fal-ai-media

# fal.ai Media Generation > **Drift-prone skill.** fal.ai model IDs, pricing, inputs, and MCP tool names > change quickly. Search or fetch the current model metadata before promising a > specific model, parameter, output format, or cost. 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 - `tasteforge-video` — Offline taste distillation and modality planning. Its endpoint candidates and request manifests are reference-only, not submitted jobs or saved Fal workflows. A TasteForge handoff does not authorize upload or generation; use a separately authorized provider workflow and verify its current endpoint schema before executing. - `videodb` — Video processing, editing, and streaming - `video-editing` — AI-powered video editing workflows - `content-engine` — Content creation for social platforms