fal-ai-media

affaan-m/ECC · Agent Skill

Genera immagini, video e audio utilizzando i modelli fal.ai, inclusi text-to-image, text-to-video e text-to-speech.

Vai all'installazione ↓

Panoramica

Autoreaffaan-mCommunity
Repositoryaffaan-m/ECC ↗
Cartella dello skillfal-ai-media
Stelle257.549
Fork38.524
File inclusi2
LicenzaMIT
Aggiornato12 settembre 2026
LinkSorgente dello skill ↗ · Repository ↗

Verifica Mozgi

Cosa abbiamo trovato nei file dello skill. I dettagli con l’abbonamento.

Sicurezza
rischio medio · 2 punti richiedono attenzione
Compatibilità
servono programmi aggiuntivi
Skill simili
72 skill simili trovati
Inoltre con l’abbonamento

Installazione

Uno skill è una cartella con un file SKILL.md. Scegli il tuo agente ed esegui i comandi in un terminale (macOS, Linux o Git Bash su Windows) dalla radice del progetto.

Incolla il prompt in Claude, Codex o un altro assistente: controllerà lo skill e lo installerà.

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.

File dello skill

2 file Scarica ZIP

Leggi SKILL.md e i file correlati prima di installare. Clicca un file per l'anteprima.

Contenuto di SKILL.md

Testo originale dell'autore · sola lettura

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

Domande frequenti

Che cosa fa lo skill fal-ai-media?

Genera immagini, video e audio utilizzando i modelli fal.ai, inclusi text-to-image, text-to-video e text-to-speech.

Come si installa fal-ai-media?

Apri il blocco “Installazione” in questa pagina e scegli il tuo agente — Claude Code, Codex, Cursor o Gemini CLI — per i comandi pronti che copiano la cartella dello skill nel posto giusto. Oppure copia il prompt dalla scheda “Con l'assistente” e lascia che sia l'assistente a controllare e installare lo skill.

Con quali modelli AI funziona fal-ai-media?

Gli skill sono semplici istruzioni in Markdown (formato Agent Skills), quindi fal-ai-media funziona con qualsiasi agente che legge SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode e altri. Il modello carica le istruzioni solo quando il compito corrisponde alla descrizione dello skill.

fal-ai-media è gratuito?

Lo skill è pubblicato apertamente da affaan-m con licenza MIT. Lo skill in sé non costa nulla: paghi solo il tuo fornitore AI per i token usati.

È sicuro installare gli skill?

Uno skill è un insieme di istruzioni che il tuo agente seguirà: leggi SKILL.md e i file correlati prima di installarlo. Gli script nella cartella dello skill vengono eseguiti solo se li esegue l'agente: controlla cosa fa e non concedere permessi superflui.

In cosa differisce uno skill da un server MCP o da un plugin?

Un server MCP o un plugin danno al modello nuovi strumenti: codice che viene eseguito e restituisce un risultato. Uno skill fornisce conoscenza e metodo: come affrontare il compito, quali passi seguire e com'è un buon risultato. Non servono server né chiavi API.

Skill correlati

Tutti gli skill →