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AI Content Pipeline

ai-content-pipeline

Build multi-step AI content creation pipelines combining image, video, audio, and text. Workflow examples: generate image -> animate -> add voiceover -> merge with music. Tools: FLUX, Veo, Kokoro TTS, OmniHuman, media merger, upscaling. Use for: YouTube videos, social media content, marketing materials, automated content. Triggers: content pipeline, ai workflow, content creation, multi-step ai, content automation, ai video workflow, generate and edit, ai content factory, automated content creation, ai production pipeline, media pipeline, content at scale

inference-sh/skills986installs760starsMarketing

SKILL.md

Full skill instructions

Install the belt CLI skill: npx skills add belt-sh/​cli

AI Content Pipeline

Build multi-step content creation pipelines via inference.sh CLI.

AI Content Pipeline

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Simple pipeline: Generate image -> Animate to video
belt app run falai/​flux-dev --input '{"prompt": "portrait of a woman smiling"}' > image.json
belt app run falai/​wan-2-5-i2v --input '{"image": "<url-from-previous>", "prompt": "slow camera push-in"}'

Pipeline Patterns

Pattern 1: Image -> Video -> Audio

[FLUX Image] -> [Wan 2.5 Video] -> [Foley Sound]

Pattern 2: Script -> Speech -> Avatar

[LLM Script] -> [Kokoro TTS] -> [OmniHuman Avatar]

Pattern 3: Research -> Content -> Distribution

[Tavily Search] -> [Claude Summary] -> [FLUX Visual] -> [Twitter Post]

Complete Workflows

YouTube Short Pipeline

Create a complete short-form video from a topic.

# 1. Generate script with Claude
belt app run openrouter/​claude-sonnet-45 --input '{
  "prompt": "Write a 30-second script about the future of AI. Make it engaging and conversational. Just the script, no stage directions."
}' > script.json

# 2. Generate voiceover with Kokoro
belt app run falai/​kokoro-tts --input '{
  "prompt": "<script-text>",
  "voice": "af_sarah"
}' > voice.json

# 3. Generate background image with FLUX
belt app run falai/​flux-dev --input '{
  "prompt": "Futuristic city skyline at sunset, cyberpunk aesthetic, 4K wallpaper"
}' > background.json

# 4. Animate image to video with Wan
belt app run falai/​wan-2-5-i2v --input '{
  "image": "<background-url>",
  "prompt": "slow camera pan across cityscape, subtle movement"
}' > video.json

# 5. Add captions (manually or with another tool)

# 6. Merge video with audio
belt app run infsh/​video-audio-merger --input '{
  "video_file": "<video-url>",
  "audio_file": "<voice-url>"
}'

Talking Head Video Pipeline

Create an AI avatar presenting content.

# 1. Write the script
belt app run openrouter/​claude-sonnet-45 --input '{
  "prompt": "Write a 1-minute explainer script about quantum computing for beginners."
}' > script.json

# 2. Generate speech
belt app run falai/​kokoro-tts --input '{
  "prompt": "<script>",
  "voice": "am_michael"
}' > speech.json

# 3. Generate or use a portrait image
belt app run falai/​flux-dev --input '{
  "prompt": "Professional headshot of a friendly tech presenter, neutral background, looking at camera"
}' > portrait.json

# 4. Create talking head video
belt app run bytedance/​omnihuman-1-5 --input '{
  "image": "<portrait-url>",
  "audio": "<speech-url>"
}' > talking_head.json

Product Demo Pipeline

Create a product showcase video.

# 1. Generate product image
belt app run falai/​flux-dev --input '{
  "prompt": "Sleek wireless earbuds on white surface, studio lighting, product photography"
}' > product.json

# 2. Animate product reveal
belt app run falai/​wan-2-5-i2v --input '{
  "image": "<product-url>",
  "prompt": "slow 360 rotation, smooth motion"
}' > product_video.json

# 3. Upscale video quality
belt app run falai/​topaz-video-upscaler --input '{
  "video": "<product-video-url>"
}' > upscaled.json

# 4. Add background music
belt app run infsh/​video-audio-merger --input '{
  "video_file": "<upscaled-url>",
  "audio_file": "https://your-music.mp3"
}'

Blog to Video Pipeline

Convert written content to video format.

# 1. Summarize blog post
belt app run openrouter/​claude-haiku-45 --input '{
  "prompt": "Summarize this blog post into 5 key points for a video script: <blog-content>"
}' > summary.json

# 2. Generate images for each point
for i in 1 2 3 4 5; do
  belt app run falai/​flux-dev --input "{
    \"prompt\": \"Visual representing point $i: <point-text>\"
  }" > "image_$i.json"
done

# 3. Animate each image
for i in 1 2 3 4 5; do
  belt app run falai/​wan-2-5-i2v --input "{
    \"image\": \"<image-$i-url>\",
    \"prompt\": \"subtle camera motion\"
  }" > "video_$i.json"
done

# 4. Generate voiceover
belt app run falai/​kokoro-tts --input '{
  "prompt": "<full-script>",
  "voice": "bf_emma",
  "language": "british-english"
}' > narration.json

# 5. Merge all clips
belt app run infsh/​media-merger --input '{
  "media_files": [
    {"file": "<video1>", "transition_type": "crossfade"},
    {"file": "<video2>", "transition_type": "crossfade"},
    {"file": "<video3>", "transition_type": "crossfade"},
    {"file": "<video4>", "transition_type": "crossfade"},
    {"file": "<video5>", "transition_type": "crossfade"}
  ]
}' > merged.json

belt app run infsh/​video-audio-merger --input '{
  "video_file": "<merged-url>",
  "audio_file": "<narration-url>"
}'

Pipeline Building Blocks

Content Generation

StepAppPurpose
Scriptopenrouter/​claude-sonnet-45Write content
Researchtavily/​search-assistantGather information
Summaryopenrouter/​claude-haiku-45Condense content

Visual Assets

StepAppPurpose
Imagefalai/​flux-devGenerate images
Imagegoogle/​imagen-3Alternative image gen
Upscalefalai/​topaz-image-upscalerEnhance quality

Animation

StepAppPurpose
I2Vfalai/​wan-2-5-i2vAnimate images
T2Vgoogle/​veo-3-1-fastGenerate from text
Avatarbytedance/​omnihuman-1-5Talking heads

Audio

StepAppPurpose
TTSfalai/​kokoro-ttsVoice narration
Musicinfsh/​ai-musicBackground music
Foleyinfsh/​mmaudioSound effects

Post-Production

StepAppPurpose
Upscalefalai/​topaz-video-upscalerEnhance video
Mergeinfsh/​media-mergerCombine media
Captioninfsh/​caption-videosAdd subtitles

Best Practices

  1. Plan the pipeline first - Map out each step before running
  2. Save intermediate results - Store outputs for iteration
  3. Use appropriate quality - Fast models for drafts, quality for finals
  4. Match resolutions - Keep consistent aspect ratios throughout
  5. Test each step - Verify outputs before proceeding

Related Skills

# Video generation models
npx skills add inference-sh/​skills@ai-video-generation

# Image generation
npx skills add inference-sh/​skills@ai-image-generation

# Text-to-speech
npx skills add inference-sh/​skills@text-to-speech

# LLM models for scripts
npx skills add inference-sh/​skills@llm-models

# Full platform skill
npx skills add inference-sh/​skills@infsh-cli

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