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fal-ai法艾

Agent Skill

fal-ai 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,471

周安装

104

GitHub Stars

195

下载量

865
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:fal-ai(法艾)
来源仓库:https://github.com/hoodini/ai-agents-skills
仓库路径:skills/fal-ai
安装命令:
npx skills add https://github.com/hoodini/ai-agents-skills --skill fal-ai
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/hoodini/ai-agents-skills --skill fal-ai

简介

用于 fal.ai 无服务器 AI 平台调用,支持图像、视频与音频生成。

  • 适用于需要快速接入 Flux、Stable Video 等先进模型的创作场景。
  • 通过 @fal-ai/serverless-client 发送 subscribe 请求获取结果 URL。
  • 安装命令:npx skills add https://github.com/hoodini/ai-agents-skills --skill fal-ai。
  • 建议设置 FAL_KEY 环境变量进行身份验证,避免硬编码密钥。

SKILL.md

fal.ai - Serverless AI Platform

Generate images, videos, and audio with fal.ai's fast serverless inference.

Quick Start

npm install @fal-ai/serverless-client
import * as fal from '@fal-ai/serverless-client';

fal.config({
  credentials: process.env.FAL_KEY,
});

// Generate image with Flux
const result = await fal.subscribe('fal-ai/flux/dev', {
  input: {
    prompt: 'A serene Japanese garden with cherry blossoms',
    image_size: 'landscape_16_9',
    num_images: 1,
  },
});

console.log(result.images[0].url);

Authentication

// Option 1: Environment variable (recommended)
// Set FAL_KEY in .env
fal.config({ credentials: process.env.FAL_KEY });

// Option 2: Direct config
fal.config({ credentials: 'your-api-key' });

// Option 3: Proxy (for client-side apps)
// Use fal.config({ proxyUrl: '/api/fal/proxy' }) on client

Image Generation Models

Flux (Fastest, High Quality)

// Flux Dev - Best quality
const result = await fal.subscribe('fal-ai/flux/dev', {
  input: {
    prompt: 'Professional headshot of a business executive',
    image_size: 'square_hd',  // 1024x1024
    num_inference_steps: 28,
    guidance_scale: 3.5,
    num_images: 1,
    enable_safety_checker: true,
  },
});

// Flux Schnell - Ultra fast (~0.5s)
const fast = await fal.subscribe('fal-ai/flux/schnell', {
  input: {
    prompt: 'A cute robot',
    image_size: 'square',
    num_inference_steps: 4,  // Schnell needs fewer steps
  },
});

// Flux Pro - Highest quality
const pro = await fal.subscribe('fal-ai/flux-pro', {
  input: {
    prompt: 'Hyperrealistic portrait',
    image_size: 'portrait_4_3',
    safety_tolerance: '2',
  },
});

Image Sizes

type ImageSize =
  | 'square_hd'      // 1024x1024
  | 'square'         // 512x512
  | 'portrait_4_3'   // 768x1024
  | 'portrait_16_9'  // 576x1024
  | 'landscape_4_3'  // 1024x768
  | 'landscape_16_9' // 1024x576
  | { width: number; height: number };  // Custom

SDXL & Stable Diffusion

// SDXL
const sdxl = await fal.subscribe('fal-ai/fast-sdxl', {
  input: {
    prompt: 'Fantasy landscape',
    negative_prompt: 'blurry, low quality',
    image_size: 'landscape_16_9',
    num_inference_steps: 25,
    guidance_scale: 7.5,
    scheduler: 'DPM++ 2M Karras',
  },
});

// Stable Diffusion 3
const sd3 = await fal.subscribe('fal-ai/stable-diffusion-v3-medium', {
  input: {
    prompt: 'A mountain lake at sunset',
    negative_prompt: 'ugly, deformed',
    image_size: 'landscape_16_9',
  },
});

Image-to-Image

Image Editing with Flux

// Image to image
const result = await fal.subscribe('fal-ai/flux/dev/image-to-image', {
  input: {
    prompt: 'Transform to watercolor painting style',
    image_url: 'https://example.com/photo.jpg',
    strength: 0.75,  // How much to change (0-1)
    num_inference_steps: 28,
  },
});

// Inpainting (edit specific areas)
const inpaint = await fal.subscribe('fal-ai/flux/dev/inpainting', {
  input: {
    prompt: 'A red sports car',
    image_url: 'https://example.com/street.jpg',
    mask_url: 'https://example.com/mask.png',  // White = edit area
  },
});

ControlNet

// Generate with pose/edge control
const controlled = await fal.subscribe('fal-ai/flux-controlnet', {
  input: {
    prompt: 'A professional dancer',
    control_image_url: 'https://example.com/pose.jpg',
    controlnet_conditioning_scale: 0.8,
  },
});

