🚀 Z-Image-Turbo Advanced Workflows

By sphiratrioth666

Enhanced workflows with sliders, multi-LoRA, VRAM management, and professional detailing.

work - these are serious upgrades! 🚀

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🎉 Advanced Workflows by sphiratrioth666

These workflows were modified and enhanced by user sphiratrioth666, based on the original Z-Image-Turbo-AIO workflows.

He integrated meaningful improvements and created an entirely new DETAILER workflow with SAM2 + SEGS!

Big thanks and full credits go to him! 🙏

Check out his work - these are serious upgrades! 🚀

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📦 Three Workflow Variants:

1. 🎨 Txt2Img (Advanced)

Pure text-to-image with advanced controls

Key Features:

• Interactive sliders (CFG, Steps, Denoise, Upscale)

• 4 LoRA slots with individual strength controls

• PURGE VRAM automatic cleanup

• Play/Stop regeneration system (save only finals!)

• 2D resolution slider (3:4, 4:3, 16:9)

• Improved preview/save order (LQ → HQ)

Use when: You want maximum control over text-to-image generation

Extra nodes: MXToolkit, LayerUtility

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2. 🎮 Img2Img + ControlNet

ControlNet precision with advanced controls

Key Features:

• All Txt2Img features PLUS:

• ControlNet Union (Canny, Depth, Pose, HED, MLSD)

• Megapixel scaling (auto aspect ratio)

• ControlNet strength slider

• Input image guidance

Use when: You need precise control with reference images

Extra downloads: ControlNet Union file (~2.5GB) Save in: ComfyUI/models/model_patches/

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3. ✨ Img2Img + ControlNet + DETECTION

Professional pipeline with selective detailing

Key Features:

• Everything from Img2Img PLUS:

• SAM2 auto-segmentation (face, hands, details)

• SEGS selective detailer

• Model upscaler (4x to 10K resolution)

• Grain addition for photographic look

• Smart resize to 2K/4K (reasonable file size)

• Multiple PURGE VRAM nodes

Use when: You need maximum quality for final outputs

Extra nodes: Impact Pack, SAM2 Extra downloads: Upscaler model, SAM2 model

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🆚 Quick Comparison:

| Feature | Txt2Img | Img2Img | Detailer |

|---------|---------|---------|----------|

| Input Image | ❌ | ✅ | ✅ |

| ControlNet | ❌ | ✅ | ✅ |

| SEGS Detailer | ❌ | ❌ | ✅ |

| Complexity | Simple | Medium | Advanced |

| Speed | Fast (3-5s) | Medium (5-10s) | Slow (20-60s) |

| Quality | High | Higher | Maximum |

| Use Case | Quick gens | Controlled gens | Final portfolio |

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🎯 When to Use Which:

Choose Txt2Img when:

✅ Pure text-to-image generation
✅ Quick iterations and testing
✅ Multiple LoRAs experimentation
✅ Don't need reference images

Choose Img2Img + ControlNet when:

✅ Have reference/input image
✅ Need pose/composition control
✅ Sketch-to-photo conversion
✅ Architectural work
✅ Want guided generation

Choose Detailer when:

✅ Creating portfolio pieces
✅ Professional/commercial work
✅ Need perfect face/hand details
✅ Want photorealistic texture
✅ Maximum quality required
✅ Don't mind longer processing

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✨ Shared Features (All 3):

🎛️ Interactive Sliders:

• CFG, Steps, Denoise

• LoRA strengths (4 slots)

• Upscale parameters

• ControlNet strength (Img2Img variants)

🔄 Play/Stop System:

• Green PLAY = Generate/regenerate

• Purple SAVE = Save final only

• No cluttered saves folder!

