Red-Z-Image-AIO-1.5
Community-optimized all-in-one version of Alibaba's Z-Image-Turbo, integrating full components for easy setup, enhanced performance, Chinese prompt adherence, and dedicated NSFW fine-tuning with detail optimization for specific body parts.
Overview
Red-Z-Image-AIO-1.5 is a community-enhanced version of the official Z-Image-Turbo model, built on the S³-DiT single-stream diffusion architecture. It addresses key pain points like setup complexity, performance on low-end hardware, and creator-specific needs, including specialized NSFW tuning for realistic rendering of human anatomy.
Features
- One-click integration of all components (model, encoder, VAE, plugins) for ComfyUI and SD WebUI
- Optimized inference for 21.7% faster generation (1.8s on RTX 4090) and 11.5% lower VRAM usage
- 94% Chinese prompt adherence with enhanced traditional aesthetics and cultural elements
- Dedicated NSFW fine-tuning with detail optimization for specific body parts, improving skin texture, light-shadow, and anatomical accuracy
- Built-in style locking for consistent batch generation
- Full compatibility with ControlNet, IP-Adapter, LoRA, and 8 built-in prompt templates
Images




Installation
Download from ModelScope or GitHub. Unzip and place in ComfyUI/models/checkpoints or SD WebUI/models/Stable-diffusion. No additional configuration required.
Usage
Use standard prompts with CFG 7-9, 20-30 steps. For NSFW, include descriptive terms for body parts; enable style lock for batches. Supports 512x512 to 1024x1024 resolutions.
Requirements
- Python 3.8+
- PyTorch 2.0+
- ComfyUI or Stable Diffusion WebUI
- NVIDIA GPU with 6GB+ VRAM (RTX 3060 compatible)
- CUDA 11.8+
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