fal-ai-media
affaan-m/ECC
通过 MCP 工具使用 fal.ai 模型生成图像、视频和音频,支持文本转图像、文本/图像转视频、文本转语音以及视频转音频功能。
...展开全部fal.ai 媒体生成
易变技能。fal.ai 模型 ID、定价、输入参数及 MCP 工具名称 会迅速变化。在承诺使用 特定模型、参数、输出格式或成本之前,请先搜索或获取当前的模型元数据。
通过 MCP 使用 fal.ai 模型生成图像、视频和音频。
何时启用
- 用户希望根据文本提示生成图像
- 根据文本或图像生成视频
- 生成语音、音乐或音效
- 任何媒体生成任务
- 用户说“生成图片”、“制作视频”、“文字转语音”、“制作缩略图”或类似指令
MCP 要求
必须配置 fal.ai MCP 服务器。添加至 ~/.claude.json:
"fal-ai": {
"command": "npx",
"args": ["-y", "fal-ai-mcp-server"],
"env": { "FAL_KEY": "YOUR_FAL_KEY_HERE" }
}
在 fal.ai 获取 API 密钥。
MCP 工具
fal.ai MCP 提供以下工具:
search— 按关键词查找可用模型find— 获取模型详情和参数generate— 根据参数运行模型result— 查看异步生成状态status— 查看任务状态cancel— 取消正在运行的任务estimate_cost— 估算生成成本models— 列出热门模型upload— 上传文件作为输入
图像生成
Nano Banana 2(快速版)
最适合:快速迭代、草稿、文本转图像、图像编辑。
generate(
app_id: "fal-ai/nano-banana-2",
input_data: {
"prompt": "a futuristic cityscape at sunset, cyberpunk style",
"image_size": "landscape_16_9",
"num_images": 1,
"seed": 42
}
)
Nano Banana Pro(高保真)
最适合:正式图像、写实风格、排版、详细提示。
generate(
app_id: "fal-ai/nano-banana-pro",
input_data: {
"prompt": "professional product photo of wireless headphones on marble surface, studio lighting",
"image_size": "square",
"num_images": 1,
"guidance_scale": 7.5
}
)
常用图像参数
| 参数 | 类型 | 选项 | 备注 |
|---|---|---|---|
prompt |
字符串 | 必填 | 描述您的需求 |
image_size |
字符串 | square, portrait_4_3, landscape_16_9, portrait_16_9, landscape_4_3 |
宽高比 |
num_images |
数字 | 1-4 | 要生成多少张 |
seed |
数字简体中文(大陆) | 任意整数 | 可重现性 |
guidance_scale |
数字 | 1-20 | 遵循提示的严格程度(数值越高,遵循程度越严格) |
图像编辑
使用 Nano Banana 2 结合输入图像进行图像补画、超画或风格迁移:
# First upload the source image
upload(file_path: "/path/to/image.png")
# Then generate with image input
generate(
app_id: "fal-ai/nano-banana-2",
input_data: {
"prompt": "same scene but in watercolor style",
"image_url": "",
"image_size": "landscape_16_9"
}
)
视频生成
Seedance 1.0 Pro(字节跳动)
最适合:文本转视频、图像转视频,且具备高动态质量。
generate(
app_id: "fal-ai/seedance-1-0-pro",
input_data: {
"prompt": "a drone flyover of a mountain lake at golden hour, cinematic",
"duration": "5s",
"aspect_ratio": "16:9",
"seed": 42
}
)
Kling Video v3 Pro
最适合:文本/图像转视频,并支持原生音频生成。
generate(
app_id: "fal-ai/kling-video/v3/pro",
input_data: {
"prompt": "ocean waves crashing on a rocky coast, dramatic clouds",
"duration": "5s",
"aspect_ratio": "16:9"
}
)
Veo 3(谷歌DeepMind)
最适合:生成配音且视觉效果出色的视频。
generate(
app_id: "fal-ai/veo-3",
input_data: {
"prompt": "a bustling Tokyo street market at night, neon signs, crowd noise",
"aspect_ratio": "16:9"
}
)
图片转视频
基于现有图像生成:
generate(
app_id: "fal-ai/seedance-1-0-pro",
input_data: {
"prompt": "camera slowly zooms out, gentle wind moves the trees",
"image_url": "",
"duration": "5s"
}
)
视频参数
| 参数 | 类型 | 选项 | 备注 |
|---|---|---|---|
prompt |
字符串 | 必填 | 描述视频 |
duration |
字符串 | "5s", "10s" |
视频时长 |
aspect_ratio |
字符串 | "16:9", "9:16", "1:1" |
帧率 |
seed |
数字 | 任意整数 | 可重现性 |
image_url |
字符串 | URL | 图像转视频的源图像 |
音频生成
CSM-1B(对话式语音)
具有自然、对话般音质的文本转语音。
generate(
app_id: "fal-ai/csm-1b",
input_data: {
"text": "Hello, welcome to the demo. Let me show you how this works.",