🧹 PURGE VRAM:

• Automatic cleanup after generation

• Prevents memory buildup

• Better performance on all GPUs

📦 Multi-LoRA:

• 4 LoRA slots

• Individual strength sliders

• Easy on/off (set to 0.0)

📸 Metadata:

• Auto-saved to images

• Easy CivitAI uploads

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📥 Downloads:

Main Model:
Z-Image-Turbo-AIO FP8/BF16

ControlNet Union (for Img2Img variants):
HuggingFace Download
⚠️ Save in: ComfyUI/models/model_patches/

Test Online:
TensorArt (FP8)

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🎯 Required Custom Nodes:

All Workflows:

• MXToolkit - Sliders & controls

• rgthree-comfy - LoRA stack

• LayerUtility - PURGE VRAM

• comfyui_image_metadata_extension

Img2Img + ControlNet:

• comfyui_controlnet_aux - Preprocessors

• ⚠️ ComfyUI 3.77+ required!

Detailer:

• Impact Pack - SEGS detailer

• SAM2 - Segmentation

• ⚠️ ComfyUI 3.77+ required!

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⚙️ Settings (All Workflows):

Steps: 9 (slider adjustable)
CFG: 1.0 (slider adjustable)
Sampler: res_multistep or euler_ancestral
Scheduler: simple or beta
NO negative prompts needed

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💡 Pro Tips:

Slider Workflow:

• Start with defaults, adjust as needed

• Set LoRA to 0.0 to disable

• Use PLAY to test variations

• Only SAVE final results

ControlNet Strength:

• 0.3-0.5 = Subtle guidance

• 0.6-0.8 = Balanced (recommended)

• 0.9-1.0 = Strong control

Detailer:

• Best with 1024px+ input

• Let SAM2 auto-detect regions

• Grain at 10K = most natural

• Downscale to 2K/4K recommended

PURGE VRAM:

• Runs automatically

• Helps weaker GPUs

• Prevents memory issues

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🎨 Example Workflow:

Quick Test (Txt2Img):

1. Load 1-2 LoRAs → 2. Write prompt → 3. PLAY → 4. Adjust sliders → 5. PLAY again → 6. SAVE

Controlled Gen (Img2Img):

1. Upload reference → 2. Choose preprocessor → 3. Load LoRAs → 4. Write prompt → 5. Adjust strength → 6. PLAY → 7. SAVE

Final Polish (Detailer):

1. Upload input → 2. Set up ControlNet → 3. Load LoRAs → 4. Write prompt → 5. PLAY (wait 30-60s) → 6. SAVE 2K/4K

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❓ FAQ:

Q: Which workflow should I start with?
A: Txt2Img for learning, Img2Img for control, Detailer for finals.

Q: Do I need all custom nodes for all workflows?
A: No - each workflow lists its specific requirements.

Q: What's MXToolkit?
A: Provides the slider interface. Makes adjustments easier.

Q: Why PURGE VRAM?
A: Cleans memory after generation. Especially helpful on 8GB cards.

Q: Detailer too slow?
A: Yes, it's intensive. Use only for final images, not testing.

Q: Can I use original workflows instead?
A: Yes! These are advanced versions. Original workflows still work great.

Q: MXToolkit not working with ComfyUI 2.0?
A: Disable Node 2.0 interface for now. MXToolkit compatibility coming.

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🙏 Credits:

Advanced Workflows: sphiratrioth666
Original Workflows: SeeSeeLP
Base Model: Tongyi Lab (Alibaba Group) - Z-Image-Turbo
License: Apache 2.0

Big thanks to sphiratrioth666 for the amazing enhancements! 🎉

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📊 System Requirements:

Minimum:

• VRAM: 8GB (all workflows tested on RTX 4060)

• RAM: 16GB (32GB recommended for Detailer)

• ComfyUI: 3.77+ (for ControlNet/Detailer)

Detailer additionally needs:

• More processing time (~30-60s)

• SAM2 and upscaler models

• Patience! 😄

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Updated: December 2025
Compatible: Z-Image-Turbo-AIO FP8 & BF16
Tested: RTX 4060 8GB, RTX 5090

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"I upgraded your Z-Image workflow by a lot" - sphiratrioth666

Try all three workflows and find your perfect setup! 🚀