notion-automation
Automate a wide range of Notion operations using Composio's Notion toolkit via Rube MCP. This skill enables creation, mo...
This skill provides a convenient way to generate images using the OpenAI Images API. It includes a random prompt sampler to create diverse and structured prompts. The generated images are organized into an `index.html` gallery for easy browsing and viewing. The script supports various OpenAI image models, including GPT image models, DALL-E 3, and DALL-E 2, with model-specific parameter adjustments.
The skill allows customization of image size, quality, and style, providing flexibility for different use cases. It also handles model-specific limitations, such as the single image generation limit for DALL-E 3. The output includes the generated images, a `prompts.json` file mapping prompts to images, and an `index.html` gallery for easy viewing.
Generates images using the OpenAI Images API based on random or user-defined prompts. It creates an HTML gallery to display the generated images.
When you need to quickly generate a batch of images for creative inspiration, prototyping, or testing purposes. Useful for exploring different image styles and variations.
Model type (dall-e-2, dall-e-3, gpt-image-1, gpt-image-1-mini, gpt-image-1.5), prompt (optional), image size, quality, count, output directory, background (GPT models), output format (GPT models), style (dall-e-3).
Generated image files (PNG, JPEG, or WebP), prompts.json (prompt-to-file mapping), index.html (thumbnail gallery).
1. Clone the skill repository to your local machine. 2. Install Python 3 if you don't have it already. 3. Set the OPENAI_API_KEY environment variable in your system. 4. Navigate to the skill directory and run the `gen.py` script.
1. Clone the skill repository to your local machine. 2. Install Python 3 if you don't have it already. 3. Set the OPENAI_API_KEY environment variable in your system. 4. Navigate to the skill directory and run the `gen.py` script.
1. Open Cursor IDE. 2. Install the required Python packages (if any) using pip. 3. Set the OPENAI_API_KEY environment variable in your Cursor environment. 4. Import the skill code into your Cursor project.
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