🚀 Z-Image-Turbo Collection

Ultra-Fast 8-Step Generation • Photorealistic & Anime • All-in-One

License ComfyUI


📦 Models

Model Style FP8 FP16 BF16 Best Sampler
📸 Z-Image-Turbo-AIO Photorealistic ~10GB ~20GB ~20GB res_multistep + simple
🎨 Z-Image-Turbo-Anime Anime ~10GB ~20GB ~20GB euler_ancestral + beta

All models: 8-9 steps • CFG 1.0 • 8GB VRAM compatible


🔧 Workflows

Workflow File Best For
🚀 Standard v1 ZIT-AIO-v1.0.json Simple text-to-image
🚀 Standard v2 ZIT-AIO-v2.0.json Improved upscaler
🎮 ControlNet ZIT-AIO-Control.json Guided generation
🎲 Seed Variance ZIT-AIO-Variance.json Output diversity
🎬 SeedVR2 ZIT-AIO-SeedVR2.json Pro upscaling
🌊 Depth V3 ZIT-AIO-DepthV3.json Depth control + 3D
🎨 Anime ZIT-AIO-Anime.json Anime generation

📸 Z-Image-Turbo-AIO (Photorealistic)

Alibaba Tongyi Lab's 6B parameter photorealistic generator with integrated VAE + Text Encoder.

Features: ⚡ 8-step • 📖 Bilingual EN/CN • 📸 Professional quality

Steps: 9  |  CFG: 1.0  |  Sampler: res_multistep  |  Scheduler: simple

🖼️ CivitAI: BF16 | FP16 | FP8


🎨 Z-Image-Turbo-Anime (NEW!)

Custom anime checkpoint with merged LoRAs for enhanced anime aesthetics.

Features: ⚡ 8-step • 🎨 Enhanced anime style • 🔓 Partially NSFW capable

Steps: 8-9  |  CFG: 1.0  |  Sampler: euler_ancestral  |  Scheduler: beta

🖼️ CivitAI: BF16 | FP16 | FP8


📋 Workflow Details

🚀 Standard v1.0 & v2.0 — Simple text-to-image

Standard Workflow

Standard Workflow Title

Simple text-to-image with upscaler and dual sampler options.

v2.0 Improvements:

  • Enhanced upscaler with denoise control (0.4-0.6)
  • Dual sampler: res_multistep or euler_ancestral
  • Dual scheduler: simple or beta
  • scale_by parameter for output size

Required Nodes: rgthree-comfy, comfyui_image_metadata_extension

Standard Workflow Screenshot

📥 Download: ZIT-AIO-v1.0.json | ZIT-AIO-v2.0.json

🎮 ControlNet — Guided generation with reference images

ControlNet Union Workflow

ControlNet Workflow Title

5 control types for precise composition control.

Control Types:

  • Canny — Edge detection
  • HED — Soft edges
  • Depth — 3D depth
  • Pose — Body pose
  • MLSD — Line detection

Settings:

  • ControlNet strength: 0.6-0.8
  • Megapixel scaling (auto aspect ratio)

Required:

  • ControlNet Union file → ComfyUI/models/model_patches/
  • Download: ControlNet Union

Required Nodes: rgthree-comfy, comfyui_image_metadata_extension, comfyui_controlnet_aux

ControlNet Workflow Screenshot

📥 Download: ZIT-AIO-Control.json

🎲 Seed Variance Enhancer — More diversity from same prompt

Seed Variance Enhancer Workflow

Seed Variance Workflow Title

Adds controlled noise to text embeddings for more varied outputs.

Settings:

randomize_percent: 50
strength: 20-30
noise_insert: 'noise on beginning steps'
steps_switchover_percent: 20

Trade-off: Higher values = more diversity but less prompt adherence

Required Nodes: rgthree-comfy, comfyui_image_metadata_extension, SeedVarianceEnhancer

Seed Variance Workflow Screenshot

📥 Download: ZIT-AIO-Variance.json

🎬 SeedVR2 — Professional diffusion upscaling

SeedVR2 Video Upscaler Workflow

SeedVR2 Workflow Title

DiT-based upscaling with superior quality and temporal consistency.

Settings:

resolution: 1536 (target short edge)
batch_size: 4n+1 (1, 5, 9, 13, 17...)
color_correction: 'lab'

Models: 3B (faster) or 7B (higher quality) • FP16/FP8/GGUF options

Note: Models auto-download to ComfyUI/models/SEEDVR2/

Required Nodes: rgthree-comfy, comfyui_image_metadata_extension, SeedVR2

SeedVR2 Workflow Screenshot

📥 Download: ZIT-AIO-SeedVR2.json

🌊 Depth Anything V3 — Depth control + 3D preview

Depth Anything V3 ControlNet Workflow

Depth V3 Workflow Title

State-of-the-art depth-guided generation with dual modes.