"speaker_id": 0
}
)
ThinkSound(视频转音频)
根据视频内容生成匹配的音频。
generate(
app_id: "fal-ai/thinksound",
input_data: {
"video_url": "",
"prompt": "ambient forest sounds with birds chirping"
}
)
ElevenLabs(通过API,无需MCP)
如需专业级语音合成,请直接使用 ElevenLabs:
import os
import requests
resp = requests.post(
"https://api.elevenlabs.io/v1/text-to-speech/",
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 生成式音频
如果已配置 VideoDB,请使用其生成式音频功能:
# 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")
成本估算
生成前,请查看预估成本:
estimate_cost(
estimate_type: "unit_price",
endpoints: {
"fal-ai/nano-banana-pro": {
"unit_quantity": 1
}
}
)
模型发现
查找适用于特定任务的模型:
search(query: "text to video")
find(endpoint_ids: ["fal-ai/seedance-1-0-pro"])
models()
提示
- 使用
seed可重复的结果 - 先使用低成本模型(如 Nano Banana 2)进行提示词迭代,最终阶段再切换至 Pro 版本
- 对于视频,提示语应描述性强且简洁——重点关注动作和场景
- 相较于纯文本转视频,图像转视频能生成更可控的结果
- 请检查
estimate_cost在运行资源消耗较大的视频生成任务前
相关技能
videodb— 视频处理、剪辑和流媒体video-editing— 基于AI的视频编辑工作流content-engine— 面向社交平台的内容创作
---
name: fal-ai-media
description: Generate images, videos, and audio using fal.ai models via MCP tools, with support for text-to-image, text/image-to-video, text-to-speech, and video-to-audio.
---
# fal.ai Media Generation
> **Drift-prone skill.** fal.ai model IDs, pricing, inputs, and MCP tool names
> change quickly. Search or fetch the current model metadata before promising a
> specific model, parameter, output format, or cost.
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`:
```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(
app_id: "fal-ai/nano-banana-2",
input_data: {
"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(
app_id: "fal-ai/nano-banana-pro",
input_data: {
"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(
app_id: "fal-ai/nano-banana-2",
input_data: {
"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(
app_id: "fal-ai/seedance-1-0-pro",
input_data: {
"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(
app_id: "fal-ai/kling-video/v3/pro",
input_data: {
"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(
app_id: "fal-ai/veo-3",
input_data: {
"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(
app_id: "fal-ai/seedance-1-0-pro",
input_data: {
"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(
app_id: "fal-ai/csm-1b",
input_data: {
"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(
app_id: "fal-ai/thinksound",
input_data: {
"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(
estimate_type: "unit_price",
endpoints: {
"fal-ai/nano-banana-pro": {
"unit_quantity": 1
}
}
)
```
## Model Discovery
Find models for specific tasks:
```
search(query: "text to video")
find(endpoint_ids: ["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
所有文件
1 个文件安装 fal-ai-media
下载技能文件并将其解压到 .claude/skills/ 目录中。
下载ZIP克隆仓库并复制技能文件到您的项目中。
git clone https://github.com/affaan-m/ECC/tree/main/skills/fal-ai-media # Copy SKILL.md to your .claude/skills/ directory
复制





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