Duplicate from SeeSee21/Z-Image-Turbo-AIO

Co-authored-by: Sebastian Böhnke <SeeSee21@users.noreply.huggingface.co>

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README.md

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+---
+license: apache-2.0
+language:
+- en
+- zh
+base_model:
+- Tongyi-MAI/Z-Image-Turbo
+pipeline_tag: text-to-image
+tags:
+- text-to-image
+- image-generation
+- diffusion
+- comfyui
+- photorealistic
+- bilingual
+- chinese
+- english
+- 8-step
+- fast-generation
+---
+
+# 🚀 Z-Image-Turbo Collection
+
+**Ultra-Fast 8-Step Generation • Photorealistic & Anime • All-in-One**
+
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![ComfyUI](https://img.shields.io/badge/ComfyUI-Compatible-green.svg)](https://github.com/comfyanonymous/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](#-standard-v10--v20) | `ZIT-AIO-v1.0.json` | Simple text-to-image |
+| 🚀 [Standard v2](#-standard-v10--v20) | `ZIT-AIO-v2.0.json` | Improved upscaler |
+| 🎮 [ControlNet](#-controlnet) | `ZIT-AIO-Control.json` | Guided generation |
+| 🎲 [Seed Variance](#-seed-variance-enhancer) | `ZIT-AIO-Variance.json` | Output diversity |
+| 🎬 [SeedVR2](#-seedvr2) | `ZIT-AIO-SeedVR2.json` | Pro upscaling |
+| 🌊 [Depth V3](#-depth-anything-v3) | `ZIT-AIO-DepthV3.json` | Depth control + 3D |
+| 🎨 [Anime](#-anime-workflow) | `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
+
+```yaml
+Steps: 9  |  CFG: 1.0  |  Sampler: res_multistep  |  Scheduler: simple
+```
+
+🖼️ **CivitAI:** [BF16](https://civitai.com/models/2173571?modelVersionId=2447693) | [FP16](https://civitai.com/models/2173571?modelVersionId=2550362) | [FP8](https://civitai.com/models/2173571?modelVersionId=2448013)
+
+---
+
+## 🎨 Z-Image-Turbo-Anime (NEW!)
+
+Custom anime checkpoint with merged LoRAs for enhanced anime aesthetics.
+
+**Features:** ⚡ 8-step • 🎨 Enhanced anime style • 🔓 Partially NSFW capable
+
+```yaml
+Steps: 8-9  |  CFG: 1.0  |  Sampler: euler_ancestral  |  Scheduler: beta
+```
+
+🖼️ **CivitAI:** [BF16](https://civitai.com/models/2259646?modelVersionId=2543657) | [FP16](https://civitai.com/models/2259646?modelVersionId=2550879) | [FP8](https://civitai.com/models/2259646?modelVersionId=2544019)
+
+---
+
+## 📋 Workflow Details
+
+<details>
+<summary><b>🚀 Standard v1.0 & v2.0</b> — Simple text-to-image</summary>
+
+### Standard Workflow
+
+![Standard Workflow Title](images/workflows/v2-title.png)
+
+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](images/workflows/v2-screenshot.png)
+
+📥 **Download:** [ZIT-AIO-v1.0.json](workflows/ZIT-AIO-v1.0.json) | [ZIT-AIO-v2.0.json](workflows/ZIT-AIO-v2.0.json)
+
+</details>
+
+<details>
+<summary><b>🎮 ControlNet</b> — Guided generation with reference images</summary>
+
+### ControlNet Union Workflow
+
+![ControlNet Workflow Title](images/workflows/control-title.png)
+
+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](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union)
+
+**Required Nodes:** rgthree-comfy, comfyui_image_metadata_extension, comfyui_controlnet_aux
+
+![ControlNet Workflow Screenshot](images/workflows/control-screenshot.png)
+
+📥 **Download:** [ZIT-AIO-Control.json](workflows/ZIT-AIO-Control.json)
+
+</details>
+
+<details>
+<summary><b>🎲 Seed Variance Enhancer</b> — More diversity from same prompt</summary>
+
+### Seed Variance Enhancer Workflow
+
+![Seed Variance Workflow Title](images/workflows/variance-title.png)
+
+Adds controlled noise to text embeddings for more varied outputs.
+
+**Settings:**
+```yaml
+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](https://github.com/ChangeTheConstants/SeedVarianceEnhancer)
+
+![Seed Variance Workflow Screenshot](images/workflows/variance-screenshot.png)
+
+📥 **Download:** [ZIT-AIO-Variance.json](workflows/ZIT-AIO-Variance.json)
+
+</details>
+
+<details>
+<summary><b>🎬 SeedVR2</b> — Professional diffusion upscaling</summary>
+
+### SeedVR2 Video Upscaler Workflow
+
+![SeedVR2 Workflow Title](images/workflows/seedvr2-title.png)
+
+DiT-based upscaling with superior quality and temporal consistency.
