option

fal-ai-media

affaan-m/ECC affaan-m/ECC

Generate images, videos, and audio using fal.ai models via MCP tools, with support for text-to-image, text/image-to-video, text-to-speech, and video-to-audio.

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Updated time October 1, 2026

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": "",
    "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": "",
    "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": "",
    "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/",
    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
  • content-engine — Content creation for social platforms
View on GitHub
---
name: fal-ai-media
description: Generate images, videos, and audio using fal.ai models via MCP tools, with support for text-to-image, text/image-to-video, text-to-speech, and video-to-audio.
---

# 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

- `videodb` — Video processing, editing, and streaming
- `video-editing` — AI-powered video editing workflows
- `content-engine` — Content creation for social platforms

All Files

1 files

Install fal-ai-media

Download and extract the skill files to your .claude/skills/ directory.

Download ZIP

Clone the repository and copy the skill files to your project.

git clone https://github.com/affaan-m/ECC/tree/main/skills/fal-ai-media # Copy SKILL.md to your .claude/skills/ directory

Copy Copy
Quick Setup: Copy the skill folder to .claude/skills/ Claude will automatically detect and use the skill
Repository affaan-m/ECC

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