Krea2 RAW-Turbo High/Low Noise Sampling

This is an advanced Krea2 image generation workflow built around RAW-to-Turbo high/low noise sampling with SplitSigmas.

The workflow first uses the Krea2 RAW model to establish the initial structure, composition, and large-scale visual direction. A full RAW sigma schedule is generated, then SplitSigmas separates it into high-noise and low-noise stages. The RAW model handles the high-noise stage, while the Krea2 Turbo model takes over the low-noise stage to refine, stabilize, and complete the image.

Unlike a basic RAW-to-Turbo workflow, this pipeline explicitly controls which part of the sampling schedule is handled by RAW and which part is handled by Turbo. RAW is used for early structure formation, while Turbo is used for later convergence and detail organization. This gives the workflow stronger control over composition, structure, texture formation, and final image stability.

After the RAW-to-Turbo handoff, the workflow continues with latent upscaling, Turbo-based low-denoise refinement, image-level upscaling, VAE re-encoding, and a final Turbo cleanup pass. The result is a more polished ultra-wide image with stronger structure, richer detail, and better final usability than a simple single-pass Krea2 Turbo generation.

This workflow is suitable for high-end fantasy illustration, cinematic worldbuilding, ultra-wide poster generation, Krea2 RAW/Turbo sampling experiments, advanced image refinement, and high-quality visual production tests.