Krea-2-Realism-LoRA Brings Candid Photorealism to Krea 2
Overview
Krea-2-Realism-LoRA is a Low-Rank Adaptation module trained by gokaygokay that specializes in pushing Krea 2 toward natural, candid, photorealistic imagery of everyday subjects without requiring explicit style keywords like "photorealistic" or "8k DSLR." The model was trained using the FAL Krea LoRA Trainer on krea/Krea-2-Raw and runs on krea/Krea-2-Turbo, following Krea's recommended workflow of training on the Raw checkpoint and inference on the Turbo distilled version. The LoRA operates within the diffusers library framework and requires no trigger word—users simply provide descriptive natural language prompts. The architecture leverages Krea 2's transformer-based diffusion model, allowing efficient style transfer through low-rank weight updates rather than full model retraining. Works optimally at 1024–1536px on the short side, with example outputs generated at 1280×1600 resolution using 8 inference steps and zero guidance scale.
Best use cases
Documentary-style portrait photography.This LoRA excels at rendering convincing portraits of people in authentic moments—someone taking a...
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