+
+**Settings:**
+```yaml
+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](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler)
+
+![SeedVR2 Workflow Screenshot](images/workflows/seedvr2-screenshot.png)
+
+📥 **Download:** [ZIT-AIO-SeedVR2.json](workflows/ZIT-AIO-SeedVR2.json)
+
+</details>
+
+<details>
+<summary><b>🌊 Depth Anything V3</b> — Depth control + 3D preview</summary>
+
+### Depth Anything V3 ControlNet Workflow
+
+![Depth V3 Workflow Title](images/workflows/depthv3-title.png)
+
+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](https://github.com/ByteDance-Seed/Depth-Anything-3)
+
+![Depth V3 Workflow Screenshot](images/workflows/depthv3-screenshot.png)
+
+📥 **Download:** [ZIT-AIO-DepthV3.json](workflows/ZIT-AIO-DepthV3.json)
+
+</details>
+
+<details>
+<summary><b>🎨 Anime Workflow</b> — For Z-Image-Turbo-Anime</summary>
+
+### Z-Image-Turbo-Anime Workflow
+
+![Anime Workflow Title](images/workflows/anime-title.png)
+
+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:**
+```yaml
+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](images/workflows/anime-screenshot.png)
+
+📥 **Download:** [ZIT-AIO-Anime.json](workflows/ZIT-AIO-Anime.json)
+
+</details>
+
+---
+
+## 🔄 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
+
+```yaml
+# 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](https://civitai.com/models/2173571?modelVersionId=2447693) | This page |
+| 🔵 FP16 | [Download](https://civitai.com/models/2173571?modelVersionId=2550362) | This page |
+| 🟡 FP8 | [Download](https://civitai.com/models/2173571?modelVersionId=2448013) | This page |
+
+### Models — Z-Image-Turbo-Anime
+
+| Precision | CivitAI | HuggingFace |
+|-----------|---------|-------------|
+| 🌟 BF16 | [Download](https://civitai.com/models/2259646?modelVersionId=2543657) | This page |
+| 🔵 FP16 | [Download](https://civitai.com/models/2259646?modelVersionId=2550879) | This page |
+| 🟡 FP8 | [Download](https://civitai.com/models/2259646?modelVersionId=2544019) | This page |
+
+### Additional Downloads
+
+| Source | Link |
+|--------|------|
+| 🎮 TensorArt | [tensorart.me](https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8) |
+
+### Additional Files
+
+| File | Link |
+|------|------|
+| ControlNet Union | [HuggingFace](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union) |
+| SeedVR2 Models | Auto-downloads on first use |
+| Depth Anything V3 | Auto-downloads on first use |
+
+---
+
+## 📦 Custom Nodes
+
+<details>
+<summary><b>All Required Nodes</b></summary>
+
+**Base (all workflows):**
+- [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)
+- [comfyui_image_metadata_extension](https://github.com/edelvarden/comfyui_image_metadata_extension)
+
+**ControlNet Workflow:**
+- [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
+
+**Seed Variance / Anime Workflow:**
+- [SeedVarianceEnhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer)
+
+**SeedVR2 / Anime Workflow:**
+- [SeedVR2](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler)
+
+**Depth V3 Workflow:**
+- [Depth Anything 3](https://github.com/ByteDance-Seed/Depth-Anything-3)
+
+</details>
+
+---
+
+## 📁 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](https://huggingface.co/SeeSee21)
+
+**Resources:**
+[Original HuggingFace](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) •
+[GitHub](https://github.com/Tongyi-MAI/Z-Image) •
+[ComfyUI Files](https://huggingface.co/Comfy-Org/z_image_turbo)
+
+---
+
+**Download → Load Checkpoint → Generate!** 🚀
+---
+
+<div align="center">
+
+**Download, load with "Load Checkpoint", and generate professional photos in seconds! 🚀**
+
+</div>

config.json

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+{
+  "model_type": "z-image-turbo",
+  "architecture": "S3-DiT",
+  "parameters": "6B",
+  "license": "apache-2.0",
+  "base_model": "Tongyi-MAI/Z-Image-Turbo",
+  "models": {
+    "photorealistic": {
+      "fp8": "z-image-turbo-fp8-aio.safetensors",
+      "bf16": "z-image-turbo-bf16-aio.safetensors"
+    },
+    "anime": {
+      "fp8": "z-image-anime-aio-fp8.safetensors",
+      "bf16": "z-image-anime-aio-bf16.safetensors"
+    }
+  },
+  "workflows": {
+    "standard_v1": "workflows/ZIT-AIO-v1.0.json",
+    "standard_v2": "workflows/ZIT-AIO-v2.0.json",
+    "controlnet": "workflows/ZIT-AIO-Control.json",
+    "variance": "workflows/ZIT-AIO-Variance.json",
+    "seedvr2": "workflows/ZIT-AIO-SeedVR2.json",
+    "depthv3": "workflows/ZIT-AIO-DepthV3.json",
+    "anime": "workflows/ZIT-AIO-Anime.json"
+  },
+  "recommended_settings": {
+    "photorealistic": {
+      "steps": 9,
+      "cfg": 1.0,
+      "sampler": "res_multistep",
+      "scheduler": "simple"
