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gpt-image-1-5

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by intellectronica · part of intellectronica/agent-skills

Generate and edit images using OpenAI's GPT Image 1.5 model. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image generation and image editing with optional mask. DO NOT read the image file first - use this skill directly with the --input-image parameter.

🧩 One of 7 skills in the intellectronica/agent-skills package — works on its own, and pairs well with its siblings.

This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.

GPT Image 1.5 - Image Generation & Editing

Generate new images or edit existing ones using OpenAI's GPT Image 1.5 model.

  • Generation: Uses the Responses API with image_generation tool
  • Editing: Uses the Image API for reliable mask-based inpainting

Parameters

Quality Options

  • low - Fastest generation, lower quality
  • medium (default) - Balanced quality and speed
  • high - Best quality, slower generation

Map user requests:

  • No mention of quality -> medium
  • "quick", "fast", "draft" -> low
  • "high quality", "best", "detailed", "high-res" -> high

Size Options

  • 1024x1024 (default) - Square format
  • 1024x1536 - Portrait format
  • 1536x1024 - Landscape format
  • auto - Let the model decide based on prompt

Map user requests:

  • No mention of size -> 1024x1024
  • "square" -> 1024x1024
  • "portrait", "vertical", "tall" -> 1024x1536
  • "landscape", "horizontal", "wide" -> 1536x1024

Background Options (generation only)

  • auto (default) - Model decides
  • transparent - Transparent background (PNG/WebP output)
  • opaque - Solid background

API Key

The script checks for API key in this order:

  1. --api-key argument (use if user provided key in chat)
  2. OPENAI_API_KEY environment variable

If neither is available, the script exits with an error message.

Filename Generation

Generate filenames with the pattern: yyyy-mm-dd-hh-mm-ss-name.png

Format: {timestamp}-{descriptive-name}.png

  • Timestamp: Current date/time in format yyyy-mm-dd-hh-mm-ss (24-hour format)
  • Name: Descriptive lowercase text with hyphens
  • Keep the descriptive part concise (1-5 words typically)
  • Use context from user's prompt or conversation
  • If unclear, use random identifier (e.g., x9k2, a7b3)

Examples:

  • Prompt "A serene Japanese garden" -> 2025-12-17-14-23-05-japanese-garden.png
  • Prompt "sunset over mountains" -> 2025-12-17-15-30-12-sunset-mountains.png
  • Prompt "create an image of a robot" -> 2025-12-17-16-45-33-robot.png
  • Unclear context -> 2025-12-17-17-12-48-x9k2.png

Image Editing

Both editing modes use the Image API (images.edit endpoint) with gpt-image-1.5 for reliable results.

Without Mask (Full Image Edit)

When the user wants to modify an existing image without specifying exact regions:

  1. Use --input-image parameter with the path to the image
  2. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "change to cartoon style")
  3. A fully transparent mask is auto-generated, allowing the model to edit the entire image

With Mask (Precise Inpainting)

When the user wants to edit specific regions:

  1. Use --input-image parameter with the path to the image
  2. Use --mask parameter with a PNG mask file
  3. The mask should have transparent areas (alpha=0) where edits should occur
  4. The prompt describes what should appear in the masked region

Common editing tasks: add/remove elements, change style, adjust colors, replace backgrounds, etc.

Prompt Handling

For generation: Pass user's image description as-is to --prompt. Only rework if clearly insufficient.

For editing: Pass editing instructions in --prompt (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")

Preserve user's creative intent in both cases.

Output

  • Saves PNG to current directory (or specified path if filename includes directory)
  • Script outputs the full path to the generated image
  • Do not read the image back - just inform the user of the saved path

Examples

Generate new image:

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-12-17-14-23-05-japanese-garden.png" --quality high --size 1536x1024

Generate with transparent background:

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "A cute cartoon cat mascot" --filename "2025-12-17-14-25-30-cat-mascot.png" --background transparent --quality high

Edit existing image (full image):

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-12-17-14-27-00-dramatic-sky.png" --input-image "original-photo.jpg"

Edit with mask (inpainting):

uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "a flamingo swimming" --filename "2025-12-17-14-30-00-lounge-flamingo.png" --input-image "lounge.png" --mask "mask.png"