talking-avatar
Skill0 starsChanged 14 days agoMITView on GitHub
Route a talking-avatar job to the right backend — free local SadTalker, rented-GPU SadTalker, Hedra API, or HeyGen API — from budget, quality target, GPU/VRAM and language, and preflight the portrait + audio before any render. Use when an agent must turn a portrait and a script or voice track into a talking-head video, when choosing between avatar backends, when a SadTalker render fails on a cartoon face or a weak GPU, or when wiring German/Persian TTS for the voice track. Never default to one vendor: route first, with the bundled tool.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- Runware/runware-skillstheir own version, first seen Oct 15, 2026
- buildfastwithai/gen-ai-experimentstheir own version, first seen Oct 8, 2026
Other versions2 projects use a version of this.
Word for word · 0
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Wrote their own version · 2
- buildfastwithai/gen-ai-experiments★ 790same name
- Runware/runware-skills★ 8same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 50
Read the tool's reason field into your report — the user should see *why* this backend, not just which.
- Very specific: line 62
Respect the known pitfalls: Before rendering, read references/pitfalls.md: SadTalker needs human photographic faces (cartoon/fox/mask …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Talking-avatar router — pick the backend that fits, then prove the assets
Agents pick a talking-avatar backend by habit: one vendor's skill is installed, so every portrait becomes that vendor's render. The habit wastes money and time. A free local SadTalker run is right for a draft on a good GPU; a HeyGen render is right for studio quality with budget; a cartoon fox face fails on SadTalker no matter how good the GPU is; a 2GB laptop GPU makes local SadTalker a bad afternoon. This skill is the decision layer the single-vendor skills do not have: preflight the assets, route to the backend that fits, then render.
The contract
Preflight first, with the tool — never send a bad asset to a render. Run the bundled router (zero-dependency, Python stdlib only) on the final portrait and audio/script:
python3 scripts/avatar_route.py --image face.png --audio voice.wav \ --budget free --quality good --vram-gb 2 --gpu-vendor nvidia --lang de # or a JSON job file: python3 scripts/avatar_route.py --job job.jsonExit codes:
0= route decided ·1= preflight errors, no route (fix the asset, do not render) ·2= usage error.The preflight catches what wastes renders: missing/corrupt images, non-PNG/JPEG formats, sub-256px portraits, extreme aspect ratios,
10MB uploads, missing audio, over-long clips (>120s single clip is rejected by every backend). Warnings do not block; errors do.
Route by the table, never by habit. The tool applies this decision table (see
references/backends.md):Situation Route budget=free, NVIDIA ≥4GB VRAM sadtalker-local(512px)budget=free, NVIDIA 2GB (e.g. GeForce 930MX class) sadtalker-local256px — very slow; price cloud GPU as the alternativebudget=free, no/weak GPU no free route exists — say so honestly, offer sadtalker-cloud-gpu(cents-per-clip class)quality=studio, budget allows heygen-api, thenhedra-apistylized/cartoon/non-human face API route ( hedra-api/heygen-api) — SadTalker needs photographic human facesquick draft, any GPU cheapest feasible route, 256px Read the tool's
reasonfield into your report — the user should see why this backend, not just which.- Wire the voice in the script's language. German script →
German TTS voice, Persian script → Persian voice. Never synthesize a
German script with an English voice (umlauts/ß mispronounce, rhythm
breaks). Options: Piper (local, free —
thorstenfor de, fa voices for Persian), Edge-TTS (free, needs network), ElevenLabs (paid). Synthesize to WAV first, then re-run preflight on the WAV (--audio voice.wav) for an exact duration check. Details inreferences/tts.md. - Respect the known pitfalls. Before rendering, read
references/pitfalls.md: SadTalker needs human photographic faces (cartoon/fox/mask fails), pin a SadTalker commit (upstream quiet since 2024-06), audio over ~30s gets risky on low VRAM, commercial APIs bill per minute — always render a 5-second test clip first. - Know the limits — and say them. This skill routes and preflights; it does not render video and does not call any API. Cost tiers are indicative (documented Oct 2026) — always re-verify the live pricing page before spending, and say that you did. It does not generate the portrait or write the script. SadTalker install help is pointers, not a support contract.
Backends at a glance
- sadtalker-local — free, offline, CUDA/NVIDIA. Good 512px on 4GB+ VRAM; 256px-only and very slow on 2GB; human faces only.
- sadtalker-cloud-gpu — same free software on a rented RTX 4090-class pod; cents-per-clip class; good when the local GPU is too weak.
- hedra-api — commercial, expressive, handles stylized faces better; per-minute billing; needs API key.
- heygen-api — commercial, studio-grade lip sync, 1500+ stock avatars, voice cloning; per-minute billing; needs API key.
Full matrix, install pointers and pricing-page links:
references/backends.md. TTS voice wiring per language:
references/tts.md.
Reporting
Quote the tool's exit code and the chosen backend_id with its
reason. List every preflight error you fixed and every warning you
accepted. If budget=free produced no route, report that plainly —
do not silently upgrade the user to a paid backend.
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