2v` submits and exits. You poll status on later calls.

The adapter sets frames from audio duration at 25 fps (max 7200). Times below are InfiniteTalk 4-step clips at 10.56s / 264 frames. LongCat-Video-Avatar-1.5 is 8-step distill on a larger DiT; sampling will take longer than this table. Keep polling until state is completed or failed.

LogjobId prefixelapsed
ac-t3-gray-t-…-plateblur-pipeline.loga217a4bd1626s
ac-t3-blue-t-two-arms-…-plateblur-pipeline.logfaf6d5a42273s (CK 973s, VSR 402s)
ac-t3-service-pipeline.log902fc1493114s
ac-t3-blue-shirt-pipeline.log—3341s

That is already 27–56 minutes for ten seconds of audio on the old generator. After CK frame 0, telemetry is ~2.6s/frame (frame_elapsed_s: 2.6). Frame 0 itself is often 30s–4 min (red first frame 216s). More audio → more frames → longer wall time. An 80s wav is 2000 frames. Do not treat an hour as finished or stuck.

1. Preflight

bash
python3 Skills/talking-head/scripts/preflight.py --for i2v

Open when: gateway up, ready, composite_ready, infinitetalk-i2v-v1 listed. Do not fail because fg_upscaler / canvas keys are absent. If those keys are present, they must be basicvsrpp and 1280×720. If open is false, quote blockers and stop. If ready is false after the LongCat weight install, the bundle is still downloading; quote blockers and stop.

2. Submit (returns immediately)

Inputs must be inside the notebook. Use the paths the user actually has.

bash
python3 Skills/talking-head/scripts/video_tool.py i2v \
--avatar uploads/avatar.png \
--audio uploads/voice.wav \
--background uploads/plate.png \
-o talking-head.mp4

CLI defaults (do not add flags): width=416 height=256 steps=8 cfg=1 fps=25 seed=-1 audio-pad=0.5. The input .wav is padded with 0.5 s of digital silence head + tail (written as <output-stem>-padded-audio.wav inside the notebook) before upload; frames = padded seconds × 25 (e.g. 51.404 s audio -> 52.404 s -> 1310 frames). Stderr logs seed= and jobId=. Stdout is one JSON object (jobId, seed, outputPath, runMetaPath). Writes talking-head-run-meta.json. This call does not wait for the MP4.

3. Poll on later sandbox calls

One wait + one status per call. Do not loop until done inside a single script.

bash
sleep 60 && python3 Skills/talking-head/scripts/video_tool.py status <job_id>

job_id is 32 lowercase hex characters. Read state (and progress.phase / message when present):

  • queued / uploading / waiting / sampling / compositing → wait ~60s, poll again
  • completed → download
  • failed / cancelled → stop and quote error. Do not call i2v again.

That redoes LongCat generation and discards green.mkv. Post-CorridorKey failures retry from saved EXRs (--clip-root) inside the adapter; keep polling while state is still compositing. Terminal failed after that retry is a stop.

Tell the user the phase and any frame counts from status. CorridorKey frame 0 can sit with no new frames for minutes. That is compile, not a hang. Do not cancel. Do not submit again.

4. Download

bash
python3 Skills/talking-head/scripts/video_tool.py result <job_id> -o talking-head.mp4

Cancel only if the user asks:

bash
python3 Skills/talking-head/scripts/video_tool.py cancel <job_id>

Reporting

jobId, resolved seed, last state/phase, output path when downloaded, preflight evidence if blocked. Delivery is 1280×720 H.264.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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