Super Mario

Details

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Model description

Super Mario — Z-Image Turbo LoRA

A character LoRA for Z-Image Turbo bringing everyone's favourite plumber to life with cinematic CGI quality. Clean identity retention, sharp fabric detail, and plays well with a wide range of environments and lighting setups.


Model Details

Base Model Z-Image Turbo (Tongyi-MAI) LoRA Rank 8 Alpha 4 Training Resolution 512px Training Steps 1750 Optimizer AdamW Precision bf16 Trigger Word mrioman


Usage

Trigger Words

mrioman, a 3D CGI style character with short brown hair, wearing a red cap, a black moustache, blue overalls, and white gloves

Example Prompt

masterpiece, absurd res, close up shot of mrioman, a 3D CGI style character with short brown hair, wearing a red cap, a black moustache, blue overalls, and white gloves, sitting comfortably on a grey sofa while holding a slice of pepperoni pizza in one hand and giving a thumbs-up gesture with the other. He has an enthusiastic open-mouthed smile as he watches a video game displayed on a large television screen to his left. The cozy living room background features warm string lights, a lit lamp, bookshelves filled with games, and a window showing it is nighttime outside.

Negative Prompt

(leave empty — Z-Image Turbo does not use negative prompts)

Recommended Settings

Setting Value Sampler res_multistep Scheduler simple Steps 8-9 CFG Scale 1.0 LoRA Strength 0.8 – 1.2 Resolution 768x1280 / 832x1216 / 1024x1024

⚠️ Z-Image Turbo requires CFG 1.0 and no negative prompt. Do not use standard samplers like Euler or DPM — use res_multistep for best results.


Tips

  • Portrait ratio gives the cleanest character renders — try 768x1280

  • LoRA strength 1.0 is the sweet spot for most prompts

  • Drop to 0.8 if colours look oversaturated

  • Push to 1.2 if Mario identity feels weak

  • Works great with indoor environments, game-inspired backgrounds, and toy/collectible aesthetics

  • Background characters from the Mario universe appear naturally at higher strengths


ComfyUI Setup

  1. Place the .safetensors file in ComfyUI/models/loras/

  2. Add a Load LoRA node to your workflow

  3. Connect it between your Z-Image Turbo checkpoint loader and your sampler

  4. Wire both Model and CLIP outputs through the LoRA node

  5. Set strength to 1.0 and prompt with the trigger word


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