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),…
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:
"fal-ai": {
"command": "npx",
"args": ["-y", "fal-ai-mcp-server"],
"env": { "FAL_KEY": "YOUR_FAL_KEY_HERE" }
}
Get an API key at 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:
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:
# 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
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