photographic-icon-set-generatorlisted

Generates consistent, locked-style sets of photographic, textured, or 3D-material-rendered icons via Ideogram — 3D-rendered, claymation, hand-painted, or isometric-with-material-texture icon packs that hold a shared style recipe across every icon in the batch. Use when the user asks for "3D icon set," "claymation icons," "textured/material icon pack," "isometric icon set with material texture," "photographic icon set," "match this icon style," or "add an icon to my [style] set." Out of scope — flat, line, glyph, minimal, or generic vector-style icon sets (these need deterministic SVG code, not diffusion output); trigger `ideogram-prompt` for single one-off "generate me a 3D camera icon" requests instead. This skill exists specifically for the multi-icon consistency problem, where the same locked style recipe carries across a batch of subject variations.
devkindhq/ideogram-ai-toolkit · ★ 2 · AI & Automation · score 70

Install: claude install-skill devkindhq/ideogram-ai-toolkit

# Photographic Icon Set Generator Ideogram's `generate_images_bulk`, `remix_image`, and `edit_image` tools let you batch-generate and correct consistent icon sets. This skill orchestrates those calls to hold a shared "style block" — a paragraph of prompt text describing the render technique, lighting, material, and visual language — repeated byte-identical across every icon prompt in the batch, ensuring the set reads as a unified design, not a scatter of unrelated renders. The single load-bearing technical fact this skill rests on: on Ideogram's default v4 pipeline (no `custom_model_uri` set), the parameters `style_type`, `negative_prompt`, `magic_prompt_option`, and `seed` are all ignored. Consistency has to be carried entirely by holding the style block as a repeated, byte-identical string in the prompt text of every `generate_images_bulk` entry — not by any generation parameter. This means accuracy and discipline in the locked style description is everything. This is a hybrid skill — prompt-composition discipline (like `logo-prompting` and `character-model-sheet`) *plus* a multi-call orchestration workflow (like `collections-management`). The output is both a "set style spec" JSON (so later sessions can extend the set without re-deriving the recipe) and a project markdown file tracking generations, corrections, and extensions. ## Before you start Read these three reference files in order before your first generation and before any correction or extension: 1. `referen