ideogram · v1.0.0 · 2026-07-18 · sha256 19ae1d970e7b7384
ideogram v1.0.0A
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--- name: ideogram description: >- Use to write great prompts for Ideogram (Ideogram 4.0) to generate design-grade images for social media — the image-prompt-craft mini-skill for typography + layout, sibling to nano-banana under the image-prompt router. Run when the user wants an Ideogram / AI image prompt where TEXT and LAYOUT matter: quote cards, carousel covers, posters, logos/wordmark concepts, signage, ads with headlines, or any image that must say words correctly. Reads brand-profile for style/palette. Ideogram's standouts: best-in-class in-image text rendering, structured JSON prompting (bounding boxes, hex palettes), native 2K, transparency, and Layerize Text. Also covers the Ideogram app-editor workflow (Canvas, Magic Fill, Extend, Style References). Honest: review rendered text, disclose AI images and sign with C2PA, never generate real identifiable people or copyrighted characters/IP/logos. The API/connection and the generate -> upload to WoopSocial Media -> attach flow live in tools/integrations/ideogram.md. metadata: version: 1.0.0 license: MIT --- # Ideogram (image prompt craft) Write prompts that get **design-grade images with correct text and deliberate layout** out of **Ideogram** (**Ideogram 4.0**). This is the **prompt-craft** layer of a three-layer setup, and the **typography/layout sibling to `nano-banana`** under the **image-prompt** router. - **Connection/API** (per-image pricing, MCP, the *generate → upload to WoopSocial Media → attach* flow) → `tools/integrations/ideogram.md`. - **Prompt craft** (this skill) → how to direct the right asset well. - **Router** → `image-prompt` picks the tool for the job. > This skill covers **both lanes**: *generation* prompt-craft (below) and the Ideogram > **app-editor workflow** (Canvas, Magic Fill, Extend, Style References, Magic Prompt, Layerize) — > for in-editor work, see `references/app-editor-and-canvas.md`. Re-verify model/specs quarterly. ## Reach for Ideogram when… (match the job) Its real strengths: **in-image text rendering** (the standout — legible, correct typography), **deterministic layout** (bounding-box placement), **brand-accurate color** (hex palettes), **native 2K**, and **transparency** (Background Remover). Reach **elsewhere** for **conversational edits / pure photoreal scenes** (→ `nano-banana`) or specific **art house looks** (→ the photoreal branch). Don't default it to every image. (Details: `references/when-and-how-to-prompt.md`.) ## Step 0 — Read the brand + the job Load `brand-profile.md` (palette as hex, type feel, do/don't). Identify the **job** (quote card / carousel cover / poster / logo concept / ad / signage) and the **aspect ratio** (4:5, 9:16, 1:1). ## Step 1 — Direct a layout, not just a scene Describe like a designer: **subject/scene/style · text elements (exact string + styling + placement) · hex palette · layout/hierarchy · format (2K, aspect)**. Don't bury copy in a vague sentence. Ground in the brand. See `references/when-and-how-to-prompt.md`. ## Step 2 — Use the superpower: structured JSON Ideogram 4.0 is JSON-native. For exact, repeatable **layout/text/color**, write **structured JSON**: per-element **bounding boxes**, **hex palette** (up to ~16), and each text element's **literal string + visual styling**. Casual input works via **magic-prompt** (it expands to JSON). See `references/json-prompting-and-layout.md`. ## Step 3 — Text, transparency, recipes - **Text:** ~0.97 OCR, multilingual, multi-line, logos/signage — but **review every render.** - **Transparency:** Background Remover → clean alpha cutout. **Layerize Text** (live, beta) turns rendered text into **editable layers** — restyle/rewrite copy without regenerating; works best on clear, straight type. **2K** output; aspect ratios in multiples of 16. - Pick a **recipe** (quote card, carousel cover, logo concept, ad, poster). See `references/text-rendering-and-recipes.md`. ## Step 4 — Iterate cheaply, then verify, disclose, ship - **Iterate on Turbo / magic-prompt** to lock layout; **finalize on Quality** with refined JSON. Per-image pricing — **prompt/layout precision is the cost + quality lever.** - **Verify** the rendered **text** and composition before publishing. - **Disclose** AI images (**EU AI Act Article 50**, **California AB 853**) and sign with **C2PA**; never pass an AI image off as a real photo. Open weights are **non-commercial** (commercial → plan/API). - **Ship:** generate per the integration guide → **upload to WoopSocial Media → attach** via `scheduling-and-queue`. WoopSocial doesn't generate images. ## Quality bar — self-check - Did I **match the tool to the job** (route conversational/photoreal to `nano-banana`)? - Are **text elements typed** (exact string + styling + placement), with a **hex palette** and **2K/ aspect** set, **brand-grounded**? - Did I use **JSON** where layout/text precision matters (and **magic-prompt** for casual)? - Did I plan **iterate-cheap → finalize**, and **verify the rendered text**? - Did I handle **disclosure + C2PA**, **non-commercial license**, and **refuse real people / IP / logos**? - Did I point to **`tools/integrations/ideogram.md`** for the API + WoopSocial flow (no claim WoopSocial generates images)? ## Edge cases & pushback - **"Exact headline + brand colors + placement"** → structured JSON (bounding boxes + hex palette). - **Conversational "now change the background"** → route to `nano-banana`; Ideogram is layout-first. - **Real person / copyrighted IP or logo / "post as a real photo"** → refuse; disclose + C2PA; offer an original/owned alternative. - **"Editable text layers"** → **Layerize Text is live (beta**, all plans + API endpoint**)** — best on clear, straight standard type; curved/decorative text may not be detected. - **"Generate it in WoopSocial"** → WoopSocial doesn't generate; this prompts Ideogram, then the image is uploaded to Media and attached. - **Long paragraph of text in-image** → keep lines short, hierarchy clear; verify the render. ## Related - `tools/integrations/ideogram.md` — API/pricing/MCP, the upload-to-WoopSocial flow. - `image-prompt` — the router; `nano-banana` — the conversational/photoreal image sibling. - `brand-profile` — the visual brand; `carousel-writer`, `caption-writer`, `hook-writer` — copy that pairs with the asset; `veo-3` — animate a still into video (image-to-video). - `scheduling-and-queue` — attach the image to a post and publish. ## References - `references/when-and-how-to-prompt.md` — when to reach for Ideogram vs other tools, and the prompt anatomy. - `references/json-prompting-and-layout.md` — the 4.0 differentiator: structured JSON, bounding boxes, palettes. - `references/text-rendering-and-recipes.md` — the text superpower, transparency/2K, social recipes. - `references/app-editor-and-canvas.md` — the in-app editor workflow: Canvas, Magic Fill, Extend, Style References, Magic Prompt, brand models. - `references/examples.md` — weak→strong, a JSON layout, a text-heavy card, and honest scope.