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Generate lip-synced avatar video from text using OmniHuman v1.5. Use when creating talking-head or avatar videos.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Send and read emails via Gmail browser automation. Use when asked to send email or check inbox.
Schedule tasks using natural language time expressions. Use when asked to schedule a recurring or timed task.
Generate voice-over audio using OpenAI TTS. Use when creating narration or voice for videos.
Render videos using Remotion compositions. Use when creating or generating videos.
Research topics for video content creation. Use when researching ideas for videos.
Write video scripts with hooks, structure, and timing. Use when creating scripts for videos.
| name | avatar-video |
| description | Generate lip-synced avatar video from text using OmniHuman v1.5. Use when creating talking-head or avatar videos. |
| allowed-tools | ["Bash","Read","Write"] |
Generate lip-synced avatar videos from text using the OmniHuman v1.5 pipeline.
Text → TTS → Audio → CDN Upload → OmniHuman → Video → Post-Processing → Final Video
python video-pipeline/voice_generator.py "Your script text here" output/voice.mp3
Options:
--voice nova (default: nova)python video-pipeline/storage_manager.py output/voice.mp3 assets/avatar.png
Returns:
python video-pipeline/video_generator.py <audio_url> <image_url>
Returns:
OmniHuman v1.5 settings:
python video-pipeline/video_retriever.py <video_url> output/avatar.mp4
Add background music:
python video-pipeline/post_processor.py output/avatar.mp4 assets/music/bg.mp3 output/final.mp4
Options:
--music-volume 0.15 (15% volume, default)--trim-start 0 (trim seconds from start)--trim-end 0 (trim seconds from end)# Step 1: Generate voice
python video-pipeline/voice_generator.py "Hello! Welcome to my channel. Today I'm going to show you something amazing." output/voice.mp3 --voice nova
# Step 2: Upload to CDN (capture URLs)
URLS=$(python video-pipeline/storage_manager.py output/voice.mp3 assets/avatar.png)
AUDIO_URL=$(echo "$URLS" | grep audio | cut -d' ' -f2)
IMAGE_URL=$(echo "$URLS" | grep image | cut -d' ' -f2)
# Step 3: Generate video
VIDEO_URL=$(python video-pipeline/video_generator.py "$AUDIO_URL" "$IMAGE_URL")
# Step 4: Download
python video-pipeline/video_retriever.py "$VIDEO_URL" output/avatar.mp4
# Step 5: Add music
python video-pipeline/post_processor.py output/avatar.mp4 assets/music/background.mp3 output/final.mp4
For best results:
| Setting | Value |
|---|---|
| Resolution | 720p (1280x720) |
| FPS | 25 |
| Codec | H.264 |
| Audio | AAC 128kbps |
| Component | Cost |
|---|---|
| OpenAI TTS (1000 chars) | ~$0.015 |
| fal.ai OmniHuman (per video) | ~$0.10-0.50 |