krea-ai/krea-2

Official inference code for Krea 2

What it solves

Krea 2 provides a high-aesthetic, open-source text-to-image generation system designed for creative and stylistic exploration. It addresses the need for a model that is both high-quality for end-users and highly flexible for developers who want to fine-tune the model for specific styles.

How it works

The system consists of two complementary models:

  • Krea 2 RAW: A base, undistilled pretrained checkpoint. Because it lacks distillation, it is diverse and malleable, making it the ideal foundation for fine-tuning, post-training, and LoRA training.
  • Krea 2 Turbo: An 8-step distilled checkpoint optimized for fast, high-quality image generation.

Users are encouraged to train LoRAs on the RAW model and then apply those LoRAs to the Turbo model for efficient inference.

Who it’s for

This project is for digital artists, AI researchers, and developers who need high-resolution (up to 2k) image generation and the ability to customize the model's output via fine-tuning.

Highlights

  • Dual-Model Architecture: Separate models for training (RAW) and fast inference (Turbo).
  • High Resolution: Supports generation from 1k up to 2k resolution.
  • Performance: Ranked as a top text-to-image model from an independent lab on Artificial Analysis.
  • Flexible Ecosystem: Compatible with ComfyUI, SGLang, and various fine-tuning toolkits like Huggingface Diffusers and Kohya.

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