+    },
+    "anime": {
+      "steps": 8,
+      "cfg": 1.0,
+      "sampler": "euler_ancestral",
+      "scheduler": "beta"
+    }
+  }
+}

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workflows/ZIT-AIO-Anime.json

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+  "revision": 0,
+  "last_node_id": 80,
+  "last_link_id": 141,
+  "nodes": [
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+      "id": 12,
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+        "collapsed": false
+      },
+      "order": 38,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "samples",
+          "type": "LATENT",
+          "link": 10
+        },
+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": 81
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "slot_index": 0,
+          "links": [
+            13,
+            64
+          ]
+        }
+      ],
+      "title": "🎨 VAE Decode",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.48",
+        "Node name for S&R": "VAEDecode",
+        "ue_properties": {
+          "version": "7.0.1",
+          "widget_ue_connectable": {}
+        },
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65
+      },
+      "widgets_values": [],
+      "color": "#2d1b3a",
+      "bgcolor": "#4a2d5a"
+    },
+    {
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+        "Node name for S&R": "SeedVR2LoadVAEModel"
+      },
+      "widgets_values": [
+        "ema_vae_fp16.safetensors",
+        "cuda:0",
+        true,
+        1024,
+        128,
+        true,
+        1024,
+        128,
+        "false",
+        "cpu",
+        false
+      ],
+      "color": "#4d1a3d",
+      "bgcolor": "#702a5c"
+    },
+    {
+      "id": 29,
+      "type": "Reroute",
+      "pos": [
+        19130,
+        6970
+      ],
+      "size": [
+        75,
+        26
+      ],
+      "flags": {},
+      "order": 13,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "",
+          "type": "*",
+          "link": 76
+        }
+      ],
+      "outputs": [
+        {
+          "name": "",
+          "type": "VAE",
+          "links": [
+            33
+          ]
+        }
+      ],
+      "properties": {
+        "showOutputText": false,
+        "horizontal": false,
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "version": "7.4.1",
+          "input_ue_unconnectable": {}
+        }
+      },
+      "color": "#4d2d1a",
+      "bgcolor": "#704a2a"
+    },
+    {
+      "id": 35,
+      "type": "MarkdownNote",
+      "pos": [
+        19110,
+        7640
+      ],
+      "size": [
+        250,
+        310
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "📐 Resolution Guide",
+      "properties": {
+        "ue_properties": {
+          "version": "7.4.1",
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "# 📐 Resolution Guide\n\n## ⭐ Recommended\n**832×1216** — Portrait\n**1216×832** — Landscape\n**1024×1024** — Square\n\n## 🎬 High Quality\n**1024×1536** — Tall\n**1920×1088** — Cinematic\n\n---\n\n💡 **Anime Tips:**\n- Portrait: 832×1216\n- Landscape: 1216×832\n- Full body: 768×1344\n\nWorks on **8GB VRAM**!"
+      ],
+      "color": "#2d2d4d",
+      "bgcolor": "#3d3d70"
+    },
+    {
+      "id": 32,
+      "type": "MarkdownNote",
+      "pos": [
+        19690,
+        7860
+      ],
+      "size": [
+        330,
+        490
+      ],
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "🎲 Seed Variance Guide",
+      "properties": {
+        "ue_properties": {
+          "version": "7.4.1",
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "# 🎲 Seed Variance Enhancer\n\nAdds diversity with same prompt!\n\n---\n\n## ⚙️ Settings\n\n**randomize_percent: 50**\n- Lower (20-40): Subtle\n- Medium (50-60): Balanced ⭐\n- Higher (70-90): Strong\n\n**strength: 20-30**\n- Noise amount\n\n**noise_insert:**\n- `beginning steps` ⭐\n- `all steps`\n- `ending steps`\n\n---\n\n## 💡 Best for Anime\n\n```\nrandomize: 50\nstrength: 20\nmode: beginning steps\nswitchover: 20%\n```\n\n**Tip:** Detailed prompts work better!\n\n---\n\n[GitHub](https://github.com/ChangeTheConstants/SeedVarianceEnhancer)"
+      ],
+      "color": "#2d2d4d",
+      "bgcolor": "#3d3d70"
+    },
+    {
+      "id": 66,
+      "type": "MarkdownNote",
+      "pos": [
+        20360,
+        7860
+      ],
+      "size": [
+        420,
+        410
+      ],
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "🎬 SeedVR2 Guide",
+      "properties": {
+        "ue_properties": {
+          "version": "7.4.1",
