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Generate AI images using Gemini or GPT APIs directly. Covers model selection (Gemini for scenes; GPT Image 2 for text rendering, batch variations, multi-reference compositing; GPT Image 1.5 for transparent icons), the 5-part prompting framework, API calling patterns, multi-turn editing, and quality assurance. Produces photorealistic scenes, icons, illustrations, OG images, posters, infographics, and product shots.
Passed 22 of 22 test cases with the skill, and 11 of 22 without it.
and 13 more in the full report
11 fixed11 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
What are the relative per-image cost tiers for low, medium, and high quality generations when using gpt-image-2 at 1024x1024 resolution?
| Checked | Without skill | With skill |
|---|---|---|
| The response lists low quality at $0.006 per image. | Missed | Passed |
| The response lists medium quality at $0.053 per image. | Missed | Passed |
The instructions your model reads when the skill loads.
Generate images using AI APIs (Google Gemini and OpenAI GPT). This skill teaches the prompting patterns and API mechanics for producing professional images directly from Claude Code.
Managed alternative: If you don't want to manage API keys, ImageBot provides a managed image generation service with album templates and brand kit support.
Choose the right model for the job:
| Need | Model | Why |
|---|---|---|
| Photorealistic scenes / stock photos | Gemini 3.1 Flash Image | Best depth, complexity, environmental context |
| Final client scenes (higher detail) | Gemini 3 Pro Image | Higher detail, better style consistency |
| Text on images (posters, OG with copy, infographics) | GPT Image 2 | Text rendering actually works — including multi-script |
| 10-variation style exploration | GPT Image 2 | Native batch — one prompt, 10 variants sharing composition + palette |
| Multi-reference compositing (product + lifestyle) | GPT Image 2 | Handles lighting, scale, perspective across references |
| Transparent icons / logos | GPT Image 1.5 | Native RGBA alpha — GPT Image 2 cannot do transparency |
| Quick drafts / iteration | Gemini 2.5 Flash Image | Free tier (~500/day) |
Rule of thumb: any image with readable text → GPT Image 2 (unless you need transparency, then GPT 1.5). Otherwise → Gemini.
| Model | API ID | Provider |
|---|---|---|
| Gemini 3.1 Flash Image | gemini-3.1-flash-image-preview | Google AI |
| Gemini 3 Pro Image | gemini-3-pro-image-preview | Google AI |
| Gemini 2.5 Flash Image | gemini-2.5-flash-image | Google AI |
| GPT Image 2 (default) | gpt-image-2 | OpenAI |
| GPT Image 2 (ChatGPT-parity output) | chatgpt-image-latest | OpenAI |
| GPT Image 1.5 (transparency-only) | gpt-image-1.5 | OpenAI |
Verify model IDs before use — they change frequently:
curl -s "https://generativelanguage.googleapis.com/v1beta/models?key=$GEMINI_API_KEY" | python3 -c "import sys,json; [print(m['name']) for m in json.load(sys.stdin)['models'] if 'image' in m['name'].lower()]"
test cases passed, vs 11 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.