- 🆕 Ideogram's latest text-to-image model, released September 2026
- 🏢 Built by Ideogram, which emphasizes multilingual in-image text rendering
- 🎯 Iteration on Ideogram 4.0, offered alongside it on Ideogram's platform
- 📏 The 4.0 generation introduced native 2K-resolution output
- 🔧 Structured JSON prompts with bounding boxes and color palettes
- 🌐 Multilingual in-image typography is a core family focus
- 💬 Optional "magic prompt" expansion turns plain text into structured captions
- 🧠 Paired with a matching inpainting/editing variant for revisions
Ideogram is a text-to-image AI company founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho. The team set out to build a generative image model with a particular strength that many rivals struggled with: rendering legible, accurate text directly…
Explore 1 more model by Ideogram (text-to-image model) →Ideogram V4.5 is the current text-to-image model from Ideogram, a lab whose models emphasize multilingual in-image text rendering. It arrives as a point-release refinement of Ideogram V4, and Ideogram's own site lists both 4.0 and 4.5 as the models behind its apps, Studio, and API.
The 4.x generation marked a significant architectural reset for the family. According to Ideogram's model card and technical blog, Ideogram 4 is a foundation model trained entirely from scratch rather than a fine-tune or distillation, and it introduced a structured JSON prompting interface with explicit bounding-box layout control, per-element color palettes, strong multilingual text rendering, and native 2K image output. The text encoder is a vision-language model (Qwen3-VL-8B-Instruct), with the diffusion transformer consuming hidden states from 13 of its intermediate layers, and training used JSON captions exclusively, so the inference-time format matches what the model saw during training. Sampler presets trade steps for speed, from a short turbo configuration up to a 48-step quality preset.
V4.5 continues that interface and design-oriented focus, with a companion editing model, Ideogram V4.5 (edit), for inpainting and targeted revisions to existing images. Ideogram has not published a separate technical card for the 4.5 point release, so no documented quality deltas over 4.0 are available. The family is typically applied to typography-heavy layouts such as posters, packaging and UI mockups.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Ideogram V4.5 · Organic sellers
| Seller | Health | Rep↓ | Sales | Images | Routing | $ / img | Save |
|---|---|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | — | 81.71 | $1.66 | 13 | #1 | $0.1274 | −51% |
| attacompute.ai 0xd5e7…7be0 | healthy | 51.22 | $1.51 | 4 | gated | $0.3775 | — |
"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.