Video Generation

Kling Video

const video = await fal.subscribe('fal-ai/kling-video/v1/standard/text-to-video', {
  input: {
    prompt: 'A golden retriever running through a field of flowers',
    duration: '5',  // seconds
    aspect_ratio: '16:9',
  },
});

console.log(video.video.url);

Image to Video

const i2v = await fal.subscribe('fal-ai/kling-video/v1/standard/image-to-video', {
  input: {
    prompt: 'The person starts walking forward',
    image_url: 'https://example.com/person.jpg',
    duration: '5',
  },
});

Luma Dream Machine

const luma = await fal.subscribe('fal-ai/luma-dream-machine', {
  input: {
    prompt: 'A timelapse of clouds moving over mountains',
    aspect_ratio: '16:9',
  },
});

Real-Time Generation

WebSocket Streaming

import * as fal from '@fal-ai/serverless-client';

// Real-time image generation with streaming
const stream = await fal.stream('fal-ai/flux/dev', {
  input: {
    prompt: 'A beautiful sunset',
    image_size: 'landscape_16_9',
  },
});

for await (const event of stream) {
  if (event.images) {
    console.log('Generated:', event.images[0].url);
  }
}

Real-Time SDXL (Low Latency)

// Ultra-low latency for interactive apps
const realtime = await fal.subscribe('fal-ai/fast-lcm-diffusion', {
  input: {
    prompt: 'Abstract art',
    image_size: 'square',
    num_inference_steps: 4,  // LCM needs very few steps
  },
});

Background Removal & Editing

// Remove background
const nobg = await fal.subscribe('fal-ai/birefnet', {
  input: {
    image_url: 'https://example.com/photo.jpg',
  },
});

// Upscale image
const upscaled = await fal.subscribe('fal-ai/creative-upscaler', {
  input: {
    image_url: 'https://example.com/small.jpg',
    scale: 2,
    creativity: 0.5,
    prompt: 'High quality, detailed',
  },
});

// Face swap
const swapped = await fal.subscribe('fal-ai/face-swap', {
  input: {
    base_image_url: 'https://example.com/target.jpg',
    swap_image_url: 'https://example.com/face.jpg',
  },
});

Next.js Integration

API Route (App Router)

// app/api/generate/route.ts
import * as fal from '@fal-ai/serverless-client';
import { NextRequest, NextResponse } from 'next/server';

fal.config({ credentials: process.env.FAL_KEY });

export async function POST(request: NextRequest) {
  const { prompt, model = 'fal-ai/flux/schnell' } = await request.json();

  try {
    const result = await fal.subscribe(model, {
      input: {
        prompt,
        image_size: 'landscape_16_9',
        num_images: 1,
      },
    });

    return NextResponse.json({
      imageUrl: result.images[0].url,
      seed: result.seed,
    });
  } catch (error) {
    return NextResponse.json({ error: 'Generation failed' }, { status: 500 });
  }
}

Proxy Route for Client-Side

// app/api/fal/proxy/route.ts
import { route } from '@fal-ai/serverless-client/server-proxy';

export const { GET, POST, PUT, DELETE } = route;
// Client-side usage
'use client';
import * as fal from '@fal-ai/serverless-client';

fal.config({ proxyUrl: '/api/fal/proxy' });

async function generateImage(prompt: string) {
  const result = await fal.subscribe('fal-ai/flux/schnell', {
    input: { prompt, image_size: 'square_hd' },
  });
  return result.images[0].url;
}

Queue System for Long Tasks

// Submit to queue (returns immediately)
const { request_id } = await fal.queue.submit('fal-ai/flux/dev', {
  input: { prompt: 'Complex scene', num_images: 4 },
});

// Check status
const status = await fal.queue.status('fal-ai/flux/dev', {
  requestId: request_id,
});
console.log(status.status); // 'IN_QUEUE' | 'IN_PROGRESS' | 'COMPLETED'

// Get result when ready
if (status.status === 'COMPLETED') {
  const result = await fal.queue.result('fal-ai/flux/dev', {
    requestId: request_id,
  });
}

// Or use webhooks
await fal.queue.submit('fal-ai/flux/dev', {
  input: { prompt: 'Scene' },
  webhookUrl: 'https://your-server.com/webhook',
});

Model Comparison

ModelSpeedQualityBest For
flux/schnell~0.5sGoodReal-time, previews
flux/dev~3sExcellentProduction images
flux-pro~5sBestProfessional work
fast-sdxl~2sGoodGeneral purpose
sd-v3-medium~4sExcellentDetailed scenes
kling-video~60sGoodVideo generation

Resources

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

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OpenCode

17.43%
按下载量换算151

Antigravity

12.17%
按下载量换算105

windsurf

7%
按下载量换算61

trae

3.1%
按下载量换算27

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敏感数据

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