- 🖼️ Speed-focused image generation model from Krea
- ⚡ "Turbo" tuning prioritizes fast, low-latency renders
- 🎨 Built for rapid creative and design iteration
- 🏢 Part of Krea.ai's second-generation image lineup
- 🎯 Newest entry in the Krea Turbo line
Krea is a company building generative artificial intelligence products, with a focus on image generation and creative visual tooling. Its work centers on producing high-quality AI imagery through models designed for both fidelity and speed.
Explore 2 more models by Krea →Krea 2 Turbo is Krea.ai's speed-optimized image generation model, released in June 2026 as the newest member of the studio's Turbo line. The "Turbo" designation signals a focus on fast, low-latency rendering — trading some of the heavier compute of full-size models for quicker turnaround, making it well suited to rapid ideation, previewing, and high-volume creative workflows.
Within Krea's current second-generation lineup, Krea 2 Turbo sits alongside Krea v2 Large and Krea v2 Medium (both released May 2026), which target higher-fidelity and balanced generation respectively. Where those models lean toward maximum quality or a middle ground, Krea 2 Turbo carves out the responsiveness niche, giving users a faster option when iteration speed matters more than squeezing out every last detail.
It is best suited for designers and creators who need quick visual drafts, interactive exploration, and fast feedback loops — and a natural complement to the larger Krea models when a project moves from rough concepting toward final, higher-resolution renders.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | $ / img | Categories | API |
|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 100.00 | #1 | $0.02 | image,creative | openai-images |
| ▲ Apex Ant 0x73b4…e736 | 91.01 | #2 | $0.02 | image,media | openai-images |
| D5V1N2 0xd5e7…7be0 | 33.17 | gated | $0.0465 | image,creative,fast,router,fallback | openai-images |
"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 = on-chain trust (0-100). "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.