Design & media

ins-style-img-bulk-gen

Try it

Generate batches of Instagram-aesthetic photos (INS-style / Xiaohongshu / lifestyle flat-lay) by randomly composing prompts from an 80+ element library, then dispatching them in parallel to image generation skills and archiving to ~/Download/ins-image-{timestamp}/. Use when the user wants bulk INS-style images, lifestyle flat-lays, Xiaohongshu or WeChat cover art, or scene-based marketing visuals — even if they don't say 'Instagram' explicitly.

What it does

Generate batches of Instagram-aesthetic photos (INS-style / Xiaohongshu / lifestyle flat-lay) by randomly composing prompts from an 80+ element library, then dispatching them in parallel to image generation skills and archiving to ~/Download/ins-image-{timestamp}/. Use when the user wants bulk INS-style images, lifestyle flat-lays, Xiaohongshu or WeChat cover art, or scene-based marketing visuals — even if they don't say 'Instagram' explicitly.

The skill document

Task

  1. Read ./references/ins-style-elements.md to understand the available element library
  2. Compose prompts. Default to 5 prompts if the user doesn't specify a count. Each prompt randomly draws 12 elements (1-2 per category, no duplicates within a prompt)
  3. Iterate the prompt queue and dispatch them in parallel to whichever image generation skill is available (recommended: wanx-img or huny-img)
  4. Save all generated images to ~/Download/ins-image-{timestamp}/

Prompt Skeleton

Fill each prompt using the following template:

[Subject scene, 3-4 sentences, incorporating elements 1-12]. Unified Morandi / cream / wood-tone palette. 3:4 aspect ratio. Relaxed INS aesthetic.

Gotchas

  • Must return to this flow ⚠️: The image generation skill is only a sub-step. After generation completes, return to this skill and execute step 4 (archiving). Do not leave control inside the sub-skill.
  • Avoid duplicate elements: Don't repeat the same element within one prompt (e.g. "vintage book stack" + "open book").
  • Sub-skill failures: Skip the failed prompt and continue with the remaining queue. Don't abort the entire batch.

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