PROVEDOR

Ideogram

Ideogram V3 — text-to-image with industry-leading in-image text accuracy for typography and design.

1 models · 7 variants · a partir de $0.070
VISÃO GERAL

Ideogram specializes in text-to-image generation with an emphasis on accurate in-image text rendering. V3 achieves ~90–95% text accuracy for posters, logos, and typography — far ahead of general-purpose image models.

  • Single API key shared across providers
  • Per-call billing, no commitment
  • Gerações com falha não são cobradas
  • Streaming supported where the model supports it
RECURSOS

What stands out

MODELOS

All models from Ideogram

INSTALAR

Start with any Ideogram model.

Pick a model, install the skill, and start calling from any agent.

# Works with Claude Code, Codex, Gemini CLI, Cursor, and 50+ agents
npx skills add runapi-ai/ideogram-v3 -g
The -g flag installs globally so every project picks it up.
Or paste this prompt to your AI agent:
Install the Ideogram V3 skill for me:

1. Clone https://github.com/runapi-ai/ideogram-v3
2. Copy the skills/ideogram-v3/ directory into your
   user-level skills directory (e.g. ~/.claude/skills/
   for Claude Code, ~/.codex/skills/ for Codex).
3. Verify that SKILL.md is present.
4. Confirm the install path when done.
REFERÊNCIA

Every variant from Ideogram

Tabela completa de preços →
Model Variant Billing From
Ideogram V3
ideogram-v3-character call $0.180 Ver →
ideogram-v3-character-edit call $0.180 Ver →
ideogram-v3-character-remix call $0.180 Ver →
ideogram-v3-edit call $0.070 Ver →
ideogram-v3-reframe call $0.070 Ver →
ideogram-v3-remix call $0.070 Ver →
ideogram-v3-text-to-image call $0.070 Ver →
FAQ

Frequently asked questions about Ideogram

Is this an official Ideogram integration?

RunAPI exposes a managed API surface with transparent pricing, capability, and error behavior.

Do I need a Ideogram account?

No. Your RunAPI key is enough for managed access.

How is pricing billed?

Per-call or per-unit metered, with failed generations not charged.

COMEÇAR

Start calling Ideogram models from one API.