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "# 🎬 SeedVR2 Upscaler\n\n**Fast AI upscaling!**\n\n---\n\n## ⚙️ Quick Settings\n\n**resolution:** 1536 (target)\n**batch_size:** 1 for images\n**color_correction:** lab ⭐\n\n---\n\n## 📦 Models\n\nAuto-download to:\n`ComfyUI/models/SEEDVR2/`\n\n**DiT:** 3B (faster) or 7B (quality)\n**VAE:** ema_vae_fp16.safetensors\n\n---\n\n## 💡 Tips\n\n- Good for quick upscale\n- Use standard upscale for more detail\n- Offload to CPU if OOM\n\n---\n\n[GitHub](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler)"
+      ],
+      "color": "#2d2d4d",
+      "bgcolor": "#3d3d70"
+    },
+    {
+      "id": 43,
+      "type": "Fast Groups Bypasser (rgthree)",
+      "pos": [
+        18570,
+        7260
+      ],
+      "size": [
+        520,
+        58
+      ],
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "OPT_CONNECTION",
+          "type": "*",
+          "links": null
+        }
+      ],
+      "title": "📖 Toggle LoRA  ON/OFF",
+      "properties": {
+        "matchColors": "",
+        "matchTitle": "📖",
+        "showNav": true,
+        "showAllGraphs": true,
+        "sort": "position",
+        "customSortAlphabet": "",
+        "toggleRestriction": "default",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {},
+          "version": "7.4.1"
+        }
+      },
+      "color": "#4d1a4d",
+      "bgcolor": "#702a70"
+    },
+    {
+      "id": 53,
+      "type": "SeedVarianceEnhancer",
+      "pos": [
+        19400,
+        7920
+      ],
+      "size": [
+        251.50390625,
+        250
+      ],
+      "flags": {},
+      "order": 19,
+      "mode": 4,
+      "inputs": [
+        {
+          "name": "conditioning",
+          "type": "CONDITIONING",
+          "link": 106
+        },
+        {
+          "name": "seed",
+          "type": "INT",
+          "widget": {
+            "name": "seed"
+          },
+          "link": 68
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [
+            114
+          ]
+        }
+      ],
+      "title": "🎲 Seed Variance",
+      "properties": {
+        "cnr_id": "seedvarianceenhancer",
+        "ver": "2.1.0",
+        "Node name for S&R": "SeedVarianceEnhancer"
+      },
+      "widgets_values": [
+        30,
+        20,
+        "noise on beginning steps",
+        20,
+        0,
+        "fixed",
+        "beginning",
+        0,
+        false
+      ],
+      "color": "#4d1a4d",
+      "bgcolor": "#702a70"
+    },
+    {
+      "id": 23,
+      "type": "MarkdownNote",
+      "pos": [
+        17990,
+        7030
+      ],
+      "size": [
+        560,
+        850
+      ],
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "📖 Z-Image-Turbo-Anime Info",
+      "properties": {
+        "ue_properties": {
+          "version": "7.4.1",
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "# 🎨 Z-Image-Turbo-Anime\n\n**Custom Anime Checkpoint** — merged from custom LoRAs for enhanced anime aesthetics.\n\n---\n\n## ⚡ Quick Start\n\n1. Load checkpoint (FP8 or BF16)\n2. Write your prompt\n3. Set resolution\n4. Generate!\n\n---\n\n## ⚙️ Best Settings\n\n```yaml\nsteps: 8-9\ncfg: 1.0\nsampler: euler_ancestral ⭐\nscheduler: beta ⭐\nnegative: empty (use ZeroOut)\n```\n\n**Euler A + Beta** gives best anime results!\n\n---\n\n## 📦 Versions\n\n| Version | Size | Use Case |\n|---------|------|----------|\n| 🟡 FP8 | ~10GB | Fast, daily use |\n| 🟢 BF16 | ~20GB | Max quality |\n\nBoth work on **8GB VRAM**!\n\n---\n\n## 🎯 Features\n\n✅ Better anime style\n✅ Partially NSFW capable\n✅ Natural language prompts\n✅ 8-step generation\n✅ Custom LoRA merged\n\n---\n\n## ⚠️ Desktop ComfyUI Issue\n\nIf metadata save fails, replace **\"💾 Save Base Image\"** nodes with standard **\"Save Image\"** node.\n\n---\n\n## 📥 Links\n\n- [CivitAI](https://civitai.com/)\n- [HuggingFace](https://huggingface.co/SeeSee21/)\n\n---\n\n## 📦 Custom Nodes\n\n- rgthree-comfy\n- comfyui_image_metadata_extension\n- SeedVarianceEnhancer\n- ComfyUI-SeedVR2_VideoUpscaler"
+      ],
+      "color": "#2d2d4d",
+      "bgcolor": "#3d3d70"
+    },
+    {
+      "id": 2,
+      "type": "ModelSamplingAuraFlow",
+      "pos": [
+        19700,
+        7080
+      ],
+      "size": [
+        250,
+        58
+      ],
+      "flags": {},
+      "order": 14,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "model",
+          "type": "MODEL",
+          "link": 110
+        }
+      ],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            41,
+            121
+          ]
+        }
+      ],
+      "title": "⚙️ Model Sampling",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.48",
+        "Node name for S&R": "ModelSamplingAuraFlow",
+        "ue_properties": {
+          "version": "7.0.1",
+          "widget_ue_connectable": {}
