These workflows are optimized for <a target="_blank" rel="ugc" href="https://civarchive.com/models/932505/nanomix-multiverse-remix">NanoMix</a>, but they work equally well with other Illustrious-based models such as <a target="_blank" rel="ugc" href="https://civarchive.com/models/140272/hassaku-xl-illustrious">Hassaku</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/1277670/janku-trained-noobai-rouwei-illustrious-xl">Janku</a>, <a target="_blank" rel="ugc" href="https://civarchive.com/models/376130/nova-anime-xl">Nova</a>, and <a target="_blank" rel="ugc" href="https://civarchive.com/models/827184/wai-illustrious-sdxl">WAI</a> — so feel free to use them with whatever checkpoint fits your style! They use RealESRGAN-2x for upscaling, available in the ComfyUI Manager or on <a target="_blank" rel="ugc" href="https://openmodeldb.info/models/2x-realesrgan-x2plus">OpenModelDB</a>.Single-Character Workflows:The single-character workflows are built entirely with ComfyUI's native nodes — no custom nodes required. I’ve organized them into clean, minimal node groups to keep things simple, so you can focus on prompting without getting bogged down in technical details. They're ideal for single-character generations and straightforward compositions. Use Deathspike.Portrait for portraits and Deathspike.Wallpaper for wallpapers.Multi-Character Workflows:The multi-character workflows are designed for two or more characters, while keeping each character distinct and prompt-accurate. They use my <a target="_blank" rel="ugc" href="https://github.com/Deathspike/ComfyUI-TiledAttentionCouple">Tiled Attention Couple</a> custom node and are organized into minimal node groups to stay as clean and user-friendly as possible. You can start with a simple two-character setup, and then expand it to support three, four, or more. Use Deathspike.Portrait.Tiled for portraits and Deathspike.Wallpaper.Tiled for wallpapers.

Deathspike's Minimalist Single & Multi-Character Workflows

Added new tile shuffling feature.

Files with SHA256: 58b5dcb3143b09c820a822236b80992b5916d46f283b58bc11ec808f7781efd2