Overview

Krea 2 Turbo is the distilled, few-step release checkpoint of the Krea 2 text-to-image model family from Krea.ai. It is a diffusion transformer with roughly 12 billion parameters that generates images from natural-language prompts. Turbo is post-trained and distilled from the Krea 2 Raw base checkpoint, so it produces high-quality images in far fewer sampling steps, making it well suited to fast, interactive generation.

Key Features

• Few-step generation: distillation lets Turbo render detailed images in a handful of inference steps instead of the dozens a base diffusion model typically needs.
• Strong prompt following across photographic, illustrative, painterly, and stylized outputs.
• High-resolution synthesis suitable for detailed, print-quality imagery.
• Broad stylistic range, from photorealism and impressionist painting to retro, halftone, and low-poly aesthetics.

Use Cases

Krea 2 Turbo is designed for creative, commercial, developer, and research workflows, including image generation, concepting, design exploration, visual production, and integration into applications and creative tools. Its low step count makes it a good fit for real-time or high-throughput generation where latency matters.

Architecture

Krea 2 is a text-to-image diffusion transformer with about 12 billion parameters. The family ships two open-weight checkpoints: Krea 2 Raw, the base release prior to additional post-training, and Krea 2 Turbo, the post-trained and distilled checkpoint optimized for few-step sampling. Turbo pairs the diffusion transformer with a text encoder and VAE for end-to-end text-to-image synthesis.

Model Family

This entry deploys Krea 2 Turbo. The base checkpoint it is distilled from is published as Krea 2 Raw, and the full release is available at Krea on Hugging Face.