Wan Refining Fluxmania for More Realism

This article introduces a practical two-pass workflow combining Fluxmania and Wan 2.1 to improve realism in AI-generated images. The first pass uses Fluxmania for its flexibility and rich LoRA library, allowing for detailed and expressive compositions. 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, Illustrious or 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.

Link to the workflow page