imagegen

Generates or edits images for the current project (e.g., website assets, game assets, UI mockups, product mockups, wireframes, logo design, photorealistic images, infographics). Defaults to gpt-image-1.5 and the OpenAI Image API, and prefers the bundled CLI for deterministic, reproducible runs.

• Generate a new image (concept art, product shot, cover, website hero) • Edit an existing image (inpainting, masked edits, lighting or weather transformations, background replacement, object removal, compositing, transparent background) • Batch runs (many prompts, or many variants across prompts)

• If the user provides an input image (or says “edit/retouch/inpaint/mask/translate/localize/change only X”) → edit • Else if the user needs many different prompts/assets → generate-batch • Else → generate

• Decide intent: generate vs edit vs batch (see decision tree above). • Collect inputs up front: prompt(s), exact text (verbatim), constraints/avoid list, and any input image(s)/mask(s). For multi-image edits, label each input by index and role; for edits, list invariants explicitly. • If batch: write a temporary JSONL under tmp/ (one job per line), run once, then delete the JSONL. • Augment prompt into a short labeled spec (structure + constraints) without inventing new creative requirements. • Run the bundled CLI (scripts/image_gen.py) with sensible defaults (see references/cli.md). • For complex edits/generations, inspect outputs (open/view images) and validate: subject, style, composition, text accuracy, and invariants/avoid items. • Iterate: make a single targeted change (prompt or mask), re-run, re-check. • Save/return final outputs and note the final prompt + flags used.