MarketingSEO

Generate Image

Generate images using AI (OpenAI GPT Image or Stability AI). Use when the user asks to generate an image, create an AI image, make an illustration, or produce artwork from a text prompt.

OOpenClaudia·Marketing·MIT

Library skill — the default version is maintained in GitHub; edits you make live in your own clone.

Use this skillDownload .zip
How does this work?
  • ChatGPT opens a new chat with the skill loaded. If it's too long for a link, it's copied to your clipboard — just paste.
  • Claude works the same way. To install it permanently, download the .zip and upload it under Claude → Settings → Capabilities → Skills (Pro/Team/Enterprise).
  • Copy prompt copies the skill so you can paste it into any assistant, including Grok.

AI Image Generation

Generate images from text prompts using OpenAI GPT Image (gpt-image-2 / gpt-image-1 / variants) or Stability AI (SD 3.5 Large).

Tool Location

Available OpenAI image models (verified live via /v1/models 2026-05-15)

Model ID Notes
gpt-image-2 Flagship. Released 2026-04-21. Best prompt adherence, best photorealism. Default when image quality matters.
gpt-image-2-2026-04-21 Pinned dated variant of gpt-image-2
gpt-image-1.5 Intermediate release between 1 and 2
gpt-image-1-mini Smaller/cheaper gpt-image-1 variant — use for batch/draft generation where cost matters
gpt-image-1 Original gpt-image. Still works; superseded by gpt-image-2.
chatgpt-image-latest Always-current alias of the model ChatGPT.com uses (currently gpt-image-2-class). Use when you want "whatever ChatGPT uses today"
dall-e-3 Legacy fallback. Different quality semantics (standard/hd, not low/medium/high).

Pass any of these to --model. The script branches on gpt-image* for the quality/format handling, so all gpt-image-* variants work out of the box.

Default in the script is now gpt-image-2 (the flagship) — pass --model gpt-image-1-mini for cheap batch/draft work.

Quick Usage

Generate with OpenAI gpt-image-2 (flagship)

python ~/.agents/tools/generate-image.py \
  --prompt "a sunset over mountains, oil painting style" \
  --output ./sunset.png \
  --model gpt-image-2 \
  --quality high

Generate with default (gpt-image-2)

python ~/.agents/tools/generate-image.py \
  --prompt "a sunset over mountains, oil painting style" \
  --output ./sunset.png

High quality

python ~/.agents/tools/generate-image.py \
  --prompt "modern logo design for a tech company" \
  --output ./logo.png \
  --size 1024x1024 \
  --quality high

Wide format (good for blog covers, banners)

python ~/.agents/tools/generate-image.py \
  --prompt "abstract digital art with blue tones" \
  --output ./banner.png \
  --size 1536x1024

Tall format (good for mobile, stories)

python ~/.agents/tools/generate-image.py \
  --prompt "portrait of a futuristic city" \
  --output ./city.png \
  --size 1024x1536

Transparent background (icons, logos)

python ~/.agents/tools/generate-image.py \
  --prompt "a minimalist cat icon, flat design" \
  --output ./icon.png \
  --background transparent

Generate with Stability AI (SD 3.5 Large)

python ~/.agents/tools/generate-image.py \
  --prompt "watercolor painting of a garden" \
  --output ./garden.png \
  --provider stability

CLI Options

Option Description
--prompt, -p (Required) Text prompt describing the desired image
--output, -o (Required) Output file path
--provider openai (default) or stability
--size Image size for OpenAI: 1024x1024 (default), 1536x1024 (wide), 1024x1536 (tall)
--quality OpenAI quality: low, medium (default), or high
--background OpenAI background: auto (default), transparent, or opaque
--model Override model (default: gpt-image-2 for OpenAI, sd3.5-large for Stability)

Provider Comparison

Feature OpenAI gpt-image-2 OpenAI gpt-image-1 Stability AI SD 3.5
Released 2026-04-21 2025
Prompt adherence Best Excellent Good
Size options 1024x1024, 1536x1024, 1024x1536 1024x1024, 1536x1024, 1024x1536 1024x1024
Quality options low, medium, high low, medium, high N/A
Transparent bg Yes Yes No
Style Photorealistic + artistic Photorealistic + artistic Artistic + photorealistic
Cost per image (high) Higher than 1 Baseline N/A

Dependencies

Install if needed:

pip install requests

Output

The script prints: - The provider and model used - The prompt (and revised prompt if applicable) - The saved file path