Image Generation & Editing Skill (Azure OpenAI)

Description

# Image Generation & Editing Skill (Azure OpenAI) This skill allows the agent to generate new images from text prompts or edit existing images using reference files via Azure OpenAI's GPT-Image-1.5 model. ## Configuration - **Script**: `gen.py` - **Environment**: `/home/thomas/.env.azure` (Required for API credentials) - **Output**: Images are saved to the `./out/` directory with a timestamped filename. ## Usage ### 1. Generate New Image Use this mode when the user wants to create an image from scratch. **Syntax:** `python3 gen.py "<detailed_prompt>"` ### 2. Edit Existing Image Use this mode when a user provides one or more reference images and requests changes (e.g., changing colors, adding objects, or altering style). **Syntax:** `python3 gen.py "<edit_instructions>" --edit --ref <path_to_image>` ## Parameters | Parameter | Type | Description | | :--- | :--- | :--- | | `prompt` | String | (Positional) The visual description or edit instruction. | | `--edit` | Flag | Required to trigger image-to-image/editing mode. | | `--ref` | Path(s) | One or more paths to the images to be used as a reference. | ## Examples - **Create a new image**: `python3 gen.py "A professional headshot of a solution consultant in a modern office, cinematic lighting"` - **Modify an existing image**: `python3 gen.py "Change the suit color to charcoal gray and add a laptop on the desk" --edit --ref ./out/20260208_120000.png` ## Notes for the Agent - **Fidelity**: The skill is hardcoded to "high" fidelity to ensure identity and structural persistence during edits. - **Image Formats**: Input images must be in PNG format. - **Output**: The tool returns a JSON object containing the `path` to the generated image. Always display this path or the image to the user.

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