+        },
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65
+      },
+      "widgets_values": [
+        3
+      ],
+      "color": "#2d1b4e",
+      "bgcolor": "#4a2d7a"
+    },
+    {
+      "id": 6,
+      "type": "EmptyLatentImage",
+      "pos": [
+        19400,
+        7690
+      ],
+      "size": [
+        240,
+        106
+      ],
+      "flags": {
+        "collapsed": false
+      },
+      "order": 8,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "links": [
+            24
+          ]
+        }
+      ],
+      "title": "📐 Image Size",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.65",
+        "Node name for S&R": "EmptyLatentImage",
+        "ue_properties": {
+          "widget_ue_connectable": {
+            "width": true,
+            "height": true,
+            "batch_size": true
+          },
+          "version": "7.0.1"
+        }
+      },
+      "widgets_values": [
+        832,
+        1216,
+        1
+      ],
+      "color": "#1a4d4d",
+      "bgcolor": "#2a7070"
+    },
+    {
+      "id": 28,
+      "type": "Fast Groups Bypasser (rgthree)",
+      "pos": [
+        20800,
+        6610
+      ],
+      "size": [
+        360,
+        82
+      ],
+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "OPT_CONNECTION",
+          "type": "*",
+          "links": null
+        }
+      ],
+      "title": "🔼 Toggle Upscaler ON/OFF",
+      "properties": {
+        "matchColors": "",
+        "matchTitle": "🔼",
+        "showNav": true,
+        "showAllGraphs": true,
+        "sort": "position",
+        "customSortAlphabet": "",
+        "toggleRestriction": "default",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {},
+          "version": "7.4.1"
+        }
+      },
+      "color": "#4d1a4d",
+      "bgcolor": "#702a70"
+    },
+    {
+      "id": 68,
+      "type": "Fast Groups Bypasser (rgthree)",
+      "pos": [
+        19030,
+        8000
+      ],
+      "size": [
+        330,
+        58
+      ],
+      "flags": {},
+      "order": 10,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "OPT_CONNECTION",
+          "type": "*",
+          "links": null
+        }
+      ],
+      "title": "🎲 Toggle SeedVarianceEnhancer ON/OFF",
+      "properties": {
+        "matchColors": "",
+        "matchTitle": "🎲",
+        "showNav": true,
+        "showAllGraphs": true,
+        "sort": "position",
+        "customSortAlphabet": "",
+        "toggleRestriction": "default",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {},
+          "version": "7.4.1"
+        }
+      },
+      "color": "#4d1a4d",
+      "bgcolor": "#702a70"
+    },
+    {
+      "id": 61,
+      "type": "SaveImageWithMetaData",
+      "pos": [
+        21190,
+        7920
+      ],
+      "size": [
+        540,
+        1010
+      ],
+      "flags": {},
+      "order": 35,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 89
+        },
+        {
+          "name": "extra_metadata",
+          "shape": 7,
+          "type": "EXTRA_METADATA",
+          "link": null
+        }
+      ],
+      "outputs": [],
+      "title": "💾 Save Upscaled Image",
+      "properties": {
+        "cnr_id": "comfyui_image_metadata_extension",
+        "ver": "1.2.17",
+        "Node name for S&R": "SaveImageWithMetaData",
+        "widget_ue_connectable": {}
+      },
+      "widgets_values": [
+        "Z-Image-SeedVR2",
+        "%date:yyyy-MM-dd%",
+        "png",
+        "max",
+        "full",
+        true,
+        true
+      ],
+      "color": "#1a2d4d",
+      "bgcolor": "#2a4570"
+    },
+    {
+      "id": 49,
+      "type": "SaveImageWithMetaData",
+      "pos": [
+        21190,
+        6800
+      ],
+      "size": [
+        540,
+        990
+      ],
+      "flags": {},
+      "order": 40,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 64
+        },
+        {
+          "name": "extra_metadata",
+          "shape": 7,
+          "type": "EXTRA_METADATA",
+          "link": null
+        }
+      ],
+      "outputs": [],
+      "title": "💾 Save Upscaled Image",
+      "properties": {
+        "cnr_id": "comfyui_image_metadata_extension",
+        "ver": "1.2.17",
+        "Node name for S&R": "SaveImageWithMetaData",
+        "widget_ue_connectable": {}
+      },
+      "widgets_values": [
+        "Z-Image-Upscale ",
+        "%date:yyyy-MM-dd%",
+        "png",
+        "max",
+        "full",
+        true,
+        true
+      ],
+      "color": "#1a2d4d",
+      "bgcolor": "#2a4570"
+    },
+    {
+      "id": 48,
+      "type": "SaveImageWithMetaData",
+      "pos": [
+        20310,
+        7030
+      ],
+      "size": [
