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
Place the
.safetensorsfile inComfyUI/models/loras/Add a Load LoRA node to your workflow
Connect it between your Z-Image Turbo checkpoint loader and your sampler
Wire both Model and CLIP outputs through the LoRA node
Set strength to 1.0 and prompt with the trigger word
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