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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.
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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Generate images, videos, and audio using fal.ai models via MCP.
fal.ai MCP server must be configured. Add to ~/.codex.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.
The fal.ai MCP provides these tools:
search — Find available models by keywordfind — Get model details and parametersgenerate — Run a model with parametersresult — Check async generation statusstatus — Check job statuscancel — Cancel a running jobestimate_cost — Estimate generation costmodels — List popular modelsupload — Upload files for use as inputsBest 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
}
)
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
}
)
| 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) |
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"
}
)
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
}
)
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"
}
)
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"
}
)
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"
}
)
| 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 |
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
}
)
Generate matching audio from video content.
generate(
model_name: "fal-ai/thinksound",
input: {
"video_url": "<video_url>",
"prompt": "ambient forest sounds with birds chirping"
}
)
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)
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")
Before generating, check estimated cost:
estimate_cost(model_name: "fal-ai/nano-banana-pro", input: {...})
Find models for specific tasks:
search(query: "text to video")
find(model_name: "fal-ai/seedance-1-0-pro")
models()
seed for reproducible results when iterating on promptsestimate_cost before running expensive video generationsvideodb — Video processing, editing, and streamingvideo-editing — AI-powered video editing workflowscontent-engine — Content creation for social platformsname: 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.
---
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.
---
# 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 `~/.codex.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(
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:
```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(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
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
66/100
Promising
Trust
57/100
Do not auto-install
Audit
75/100
Needs review
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"install_command": "npx skills add mturac/everything-openai-codex --skill fal-ai-media",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "mturac-fal-ai-media",
"task": "Use fal-ai-media in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/mturac-fal-ai-media",
"api": "https://www.openagentskill.com/api/agent/skills/mturac-fal-ai-media",
"audit": "https://www.openagentskill.com/skills/mturac-fal-ai-media/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=mturac-fal-ai-media&task=Use%20fal-ai-media%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20fal-ai-media%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20fal-ai-media%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/mturac-fal-ai-media/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/mturac-fal-ai-media"
}
}Listing source
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