| name | fal-api |
| description | Generate images, videos, and audio via fal.ai API (FLUX, SDXL, Whisper, etc.) |
| version | 0.1.0 |
| metadata | {"thinkfleet":{"requires":{"env":["FAL_KEY"]},"primaryEnv":"FAL_KEY"}} |
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
- Get your API key from https://fal.ai/dashboard/keys
- Configure with:
export FAL_KEY="your-api-key"
Or via thinkfleetbot config:
thinkfleetbot 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
from fal_api import FalAPI
api = FalAPI()
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:
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.