+        470,
+        780
+      ],
+      "flags": {},
+      "order": 29,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 63
+        },
+        {
+          "name": "extra_metadata",
+          "shape": 7,
+          "type": "EXTRA_METADATA",
+          "link": null
+        }
+      ],
+      "outputs": [],
+      "title": "💾 Save Base Image",
+      "properties": {
+        "cnr_id": "comfyui_image_metadata_extension",
+        "ver": "1.2.17",
+        "Node name for S&R": "SaveImageWithMetaData",
+        "widget_ue_connectable": {}
+      },
+      "widgets_values": [
+        "Z-Image-Base",
+        "%date:yyyy-MM-dd%",
+        "png",
+        "max",
+        "full",
+        true,
+        true
+      ],
+      "color": "#1a2d4d",
+      "bgcolor": "#2a4570"
+    },
+    {
+      "id": 20,
+      "type": "CLIPTextEncode",
+      "pos": [
+        19130,
+        7080
+      ],
+      "size": [
+        510,
+        490
+      ],
+      "flags": {
+        "collapsed": false
+      },
+      "order": 15,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 111
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [
+            46,
+            106
+          ]
+        }
+      ],
+      "title": "✨ Positive Prompt",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.65",
+        "Node name for S&R": "CLIPTextEncode",
+        "ue_properties": {
+          "widget_ue_connectable": {
+            "text": true
+          },
+          "version": "7.0.1"
+        }
+      },
+      "widgets_values": [
+        "Create a high-quality anime-style illustration of an intelligent, calm black anime cat, shown full-body, designed as a clean and professional AI workflow cover. The cat has smooth, well-groomed fur with subtle soft highlights and clear, glowing cyan-blue eyes that convey focus, clarity, and intelligence. Its posture is composed and confident, sitting upright with a relaxed but purposeful presence.\n\nThe cat is positioned centrally on a sleek, floating platform made of translucent, glass-like material, etched with softly glowing geometric lines and node-based patterns resembling a structured AI workflow diagram. Behind the cat, the background forms a stylized tech-fantasy environment: layered floating interface panels, softly illuminated connection lines, modular blocks, and faint schematic symbols representing organized AI pipelines and creative processes. The scene feels clean, structured, and modern.\n\nThe color palette is balanced and professional, dominated by cool blues, soft teals, subtle purples, and deep neutral tones. Soft ambient lighting illuminates the cat from the front, while gentle rim lighting separates it clearly from the background. Subtle reflections appear on the platform surface, adding depth without clutter.\n\nThe overall atmosphere is calm, intelligent, and trustworthy, combining anime aesthetics with technical clarity. The illustration style is refined and polished, featuring smooth painterly shading, high-detail fur texture, clean silhouettes, and a cinematic yet minimal finish suitable for AI model branding.\n\nRender literal centered title text in the upper third of the image:\n“Z-IMAGE-TURBO-ANIME”\nFont style: elegant decorative serif or clean modern font, large uppercase, white or light cyan color, subtle glow, high contrast, perfectly readable.\n\nRender literal centered subtitle directly below the title:\n“WORKFLOW”\nFont style: matching but smaller, soft cyan or silver tone, minimal glow.\n\nBoth texts must be perfectly aligned, not overlapping the cat, and clearly separated from the main subject.\n"
+      ],
+      "color": "#1e3a2f",
+      "bgcolor": "#2d5a47"
+    },
+    {
+      "id": 34,
+      "type": "CheckpointLoaderSimple",
+      "pos": [
+        18590,
+        7080
+      ],
+      "size": [
+        480,
+        98
+      ],
+      "flags": {},
+      "order": 11,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            108
+          ]
+        },
+        {
+          "name": "CLIP",
+          "type": "CLIP",
+          "links": [
+            141
+          ]
+        },
+        {
+          "name": "VAE",
+          "type": "VAE",
+          "links": [
+            76
+          ]
+        }
+      ],
+      "title": "📦 Load Anime Checkpoint",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.71",
+        "Node name for S&R": "CheckpointLoaderSimple",
+        "ue_properties": {
+          "widget_ue_connectable": {
+            "ckpt_name": true
+          },
+          "version": "7.4.1",
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "z-image-anime-aio-fp8.safetensors"
