fal-api
Generate images, videos, and audio via fal.ai API (FLUX, SDXL, Whisper, etc.)
Best use case
fal-api is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate images, videos, and audio via fal.ai API (FLUX, SDXL, Whisper, etc.)
Teams using fal-api should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/fal-ai/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How fal-api Compares
| Feature / Agent | fal-api | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate images, videos, and audio via fal.ai API (FLUX, SDXL, Whisper, etc.)
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# fal.ai API Skill
Generate images, videos, and transcripts using fal.ai's API with support for FLUX, Stable Diffusion, Whisper, and more.
## Features
- Queue-based async generation (submit → poll → result)
- Support for 600+ AI models
- Image generation (FLUX, SDXL, Recraft)
- Video generation (MiniMax, WAN)
- Speech-to-text (Whisper)
- Stdlib-only dependencies (no `fal_client` required)
## Setup
1. Get your API key from https://fal.ai/dashboard/keys
2. Configure with:
```bash
export FAL_KEY="your-api-key"
```
Or via clawdbot config:
```bash
clawdbot config set skill.fal_api.key YOUR_API_KEY
```
## Usage
### Interactive Mode
```
You: Generate a cyberpunk cityscape with FLUX
Klawf: Creates the image and returns the URL
```
### Python Script
```python
from fal_api import FalAPI
api = FalAPI()
# Generate and wait
urls = api.generate_and_wait(
prompt="A serene Japanese garden",
model="flux-dev"
)
print(urls)
```
### Available Models
| Model | Endpoint | Type |
| ------------- | ------------------------------------- | ------------ |
| flux-schnell | `fal-ai/flux/schnell` | Image (fast) |
| flux-dev | `fal-ai/flux/dev` | Image |
| flux-pro | `fal-ai/flux-pro/v1.1-ultra` | Image (2K) |
| fast-sdxl | `fal-ai/fast-sdxl` | Image |
| recraft-v3 | `fal-ai/recraft-v3` | Image |
| sd35-large | `fal-ai/stable-diffusion-v35-large` | Image |
| minimax-video | `fal-ai/minimax-video/image-to-video` | Video |
| wan-video | `fal-ai/wan/v2.1/1.3b/text-to-video` | Video |
| whisper | `fal-ai/whisper` | Audio |
For the full list, run:
```bash
python3 fal_api.py --list-models
```
## Parameters
| Parameter | Type | Default | Description |
| ---------- | ---- | ---------------- | -------------------------------------------------- |
| prompt | str | required | Image/video description |
| model | str | "flux-dev" | Model name from table above |
| image_size | str | "landscape_16_9" | Preset: square, portrait_4_3, landscape_16_9, etc. |
| num_images | int | 1 | Number of images to generate |
| seed | int | None | Random seed for reproducibility |
## Credits
Built following the krea-api skill pattern. Uses fal.ai's queue-based API for reliable async generation.Related Skills
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