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fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

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— name: fal-ai-media description: Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI. origin: ECC — # fal.ai Media Generation Generate images, videos, and audio using fal.ai models via MCP. ## When to Activate – User wants to generate images from text prompts – Creating videos from text or images – Generating speech, music, or sound effects – Any media generation task – User says "generate image", "create video", "text to speech", "make a thumbnail", or similar ## MCP Requirement fal.ai MCP server must be configured. Add to `~/.claude.json`: “`json "fal-ai": { "command": "npx", "args": ["-y", "fal-ai-mcp-server"], "env": { "FAL_KEY": "YOUR_FAL_KEY_HERE" } } “` Get an API key at [fal.ai](https://fal.ai). ## MCP Tools The fal.ai MCP provides these tools: – `search` — Find available models by keyword – `find` — Get model details and parameters – `generate` — Run a model with parameters – `result` — Check async generation status – `status` — Check job status – `cancel` — Cancel a running job – `estimate_cost` — Estimate generation cost – `models` — List popular models – `upload` — Upload files for use as inputs — ## Image Generation ### Nano Banana 2 (Fast) Best for: quick iterations, drafts, text-to-image, image editing. “` generate( app_id: "fal-ai/nano-banana-2", input_data: { "prompt": "a futuristic cityscape at sunset, cyberpunk style", "image_size": "landscape_16_9", "num_images": 1, "seed": 42 } ) “` ### Nano Banana Pro (High Fidelity) Best for: production images, realism, typography, detailed prompts. “` generate( app_id: "fal-ai/nano-banana-pro", input_data: { "prompt": "professional product photo of wireless headphones on marble surface, studio lighting", "image_size": "square", "num_images": 1, "guidance_scale": 7.5 } ) “` ### Common Image Parameters | Param | Type | Options | Notes | |——-|——|———|——-| | `prompt` | string | required | Describe what you want | | `image_size` | string | `square`, `portrait_4_3`, `landscape_16_9`, `portrait_16_9`, `landscape_4_3` | Aspect ratio | | `num_images` | number | 1-4 | How many to generate | | `seed` | number | any integer | Reproducibility | | `guidance_scale` | number | 1-20 | How closely to follow the prompt (higher = more literal) | ### Image Editing Use Nano Banana 2 with an input image for inpainting, outpainting, or style transfer: “` # First upload the source image upload(file_path: "/path/to/image.png") # Then generate with image input generate( app_id: "fal-ai/nano-banana-2", input_data: { "prompt": "same scene but in watercolor style", "image_url": "<uploaded_url>", "image_size": "landscape_16_9" } ) “` — ## Video Generation ### Seedance 1.0 Pro (ByteDance) Best for: text-to-video, image-to-video with high motion quality. “` generate( app_id: "fal-ai/seedance-1-0-pro", input_data: { "prompt": "a drone flyover of a mountain lake at golden hour, cinematic", "duration": "5s", "aspect_ratio": "16:9", "seed": 42 } ) “` ### Kling Video v3 Pro Best for: text/image-to-video with native audio generation. “` generate( app_id: "fal-ai/kling-video/v3/pro", input_data: { "prompt": "ocean waves crashing on a rocky coast, dramatic clouds", "duration": "5s", "aspect_ratio": "16:9" } ) “` ### Veo 3 (Google DeepMind) Best for: video with generated sound, high visual quality. “` generate( app_id: "fal-ai/veo-3", input_data: { "prompt": "a bustling Tokyo street market at night, neon signs, crowd noise", "aspect_ratio": "16:9" } ) “` ### Image-to-Video Start from an existing image: “` generate( app_id: "fal-ai/seedance-1-0-pro", input_data: { "prompt": "camera slowly zooms out, gentle wind moves the trees", "image_url": "<uploaded_image_url>", "duration": "5s" } ) “` ### Video Parameters | Param | Type | Options | Notes | |——-|——|———|——-| | `prompt` | string | required | Describe the video | | `duration` | string | `"5s"`, `"10s"` | Video length | | `aspect_ratio` | string | `"16:9"`, `"9:16"`, `"1:1"` | Frame ratio | | `seed` | number | any integer | Reproducibility | | `image_url` | string | URL | Source image for image-to-video | — ## Audio Generation ### CSM-1B (Conversational Speech) Text-to-speech with natural, conversational quality. “` generate( app_id: "fal-ai/csm-1b", input_data: { "text": "Hello, welcome to the demo. Let me show you how this works.", "speaker_id": 0 } ) “` ### ThinkSound (Video-to-Audio) Generate matching audio from video content. “` generate( app_id: "fal-ai/thinksound", input_data: { "video_url": "<video_url>", "prompt": "ambient forest sounds with birds chirping" } ) “` ### ElevenLabs (via API, no MCP) For professional voice synthesis, use ElevenLabs directly: “`python import os import requests resp = requests.post( "https://api.elevenlabs.io/v1/text-to-speech/<voice_id>", headers={ "xi-api-key": os.environ["ELEVENLABS_API_KEY"], "Content-Type": "application/json" }, json={ "text": "Your text here", "model_id": "eleven_turbo_v2_5", "voice_settings": {"stability": 0.5, "similarity_boost": 0.75} } ) with open("output.mp3", "wb") as f: f.write(resp.content) “` ### VideoDB Generative Audio If VideoDB is configured, use its generative audio: “`python # Voice generation audio = coll.generate_voice(text="Your narration here", voice="alloy") # Music generation music = coll.generate_music(prompt="upbeat electronic background music", duration=30) # Sound effects sfx = coll.generate_sound_effect(prompt="thunder crack followed by rain") “` — ## Cost Estimation Before generating, check estimated cost: “` estimate_cost( estimate_type: "unit_price", endpoints: { "fal-ai/nano-banana-pro": { "unit_quantity": 1 } } ) “` ## Model Discovery Find models for specific tasks: “` search(query: "text to video") find(endpoint_ids: ["fal-ai/seedance-1-0-pro"]) models() “` ## Tips – Use `seed` for reproducible results when iterating on prompts – Start with lower-cost models (Nano Banana 2) for prompt iteration, then switch to Pro for finals – For video, keep prompts descriptive but concise — focus on motion and scene – Image-to-video produces more controlled results than pure text-to-video – Check `estimate_cost` before running expensive video generations ## Related Skills – `videodb` — Video processing, editing, and streaming – `video-editing` — AI-powered video editing workflows – `content-engine` — Content creation for social platforms