+      ],
+      "color": "#2d1b4e",
+      "bgcolor": "#4a2d7a"
+    },
+    {
+      "id": 17,
+      "type": "KSampler",
+      "pos": [
+        19970,
+        7080
+      ],
+      "size": [
+        300,
+        710
+      ],
+      "flags": {},
+      "order": 26,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "model",
+          "type": "MODEL",
+          "link": 41
+        },
+        {
+          "name": "positive",
+          "type": "CONDITIONING",
+          "link": 115
+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
+          "link": 88
+        },
+        {
+          "name": "latent_image",
+          "type": "LATENT",
+          "link": 24
+        },
+        {
+          "name": "seed",
+          "type": "INT",
+          "widget": {
+            "name": "seed"
+          },
+          "link": 69
+        }
+      ],
+      "outputs": [
+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "slot_index": 0,
+          "links": [
+            8
+          ]
+        }
+      ],
+      "title": "🎨 Generate Image",
+      "properties": {
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workflows/ZIT-AIO-Control.json

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+        "# 🚀 Z-Image-Turbo-AIO + ControlNet\n\n## Ultra-Fast Photorealistic with ControlNet!\n\n✨ **8-Step Lightning Speed**\n✨ **VAE + Text Encoder integrated**\n✨ **Bilingual text rendering (EN/CN)**\n✨ **ControlNet Union support**\n✨ **No negative prompts needed**\n✨ **Metadata saved automatically**\n\n---\n\n## 🔄 Two Versions Available:\n\n### 🟢 Z-Image-BF16-AIO (20 GB)\n**Maximum Precision**\n- Precision: BFloat16\n- Steps: 9 (recommended)\n- CFG: 1.0 (keep at 1.0!)\n- Sampler: res_multistep or euler_ancestral\n- Scheduler: simple or beta\n- VRAM: Works on 8GB!\n\n### 🟡 Z-Image-FP8-AIO (10 GB)\n**Speed & Efficiency**\n- Precision: FP8\n- Steps: 9 (recommended)\n- CFG: 1.0 (keep at 1.0!)\n- Sampler: res_multistep or euler_ancestral\n- Scheduler: simple or beta\n- VRAM: Perfect for 8GB!\n\n---\n\n## 🎮 ControlNet Union Required:\n\n**Download ControlNet file:**\n[Z-Image-Turbo-Fun-Controlnet-Union.safetensors](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union/resolve/main/Z-Image-Turbo-Fun-Controlnet-Union.safetensors?download=true)\n\n**Save in:**\n```\nComfyUI/models/model_patches/\n└── Z-Image-Turbo-Fun-Controlnet-Union.safetensors\n```\n\n**⚠️ Important:** Use `model_patches/` folder (for ModelPatchLoader)\n\n**Supports:** Canny, HED, Depth, Pose, MLSD\n\n---\n\n## ⚙️ Critical Settings\n\n### Both Versions:\n- **Steps:** 9\n- **CFG:** 1.0 (don't change!)\n- **Sampler:** res_multistep or euler_ancestral\n- **Scheduler:** simple or beta\n- **Scale by Megapixels** (not resolution!)\n- **NO negative prompts**\n\n💡 **Natural language prompts work best!**\n\n---\n\n## 📥 Download Links\n\n**Main Models:**\n[CivitAI (Models + Workflows)](https://civitai.com/models/2173571?modelVersionId=2448013)\n[HuggingFace (Models)](https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO)\n\n**ControlNet Union:**\n[HuggingFace](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union)\n\n**Try Online (FP8):**\n[TensorArt](https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8)\n\n---\n\n## 🎯 Required Custom Nodes\n\n**Essential:**\n- [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)\n- [comfyui_image_metadata_extension](https://github.com/edelvarden/comfyui_image_metadata_extension)\n- [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)\n\n**⚠️ ComfyUI Version 3.77+ required!**\n(ModelPatchLoader needs newer version)\n\n---\n\n## 📂 Installation\n\n```\n📂 ComfyUI/models/\n├── 📂 checkpoints/\n│   └── Z-Image-Turbo-FP8-AIO.safetensors\n└── 📂 model_patches/\n    └── Z-Image-Turbo-Fun-Controlnet-Union.safetensors\n```\n\n**No separate VAE/encoder needed!**"
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+        "# 📖 ControlNet Workflow Guide\n\n## Quick Start:\n\n1. Load models\n2. Upload input image\n3. Choose preprocessor (Canny, Depth, Pose, etc.)\n4. Write detailed prompt\n5. Set megapixels (1.0-2.08 MP)\n6. Generate!\n\n---\n\n## Samplers:\n\n**res_multistep** - Sharp, detailed\n**euler_ancestral** - Natural, smooth skin\n\n## Schedulers:\n\n**simple** - Clean\n**beta** - Smoother\n\n---\n\n## ControlNet Strength:\n\n0.3-0.5 - Subtle\n0.6-0.8 - Balanced ⭐\n0.9-1.0 - Strong\n\n---\n\n## Prompting:\n\n✅ Natural language (100-300 words)\n✅ Detailed descriptions\n✅ Include lighting & mood\n✅ EN or CN text: \"COFFEE\" or \"咖啡\"\n❌ NO negative prompts\n\n---\n\n[CivitAI](https://civitai.com/models/2173571?modelVersionId=2448013) • [HuggingFace](https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO) • [Try Online](https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8)"
