Skill: okaris/ai-content-pipeline (version 0.1.5)

--- name: ai-content-pipeline description: "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" allowed-tools: Bash(infsh *) --- # AI Content Pipeline Build multi-step content creation pipelines via [inference.sh](https://inference.sh) CLI. ![AI Content Pipeline](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kg06qgcg105rh6y1kvxm4wvm.png) ## Quick Start ```bash curl -fsSL https://cli.inference.sh | sh && 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>"}' ``` > **Install note:** The [install script](https://cli.inference.sh) 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](https://dist.inference.sh/cli/checksums.txt) available. ## 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. ```bash # 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 '{ "text": "<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. ```bash # 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 '{ "text": "<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. ```bash # 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. ```bash # 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 '{ "text": "<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 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 ```bash # 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@inference-sh ``` Browse all apps: `infsh app list` ## Documentation - [Content Pipeline Example](https://inference.sh/docs/examples/content-pipeline) - Official pipeline guide - [Building Workflows](https://inference.sh/blog/guides/ai-workflows) - Workflow best practices


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