This worflow introduces a practical two-pass combining Fluxmania and Wan 2.1 to improve realism in AI-generated images. The first pass uses Fluxmania, the second pass applies Wan 2.1 to refine contrast, saturation, and structure, bringing the output closer to photographic realism.

This method works not only with Fluxmania but also with other Flux-based models like Illustrious and SDXL. While Wan’s LoRA support is still limited, its strength lies in subtle refinement, making it a useful complement to the creative range offered by Flux. Comparative examples and workflow details are provided to illustrate the benefits of this approach.

🔧 The workflow file is attached to this post. 💻 It runs smoothly on a setup with 8GB VRAM and 32GB RAM.