Apimart Image Gen
Documentsapimart-image-genApimart Image Gen is an Agent Skill for documents published in the kangarooking/kangarooking-skills repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Generate and download images through APIMart's asynchronous GPT-Image-2 API. Use when Codex needs APIMart image generation, GPT-Image-2 text-to-image, image-to-image with reference URLs or local image files, 1k/2k/4k output, aspect-ratio control, task polling, or saving APIMart image results locally.
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Inspect the Agent Skill at https://github.com/kangarooking/kangarooking-skills/blob/HEAD/apimart-image-gen/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/apimart-image-gen, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
APIMart Image Gen
Use this skill to submit GPT-Image-2 image jobs to APIMart, poll the async task result, and download returned image URLs.
Credential Rule
Read the API key from an environment variable. Do not hardcode API keys in prompts, scripts, skill files, zip packages, commits, or shell history.
Preferred variable:
export APIMART_API_KEY="..."
The helper also accepts APIMART_TOKEN as a fallback.
Quick Start
Use the bundled helper for normal requests:
python scripts/apimart_image_gen.py generate \
--prompt "一只橘猫坐在窗台上看夕阳,水彩画风格" \
--size "16:9" \
--resolution "2k" \
--output-dir ./outputs/apimart-image-gen
The script submits POST /v1/images/generations, waits before the first poll, queries GET /v1/tasks/{task_id}, and downloads completed image URLs into --output-dir.
Workflows
Text-to-image:
python scripts/apimart_image_gen.py generate \
--prompt "a corgi astronaut on the moon, cinematic" \
--size "16:9" \
--resolution "2k"
Image-to-image with public URLs:
python scripts/apimart_image_gen.py generate \
--prompt "把参考图变成水彩画风格" \
--image-url "https://example.com/photo.jpg" \
--size "4:3" \
--resolution "2k"
Image-to-image with local files:
python scripts/apimart_image_gen.py generate \
--prompt "融合这些参考图,生成一张公众号封面" \
--image-file ./reference-a.png \
--image-file ./reference-b.jpg \
--size "21:9" \
--resolution "2k"
Check an existing task:
python scripts/apimart_image_gen.py status \
--task-id task_01KPQ7J7DWB7QZ3WCEK3YVPBRA \
--download \
--output-dir ./outputs/apimart-image-gen
Validate request shape without calling the API:
python scripts/apimart_image_gen.py generate \
--prompt "星空下的古老城堡" \
--size "16:9" \
--resolution "4k" \
--dry-run
Defaults And Limits
- Model is fixed to
gpt-image-2. nis fixed to integer1; do not send"1"as a string.- Valid
resolutionvalues are1k,2k, and4k. - Valid ratio values are
auto,1:1,3:2,2:3,4:3,3:4,5:4,4:5,16:9,9:16,2:1,1:2,3:1,1:3,21:9, and9:21. - Pixel sizes such as
1881x836or887x1774are also accepted. - Up to 16 reference images can be supplied across
--image-urland--image-file. - Prefer putting aspect ratio in
--size, not in the prompt, to avoid conflicting instructions. - Result URLs should be downloaded promptly because APIMart reports an
expires_attimestamp.
Reference
Read references/api.md when you need endpoint details, status values, error handling, or the size/resolution map.