ideogram

Original：🇺🇸 English

Translated

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.

5installs

Sourcesocial-media-skills/skills

Added on2026-10-01

NPX Install

npx skill4agent add social-media-skills/skills ideogram

SKILL.md Content

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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.

```
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.