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openai-image-gen

Batch-generate images via OpenAI Images API.

Skill by understudy-ai

IndexedMIT★ 464
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.

Use cases: frontend, backend, agent-building

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What's inside

Skill name
openai-image-gen
Description
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
License
MIT
Instructions
69 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (3)

  • SKILL.md
  • gen.py · scripts/
  • test_gen.py · scripts/

SKILL.md (first lines)

# OpenAI Image Gen

Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.

## Run

Note: Image generation can take longer than common exec timeouts (for example 30 seconds).
When invoking this skill via Understudy’s exec tool, set a higher timeout to avoid premature termination/retries (e.g., exec timeout=300).

```bash
python3 {baseDir}/scripts/gen.py
open ~/Projects/tmp/openai-image-gen-*/index.html  # if ~/Projects/tmp exists; else ./tmp/...
```

Useful flags:

```bash
# GPT image models with various options
python3 {baseDir}/scripts/gen.py --count 16 --model gpt-image-1
python3 {baseDir}/scripts/gen.py --prompt "ultra-detailed studio photo of a lobster astronaut" --count 4
python3 {baseDir}/scripts/gen.py --size 1536x1024 --quality high --out-dir ./out/images
python3 {baseDir}/scripts/gen.py --model gpt-image-1.5 --background transparent --output-format webp

# DALL-E 3 (note: count is automatically limited to 1)
python3 {baseDir}/scripts/gen.py --model dall-e-3 --quality hd --size 1792x1024 --style vivid
python3 {baseDir}/scripts/gen.py --model dall-e-3 --style natural --prompt "serene mountain landscape"

# DALL-E 2
python3 {baseDir}/scripts/gen.py --model dall-e-2 --size 512x512 --count 4
```

## Model-Specific Parameters

Different models support different parameter values. The script automatically selects appropriate defaults based on the model.

### Size

- **GPT image models** (`gpt-image-1`, `gpt-image-1-mini`, `gpt-image-1.5`): `1024x1024`, `1536x1024` (landscape), `1024x1536` (portrait), or `auto`
  - Default: `1024x1024`
- **dall-e-3**: `1024x1024`, `1792x1024`, or `1024x1792`
  - Default: `1024x1024`
- **dall-e-2**: `256x256`, `512x512`, or `1024x1024`
  - Default: `1024x1024`

### Quality

- **GPT image models**: `auto`, `high`, `medium`, or `low`
  - Default: `high`
- **dall-e-3**: `hd` or `standard`
  - Default: `standard`
- **dall-e-2**: `standard` only
  - Default: `standard`

### Other Notable Differences

- **dall-e-3** only supports generating 1 image at a time (`n=1`). The script automatically limits count to 1 when using this model.
- **GPT image models** support additional parameters:
  - `--background`: `transparent`, `opaque`, or `auto` (default)
  - `--output-format`: `png` (default), `jpeg`, or `webp`
  - Note: `stream` and `moderation` are available via API but not yet implemented in this script
- **dall-e-3** has a `--style` parameter: `vivid` (hyper-real, dramatic) or `natural` (more natural looking)

## Output

- `*.png`, `*.jpeg`, or `*.webp` images (output format depends on model + `--output-format`)
- `prompts.json` (prompt → file mapping)
- `index.html` (thumbnail gallery)

From understudy-ai/understudy, MIT.

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Last commit (this folder)
Mar 12, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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openai-image-gen skill. Agent Mart. https://agentmart.dev/skills/understudy-ai-openai-image-gen (last updated 2026-10-24)