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
| Autore | |
|---|---|
| Repository | affaan-m/ECC ↗ |
| Cartella dello skill | fal-ai-media |
| Stelle | 257.549 |
| Fork | 38.524 |
| File inclusi | 2 |
| Licenza | MIT |
| Aggiornato | 12 settembre 2026 |
| Link | Sorgente dello skill ↗ · Repository ↗ |
Verifica Mozgi
Cosa abbiamo trovato nei file dello skill. I dettagli 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.
git clone --depth 1 --branch main https://github.com/affaan-m/ECC.git /tmp/ECC mkdir -p .claude/skills cp -r /tmp/ECC/.agents/skills/fal-ai-media .claude/skills/fal-ai-media
Riavvia Claude Code: lo skill compare nell'elenco; per richiamarlo a mano usa /fal-ai-media. Per tutti i progetti: ~/.claude/skills.
git clone --depth 1 --branch main https://github.com/affaan-m/ECC.git /tmp/ECC mkdir -p .agents/skills cp -r /tmp/ECC/.agents/skills/fal-ai-media .agents/skills/fal-ai-media
Codex cerca gli skill in .agents/skills dalla cartella corrente fino alla radice del repo; richiamalo con /skills o $fal-ai-media. Per tutti i progetti: ~/.agents/skills.
git clone --depth 1 --branch main https://github.com/affaan-m/ECC.git /tmp/ECC mkdir -p .cursor/skills cp -r /tmp/ECC/.agents/skills/fal-ai-media .cursor/skills/fal-ai-media
Cursor carica lo skill all'avvio; richiamalo con “/” nella chat Agent. Cursor legge anche .claude/skills e .agents/skills. Per tutti i progetti: ~/.cursor/skills.
git clone --depth 1 --branch main https://github.com/affaan-m/ECC.git /tmp/ECC mkdir -p .gemini/skills cp -r /tmp/ECC/.agents/skills/fal-ai-media .gemini/skills/fal-ai-media
Gemini CLI propone di attivare lo skill quando il compito corrisponde: tu confermi. Per tutti i progetti: ~/.gemini/skills.
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 letturafal.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 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 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
seedfor 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_costbefore running expensive video generations
Related Skills
videodb— Video processing, editing, and streamingvideo-editing— AI-powered video editing workflowscontent-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.