ai-content-pipeline

安装量: 38
排名: #18531

安装

npx skills add https://github.com/inference-sh/skills --skill ai-content-pipeline

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": ""}' 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": "", "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": "", "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": "", "audio_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": "