GPT Image Skill
Generate or edit images with OpenAI's GPT Image models through the bundled gpt_image.py.
Resolve the skill directory
Before running any command, resolve the absolute directory containing this SKILL.md and refer to it as <skill-dir>. Never assume the current working directory is the skill directory. Keep user input and output paths relative to the user's working directory unless the user requests another location.
Requirements
- OPENAI_API_KEY in
~/.gpt-image.envor the shell environment. - OPENAI_API_BASE (optional) for compatible endpoints such as Azure OpenAI or a proxy, in the same places.
- Python dependencies:
python3 -m pip install -r "<skill-dir>/requirements.txt". - Executable:
<skill-dir>/gpt_image.py.
Run it
Generate:
python3 "<skill-dir>/gpt_image.py" --prompt "Modern minimalist logo for a tech startup" \
--quality high --background transparent --output "logo.png"
Edit or combine references:
python3 "<skill-dir>/gpt_image.py" edit --prompt "Add a rainbow in the sky" \
--input photo.png --output "photo-with-rainbow.png"
edit accepts several --input files to composite multiple references into one image.
Options live on the subcommands, so read them with generate --help or edit --help — the bare python3 "<skill-dir>/gpt_image.py" --help only lists the two modes. That is where the current --model, --size, --quality, --format, --background, and --n values are; every one has a working default, so pass only what the request actually constrains. Parent directories in the output path are created automatically, and an omitted --format is inferred from the .png, .jpg/.jpeg, or .webp extension, defaulting to PNG.
Report the saved path when the run completes.
When a run fails
Check that OPENAI_API_KEY is set and, for a custom endpoint, that OPENAI_API_BASE is correct; confirm input images exist and are readable, the output directory is writable, and the model name is valid. Do not report success unless an image was saved locally.