Krea2 | Three-stage rendering text-to-image

This is an AI text-to-image application based on Krea2 Turbo three-stage latent enlargement and high-definition refinement.

Users only need to input a scene prompt, and the system will first generate a base image, then automatically perform latent space enlargement and three rounds of redrawing and refinement, ultimately outputting a clearer, more stable, and more complete high-definition image.

Unlike ordinary single-pass Krea2 text-to-image generation, this process does not end after a single sampling but adopts a two-stage structure. The first stage is responsible for establishing the main subject, scene, composition, and lighting relationships of the image; the second stage continues refinement on the enlarged latent space, using lower denoise values to preserve the original image structure while enhancing details, textures, edge sharpness, and overall completeness.

The entire process is automated: Krea2 Turbo model loading, Qwen3VL text encoding, Krea2 Rebalance quality enhancement, 9:16 base aspect ratio creation, first-stage 8-step generation, latent 1.5x enlargement, second-stage 8-step high-definition refinement, Qwen Image VAE decoding, image preview, and final saving.

The current default parameters are suitable for creating vertical cinematic posters, character covers, fantasy scene illustrations, short video covers, mobile wallpapers, concept visuals, and Krea2-generated images that require higher-definition details.