A comprehensive integration skill for executing fal.ai image generation APIs via SDKs or REST interfaces.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install falimagegen
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install falimagegen using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Fal Image Gen?
Fal Image Gen is a specialized technical skill designed to bridge the gap between AI agents and the fal.ai model ecosystem. By utilizing Openclaw Skills, developers can programmatically trigger advanced text-to-image and image-to-image workflows, ensuring high-quality visual outputs with minimal configuration.
This skill prioritizes API correctness and flexible implementation, allowing for seamless transitions between Python/JavaScript SDKs and standard REST protocols. It handles the complexities of request construction, input validation, and response parsing, making it an essential component for any media-heavy AI agent architecture.
Fal Image Gen Use Cases
- Creating cinematic visuals and marketing assets directly from text prompts.
- Performing image-to-image transformations like style transfer or denoising.
- Automating bulk image generation for creative pipelines and application development.
- Integrating high-performance fal.ai models into custom coding environments using Openclaw Skills.
How Fal Image Gen Works
- The skill identifies the target model ID and validates the required schema against fal.ai documentation.
- User-provided inputs, such as prompts, negative prompts, and aspect ratios, are sanitized and validated.
- A request is constructed using the preferred method—either the fal SDK for Python/JS or a direct REST API call.
- The job is executed on the fal.ai infrastructure, handling authentication via environment variables.
- The skill parses the JSON response, extracts the generated image URLs, and returns them along with relevant metadata like seeds and dimensions.
Fal Image Gen Setup
To get started with this skill, follow these installation and configuration steps:
- Obtain your API key from the fal.ai dashboard.
- Configure your environment to store the API key securely:
export FAL_KEY="your_api_key_here"
- If using the SDK, install the necessary package:
pip install fal-client
# or
npm install @fal-ai/client
- Reference the Openclaw Skills documentation to implement the specific model ID and endpoint required for your use case.
Fal Image Gen Data Schema & Taxonomy
The skill organizes input parameters and output responses using a structured schema to ensure consistency across different model versions:
| Field | Type | Description |
|---|---|---|
prompt |
String | The primary text description for image generation. |
image_url |
String | Required for image-to-image tasks; the source image source. |
model_id |
String | The specific fal.ai model identifier (e.g., flux/dev). |
image_urls |
Array | A list of strings containing the hosted URLs of generated images. |
seed |
Integer | The randomization seed used for the specific generation job. |
Fal Image Gen Advanced Features
- Support for multi-step image-to-image workflows with adjustable denoising strength.
- Flexible calling patterns allowing users to choose between SDK efficiency and REST portability.
- Robust error handling for authentication failures and schema mismatches.
- Compatibility with multi-agent orchestration via Openclaw Skills for complex creative tasks.
SKILL.md
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