gpt-image-1-5

What this skill does

# 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

## Usage

Run the script using absolute path (do NOT cd to skill directory first):

**Generate new image:**
```bash
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--quality low|medium|high] [--size 1024x1024|1024x1536|1536x1024|auto] [--background transparent|opaque|auto] [--api-key KEY]
```

**Edit existing image (without mask - full image edit):**
```bash
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--size 1024x1024|1024x1536|1536x1024|auto] [--api-key KEY]
```

**Edit existing image (with mask - precise inpainting):**
```bash
uv run ~/.claude/skills/gpt-image-1-5/scripts/generate_image.py --prompt "what to put in masked area" --filename "output-name.png" --input-image "path/to/input.png" --mask "path/to/mask.png" [--size 1024x1024|1024x1536|1536x1024|auto] [--api-key KEY]
```

**Important:** Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.

## 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:**
```bash
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:**
```bash
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):**
```bash
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):**
```bash
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"
```