关于 fal-ai
fal-ai 是面向开发者的生成式媒体技能,使用 fal.ai 的无服务器推理生成和编辑图像、视频与音频。README 展示了模型调用、实时流式生成及队列任务的用法。
主要功能
- 01生成图像、视频与音频
- 02图像到图像编辑
- 03ControlNet 条件生成
- 04WebSocket 流式生成
- 05队列提交与状态查询
适用场景
- 01通过提示词生成图像
- 02将静态图像转换为视频
- 03在交互式应用中流式生成图像
安装
复制下面的命令,在终端中运行。
$
npx skills add https:/ / github.com/ hoodini/ ai-agents-skills --skill fal-ai安装后在 Claude Code 中输入/fal-ai确认已加载。
详细介绍
fal.ai - 无服务器 AI 平台
使用 fal.ai 快速的无服务器推理生成图像、视频和音频。
快速入门
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);
身份验证
// 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
图像生成模型
Flux(速度最快,品质出色)
// 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',
},
});
图像尺寸
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 和 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',
},
});
图生图
使用 Flux 编辑图像
// 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,
},
});
视频生成
Kling 视频
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);
图生视频
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',
},
});
实时生成
WebSocket 流式传输
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);
}
}
实时 SDXL(低延迟)
// 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
},
});
背景移除与编辑
// 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 集成
API 路由(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 });
}
}
客户端代理路由
// 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;
}
长任务队列系统
// 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',
});
模型对比
| 模型 | 速度 | 品质 | 最适合 |
|---|---|---|---|
| flux/schnell | ~0.5s | 良好 | 实时生成、预览 |
| flux/dev | ~3s | 出色 | 生产级图像 |
| flux-pro | ~5s | 最佳 | 专业创作 |
| fast-sdxl | ~2s | 良好 | 通用用途 |
| sd-v3-medium | ~4s | 出色 | 细节丰富的场景 |
| kling-video | ~60s | 良好 | 视频生成 |
资源
- fal.ai 文档:https://fal.ai/docs
- 模型库:https://fal.ai/models
- API 参考:https://fal.ai/docs/api-reference
- 定价:https://fal.ai/pricing
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