Post Proccessing | Combine

This post-processing image model refines AI-generated visuals with advanced diffusion techniques. It enhances detail, removes artifacts, enforces style, and supports upscaling—ideal when initial renders need polish. You control outcomes via clear prompts, negative prompts to exclude issues, and tunable settings like inference steps, guidance scale, image size, and seed. Start with around 25 steps for good quality, then iterate. Use guidance 7.5–12 to balance fidelity and creativity. Batch multiple candidates at lower quality, select the best, then upscale. Structured JSON I/O makes it easy to integrate into pipelines for design, advertising, product images, and 3D texture or AR/VR workflows.