Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Content Creation
Talking Head Production
Talking head video production with AI avatars, lipsync, and voiceover. Covers portrait requirements, audio quality, OmniHuman, PixVerse lipsync, Dia TTS. Use...
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Talking head video production with AI avatars, lipsync, and voiceover. Covers portrait requirements, audio quality, OmniHuman, PixVerse lipsync, Dia TTS. Use...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.5
Provenance
- Publisher
- okaris
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Talking Head Production
Create talking head videos with AI avatars and lipsync via inference.sh CLI.
Quick Start
curl -fsSL https://cli.inference.sh | sh && infsh login # Generate dialogue audio infsh app run falai/dia-tts --input '{ "prompt": "[S1] Welcome to our product tour. Today I will show you three features that will save you hours every week." }' # Create talking head video with OmniHuman infsh app run bytedance/omnihuman-1-5 --input '{ "image": "path/to/portrait.png", "audio": "path/to/dialogue.mp3" }' Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.
Portrait Requirements
The source portrait image is critical. Poor portraits = poor video output.
Must Have
RequirementWhySpecCenter-framedAvatar needs face in predictable positionFace centered in frameHead and shouldersBody visible for natural gesturesCrop below chestEyes to cameraCreates connection with viewerDirect frontal gazeNeutral expressionStarting point for animationSlight smile OK, not laughing/frowningClear faceModel needs to detect featuresNo sunglasses, heavy shadows, or obstructionsHigh resolutionDetail preservationMin 512x512 face region, ideally 1024x1024+
Background
TypeWhen to UseSolid colorProfessional, clean, easy to compositeSoft bokehNatural, lifestyle feelOffice/studioBusiness contextTransparent (via bg removal)Compositing into other scenes # Generate a professional portrait background infsh app run falai/flux-dev-lora --input '{ "prompt": "professional headshot photograph of a friendly business person, soft studio lighting, clean grey background, head and shoulders, direct eye contact, neutral pleasant expression, high quality portrait photography" }' # Or remove background from existing portrait infsh app run <bg-removal-app> --input '{ "image": "path/to/portrait-with-background.png" }'
Audio Quality
Audio quality directly impacts lipsync accuracy. Clean audio = accurate lip movement.
Requirements
ParameterTargetWhyBackground noiseNone/minimalNoise confuses lipsync timingVolumeConsistent throughoutPrevents sync driftSample rate44.1kHz or 48kHzStandard qualityFormatMP3 128kbps+ or WAVCompatible with all tools
Generating Audio
# Simple narration infsh app run falai/dia-tts --input '{ "prompt": "[S1] Hi there! I am excited to share something with you today. We have been working on a feature that our users have been requesting for months... and it is finally here." }' # With emotion and pacing infsh app run falai/dia-tts --input '{ "prompt": "[S1] You know what is frustrating? Spending hours on tasks that should take minutes. (sighs) We have all been there. But what if I told you... there is a better way?" }'
Model Selection
ModelApp IDBest ForMax DurationOmniHuman 1.5bytedance/omnihuman-1-5Multi-character, gestures, high quality~30s per clipOmniHuman 1.0bytedance/omnihuman-1-0Single character, simpler~30s per clipPixVerse Lipsyncfalai/pixverse-lipsyncQuick lipsync on existing videoShort clipsFabricfalai/fabric-1-0Cloth/fabric animation on portraitsShort clips
Basic: Portrait + Audio -> Video
# 1. Generate or prepare audio infsh app run falai/dia-tts --input '{ "prompt": "[S1] Your narration script here." }' # 2. Generate talking head infsh app run bytedance/omnihuman-1-5 --input '{ "image": "portrait.png", "audio": "narration.mp3" }'
With Captions
# 1-2. Same as above # 3. Add captions to the talking head video infsh app run infsh/caption-videos --input '{ "video": "talking-head.mp4", "caption_file": "captions.srt" }'
Long-Form (Stitched Clips)
For content longer than 30 seconds, split into segments: # Generate audio segments infsh app run falai/dia-tts --input '{"prompt": "[S1] Segment one script."}' --no-wait infsh app run falai/dia-tts --input '{"prompt": "[S1] Segment two script."}' --no-wait infsh app run falai/dia-tts --input '{"prompt": "[S1] Segment three script."}' --no-wait # Generate talking head for each segment (same portrait for consistency) infsh app run bytedance/omnihuman-1-5 --input '{"image": "portrait.png", "audio": "segment1.mp3"}' --no-wait infsh app run bytedance/omnihuman-1-5 --input '{"image": "portrait.png", "audio": "segment2.mp3"}' --no-wait infsh app run bytedance/omnihuman-1-5 --input '{"image": "portrait.png", "audio": "segment3.mp3"}' --no-wait # Merge all segments infsh app run infsh/media-merger --input '{ "media": ["segment1.mp4", "segment2.mp4", "segment3.mp4"] }'
Multi-Character Conversation
OmniHuman 1.5 supports up to 2 characters: # 1. Generate dialogue with two speakers infsh app run falai/dia-tts --input '{ "prompt": "[S1] So tell me about the new feature. [S2] Sure! We built a dashboard that shows real-time analytics. [S1] That sounds great. How long did it take? [S2] About two weeks from concept to launch." }' # 2. Create video with two characters infsh app run bytedance/omnihuman-1-5 --input '{ "image": "two-person-portrait.png", "audio": "dialogue.mp3" }'
Framing Guidelines
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ Headroom (minimal) โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ โ โ โ โ โ โ โ โ โ Eyes at 1/3 โ โโโ โ โ Eyes at top 1/3 line โ โ /|\ โ โ โ โ | Head & shoulders โ โ โ โ / \ visible โ โ โ โ โ โ โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โ โ Crop below chest โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Common Mistakes
MistakeProblemFixLow-res portraitBlurry face, poor lipsyncUse 1024x1024+ face regionProfile/side angleLipsync can't track mouth wellUse frontal or near-frontalNoisy audioLipsync drifts, looks unnaturalRecord clean or use TTSToo-long clipsQuality degrades after 30sSplit into segments, stitchSunglasses/obstructionFace features hiddenClear face requiredInconsistent lightingUncanny when animatedEven, soft lightingNo captionsLoses silent/mobile viewersAlways add captions
Related Skills
npx skills add inference-sh/skills@ai-avatar-video npx skills add inference-sh/skills@ai-video-generation npx skills add inference-sh/skills@text-to-speech Browse all apps: infsh app list
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md