Two Modes:

  1. Generate — Depth-controlled image generation
  2. 3D Preview — View depth as 3D point cloud

Models: da3_small / da3_base / da3_large / da3_giant

  • 8GB VRAM: Use up to da3_large

Note: Models auto-download on first use

Required Nodes: rgthree-comfy, comfyui_image_metadata_extension, Depth Anything 3

Depth V3 Workflow Screenshot

📥 Download: ZIT-AIO-DepthV3.json

🎨 Anime Workflow — For Z-Image-Turbo-Anime

Z-Image-Turbo-Anime Workflow

Anime Workflow Title

Optimized workflow for the anime checkpoint with integrated features.

Includes:

  • Seed Variance Enhancer for diversity
  • SeedVR2 as alternative upscaler
  • Toggle switches for optional features
  • Image comparison nodes

Best Settings:

Sampler: euler_ancestral
Scheduler: beta
Resolution: 832×1216 (portrait) / 1216×832 (landscape)

Required Nodes: rgthree-comfy, comfyui_image_metadata_extension, SeedVarianceEnhancer, SeedVR2

Anime Workflow Screenshot

📥 Download: ZIT-AIO-Anime.json


🔄 FP8 vs FP16 vs BF16

🟡 FP8 (~10GB) 🔵 FP16 (~12GB) 🌟 BF16 (~20GB)
Quality 95% 98% 100%
Speed Fastest Fast Standard
Download Fastest Medium Slowest
Best For Daily use Balanced Final renders

All versions work on 8GB VRAM!


⚙️ Common Settings

# Essential (ALL workflows)
Steps: 8-9
CFG: 1.0  # Don't change!
Negative Prompt: NONE (use ConditioningZeroOut)

# Photorealistic
Sampler: res_multistep
Scheduler: simple

# Anime
Sampler: euler_ancestral
Scheduler: beta

💡 Prompting

Natural language works best! (100-300 words)

✅ Professional food photography of artisan breakfast plate. 
   Golden poached eggs on sourdough toast, crispy bacon, fresh 
   avocado slices. Morning sunlight creating warm glow.

❌ breakfast, eggs, toast, bacon, food photo, delicious

Bilingual Text Rendering:

English: Neon sign reading "COFFEE SHOP" in bright blue letters
Chinese: Sign with "咖啡店" in elegant gold calligraphy

📥 Downloads

Models — Z-Image-Turbo-AIO (Photorealistic)

Precision CivitAI HuggingFace
🌟 BF16 Download This page
🔵 FP16 Download This page
🟡 FP8 Download This page

Models — Z-Image-Turbo-Anime

Precision CivitAI HuggingFace
🌟 BF16 Download This page
🔵 FP16 Download This page
🟡 FP8 Download This page

Additional Downloads

Source Link
🎮 TensorArt tensorart.me

Additional Files

File Link
ControlNet Union HuggingFace
SeedVR2 Models Auto-downloads on first use
Depth Anything V3 Auto-downloads on first use

📦 Custom Nodes

All Required Nodes

Base (all workflows):

ControlNet Workflow:

Seed Variance / Anime Workflow:

SeedVR2 / Anime Workflow:

Depth V3 Workflow:


📁 Files

├── z-image-turbo-fp8-aio.safetensors         # 📸 Photorealistic FP8
├── z-image-turbo-fp16-aio.safetensors        # 📸 Photorealistic FP16
├── z-image-turbo-bf16-aio.safetensors        # 📸 Photorealistic BF16
├── z-image-anime-aio-fp8.safetensors         # 🎨 Anime FP8
├── z-image-anime-aio-fp16.safetensors        # 🎨 Anime FP16
├── z-image-anime-aio-bf16.safetensors        # 🎨 Anime BF16
│
├── workflows/
│   ├── ZIT-AIO-v1.0.json                     # 🚀 Standard v1
│   ├── ZIT-AIO-v2.0.json                     # 🚀 Standard v2
│   ├── ZIT-AIO-Control.json                  # 🎮 ControlNet
│   ├── ZIT-AIO-Variance.json                 # 🎲 Seed Variance
│   ├── ZIT-AIO-SeedVR2.json                  # 🎬 SeedVR2
│   ├── ZIT-AIO-DepthV3.json                  # 🌊 Depth V3
│   └── ZIT-AIO-Anime.json                    # 🎨 Anime
│
├── images/
│   ├── test1-coffee-shop.jpeg                # Photo examples
│   ├── test2-chinese-temple.jpeg
│   ├── test3-sushi.jpeg
│   └── workflows/                            # Workflow images
│       ├── v1-title.png & v1-screenshot.png
│       ├── v2-title.png & v2-screenshot.png
│       ├── control-title.png & control-screenshot.png
│       ├── variance-title.png & variance-screenshot.png
│       ├── seedvr2-title.png & seedvr2-screenshot.png
│       ├── depthv3-title.png & depthv3-screenshot.png
│       └── anime-title.png & anime-screenshot.png

🙏 Credits

Original Model: Tongyi Lab (Alibaba) • 6B S3-DiT • Apache 2.0

AIO Conversion & Anime Merge: SeeSee21

Resources: Original HuggingFaceGitHubComfyUI Files


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