Krea-2-Raw

Krea 2 Text-to-Image Model This is the Krea 2 Raw checkpoint, its not recommended for inference use. Its a good base for finetuning or post-training for your own needs and domains. For example, one use-case is to train LoRAs on midtrain and directly use them on Krea 2 Turbo. See our collection of in-house trained LoRAs trained on Raw and meant to be used with Turbo: Krea-2 LoRA Collection Inference with the official codebase Setup the official Krea 2 codebase Download raw.safetensors in this repo export OSS_RAW= Run inference: uv run inference.py "a fox walking in the snow" \ checkpoint oss_raw --steps 52 --cfg 3.5 --width 1024 --height 1024 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-Raw", torch_dtype=torch.bfloat16).to("cuda") image = pipe("a fox in the snow", num_inference_steps=52, guidance_scale=3.5).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-Raw \ prompt "a red fox sitting in fresh snow, golden hour, photorealistic" \ num-inference-steps 52 --height 1024 --width 1024 --guidance-scale 3.5 --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-tunin