fal-ai-media

affaan-m/ECC · Agent Skill

Generates images, videos, and audio using fal.ai models, including text-to-image, text-to-video, and text-to-speech.

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Overview

Publisheraffaan-mCommunity
Repositoryaffaan-m/ECC ↗
Skill folderfal-ai-media
Stars257,549
Forks38,524
Bundled files2
LicenseMIT
Last updatedSeptember 12, 2026
LinksSkill source ↗ · Repository ↗

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Security
medium risk · 2 points need attention
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needs extra software
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Installation

A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.

Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.

Install the “fal-ai-media” skill from mozgi.io (https://mozgi.io/skills/fal-ai-media/) for me.

1. Download the archive: https://mozgi.io/skills/fal-ai-media/download
   If it fails, take the skill folder from the source: https://github.com/affaan-m/ECC/tree/main/.agents/skills/fal-ai-media
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “fal-ai-media” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/fal-ai-media/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

Review the source files

2 files Download Zip

Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.

SKILL.md contents

Original author text · read-only

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:

"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(
  model_name: "fal-ai/nano-banana-2",
  input: {
    "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(
  model_name: "fal-ai/nano-banana-pro",
  input: {
    "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(
  model_name: "fal-ai/nano-banana-2",
  input: {
    "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(
  model_name: "fal-ai/seedance-1-0-pro",
  input: {
    "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(
  model_name: "fal-ai/kling-video/v3/pro",
  input: {
    "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(
  model_name: "fal-ai/veo-3",
  input: {
    "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(
  model_name: "fal-ai/seedance-1-0-pro",
  input: {
    "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(
  model_name: "fal-ai/csm-1b",
  input: {
    "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(
  model_name: "fal-ai/thinksound",
  input: {
    "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(model_name: "fal-ai/nano-banana-pro", input: {...})

Model Discovery

Find models for specific tasks:

search(query: "text to video")
find(model_name: "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

Frequently asked questions

What does the fal-ai-media skill do?

Generates images, videos, and audio using fal.ai models, including text-to-image, text-to-video, and text-to-speech.

How do I install fal-ai-media?

Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.

Which AI models work with fal-ai-media?

Skills are plain Markdown instructions (the Agent Skills format), so fal-ai-media works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.

Is fal-ai-media free?

The skill is published openly by affaan-m under the MIT license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.

Is it safe to install skills?

A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.

How is a skill different from an MCP server or a plugin?

An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.

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