AI Content Pipeline

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

Quick Start

Requires inference.sh CLI (infsh ). Get installation instructions: npx skills add inference-sh/skills@agent-tools

infsh login

Simple pipeline: Generate image -> Animate to video

infsh app run falai/flux-dev --input '{"prompt": "portrait of a woman smiling"}' > image.json infsh app run falai/wan-2-5 --input '{"image_url": "<url-from-previous>"}'

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

infsh 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

infsh app run infsh/kokoro-tts --input '{ "prompt": "<script-text>", "voice": "af_sarah" }' > voice.json

3. Generate background image with FLUX

infsh 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

infsh app run falai/wan-2-5 --input '{ "image_url": "<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

infsh app run infsh/media-merger --input '{ "video_url": "<video-url>", "audio_url": "<voice-url>" }'

Talking Head Video Pipeline

Create an AI avatar presenting content.

1. Write the script

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

2. Generate speech

infsh app run infsh/kokoro-tts --input '{ "prompt": "<script>", "voice": "am_michael" }' > speech.json

3. Generate or use a portrait image

infsh 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

infsh app run bytedance/omnihuman-1-5 --input '{ "image_url": "<portrait-url>", "audio_url": "<speech-url>" }' > talking_head.json

Product Demo Pipeline

Create a product showcase video.

1. Generate product image

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

2. Animate product reveal

infsh app run falai/wan-2-5 --input '{ "image_url": "<product-url>", "prompt": "slow 360 rotation, smooth motion" }' > product_video.json

3. Upscale video quality

infsh app run falai/topaz-video-upscaler --input '{ "video_url": "<product-video-url>" }' > upscaled.json

4. Add background music

infsh app run infsh/media-merger --input '{ "video_url": "<upscaled-url>", "audio_url": "https://your-music.mp3", "audio_volume": 0.3 }'

Blog to Video Pipeline

Convert written content to video format.

1. Summarize blog post

infsh 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 infsh 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 infsh app run falai/wan-2-5 --input "{ "image_url": "<image-$i-url>" }" > "video_$i.json" done

4. Generate voiceover

infsh app run infsh/kokoro-tts --input '{ "prompt": "<full-script>", "voice": "bf_emma" }' > narration.json

5. Merge all clips

infsh app run infsh/media-merger --input '{ "videos": ["<video1>", "<video2>", "<video3>", "<video4>", "<video5>"], "audio_url": "<narration-url>", "transition": "crossfade" }'

Pipeline Building Blocks

Content Generation

Step App Purpose

Script openrouter/claude-sonnet-45

Write content

Research tavily/search-assistant

Gather information

Summary openrouter/claude-haiku-45

Condense content

Visual Assets

Step App Purpose

Image falai/flux-dev

Generate images

Image google/imagen-3

Alternative image gen

Upscale falai/topaz-image-upscaler

Enhance quality

Animation

Step App Purpose

I2V falai/wan-2-5

Animate images

T2V google/veo-3-1-fast

Generate from text

Avatar bytedance/omnihuman-1-5

Talking heads

Audio

Step App Purpose

TTS infsh/kokoro-tts

Voice narration

Music infsh/ai-music

Background music

Foley infsh/hunyuanvideo-foley

Sound effects

Post-Production

Step App Purpose

Upscale falai/topaz-video-upscaler

Enhance video

Merge infsh/media-merger

Combine media

Caption infsh/caption-video

Add subtitles

Best Practices

• Plan the pipeline first - Map out each step before running

• Save intermediate results - Store outputs for iteration

• Use appropriate quality - Fast models for drafts, quality for finals

• Match resolutions - Keep consistent aspect ratios throughout

• 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@agent-tools

Browse all apps: infsh app list

Documentation

• Content Pipeline Example - Official pipeline guide

• Building Workflows - Workflow best practices