Krea-2-Turbo

Krea 2 Text-to-Image Model Inference with the official codebase Setup the official Krea 2 codebase Download turbo.safetensors in this repo export OSS_TURBO= Run inference: uv run inference.py "a fox walking in the snow" \ checkpoint oss_turbo --steps 8 --cfg 0.0 --mu 1.15 --width 2048 --height 2048 Inference with diffusers Install diffusers from source (for Krea2Pipeline): pip install git+https://github.com/huggingface/diffusers.git import torch from diffusers import Krea2Pipeline pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda") image = pipe("a fox in the snow", num_inference_steps=8, guidance_scale=0.0).images[0] image.save("krea2.png") Inference with SGLang Install SGLang from source (https://github.com/sgl-project/sglang) From the CLI: sglang generate --model-path krea/Krea-2-Turbo \ prompt "a red fox sitting in fresh snow, golden hour, photorealistic" \ num-inference-steps 8 --height 1024 --width 1024 --save-output See the full SGLang Krea 2 Cookbook here Model Overview Model Name: Krea 2 Version: v1.0 Release Date: June 22, 2026 Model Type: Text-to-image diffusion model Architecture: Diffusion Transformer with 12 billion parameters License: Krea 2 Community License Release Format: Open-weight release and Krea-hosted product integrations Model Developer: Krea.ai, Inc. Model Family and Release Checkpoints This model card covers the Krea 2 model family, including the following release checkpoints: Krea 2 Raw: Base release checkpoint, prior to additional post-training and fine-tuning. Krea 2 Turbo: Post-trained release checkpoint with additional fine-tuning and distillation. Capabilities and Intended use Krea 2 is a text-to-image diffusion model that generates images from natural-language text descriptions. The model is designed to support creative, commercial, developer, and research use cases, including image generation, concepting, design exploration, visual production workflows, and integration into applications a