+      ],
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+      "type": "MarkdownNote",
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+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "🔧 AIO Aux Preprocessor Guide",
+      "properties": {
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+        "# 🔧 AIO Aux Preprocessor\n\nChoose your control type - defaults work well!\n\n---\n\n## Available Types:\n\n**CannyEdge** - Line art, sketches\n**HED** - Soft edges\n**DepthAnything** - 3D structure\n**DWPreprocessor** - Pose detection\n**MLSD** - Architecture, lines\n\n---\n\n## Quick Tips:\n\n✅ Use default settings first\n✅ Preview shows automatically\n✅ Adjust if needed\n\n**Best for beginners:** Start with Canny or Depth\n\n---\n\n**Custom Node:**\n[comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)"
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+      "color": "#332922",
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+      "flags": {},
+      "order": 8,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "📏 Megapixel Scaling Guide",
+      "properties": {
+        "ue_properties": {
+          "version": "7.4.1",
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        }
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+        "# 📏 Megapixel Guide\n\nSet total megapixels - aspect ratio maintained automatically!\n\n---\n\n## Common Sizes:\n\n**Fast:**\n0.25 MP ≈ 512×512\n0.59 MP ≈ 768×768\n\n**Standard:**\n1.0 MP ≈ 1024×1024 ⭐\n1.01 MP ≈ 832×1216\n\n**High Quality:**\n1.57 MP ≈ 1024×1536\n2.08 MP ≈ 1920×1088 ⭐ (tested!)\n2.36 MP ≈ 2048×1152\n\n**Ultra HD:**\n3.0 MP ≈ 2048×1536\n4.0 MP ≈ 2048×2048\n\n---\n\n## Quick Tips:\n\n🎯 Start with: 1.0 or 2.08 MP\n📐 Works with any input aspect ratio\n⚡ Both FP8 & BF16 work great!"
+      ],
+      "color": "#323",
+      "bgcolor": "#535"
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+      "id": 62,
+      "type": "MarkdownNote",
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+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "🎮 ControlNet Union Guide",
+      "properties": {
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+        "# 🎮 ControlNet Union Guide\n\n## What is ControlNet Union?\n\nThe **Z-Image-Turbo-Fun-Controlnet-Union** is a special ControlNet model designed specifically for Z-Image-Turbo. It combines multiple control types into one unified model!\n\n---\n\n## 🎯 Supported Control Types:\n\n### Canny Edge Detection\n**Best for:** Line art, sketches, precise edges\n**Use when:** You want exact edge control\n**Example:** Convert sketch to photo\n\n### HED (Holistically-Nested Edge)\n**Best for:** Soft edges, organic shapes\n**Use when:** More natural edge detection\n**Example:** Artistic edge guidance\n\n### Depth Map\n**Best for:** 3D structure, spatial layout\n**Use when:** Preserving scene depth\n**Example:** Maintain object positions\n\n### Pose Detection\n**Best for:** Human figures, body positions\n**Use when:** Controlling character poses\n**Example:** Transfer pose to new character\n\n### MLSD (Line Segment Detection)\n**Best for:** Architecture, straight lines\n**Use when:** Buildings, geometric shapes\n**Example:** Architectural visualization\n\n---\n\n## 📥 Download & Installation:\n\n**Download:**\n[Z-Image-Turbo-Fun-Controlnet-Union.safetensors](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union/resolve/main/Z-Image-Turbo-Fun-Controlnet-Union.safetensors?download=true)\n\n**Save to:**\n```\nComfyUI/models/model_patches/\n└── Z-Image-Turbo-Fun-Controlnet-Union.safetensors\n```\n\n**⚠️ IMPORTANT:** Must be in `model_patches/` folder!\n(ModelPatchLoader uses this location, not controlnet/)\n\n**Size:** ~2.5GB\n\n\n---\n\n## 🎚️ Strength Settings:\n\n**strength: 0.3-0.5**\nSubtle guidance, more creative freedom\n\n**strength: 0.6-0.8** ⭐\nBalanced control, recommended starting point\n\n**strength: 0.9-1.0**\nStrong control, follows input closely\n\n---\n\n## 💡 Tips for Best Results:\n\n### Canny:\n- Use clear, high-contrast input images\n- Works great for line art conversion\n- Adjust threshold in preprocessor\n\n### Depth:\n- Maintains 3D structure perfectly\n- Great for scene composition\n- Helps with spatial relationships\n\n### Pose:\n- Upload image with clear human pose\n- Can transfer pose to different character\n- Works for multiple people\n\n### MLSD:\n- Perfect for architectural photos\n- Preserves geometric structure\n- Great for interior/exterior design\n\n---\n\n## ⚠️ Important Notes:\n\n- **ComfyUI 3.77+ required!** (ModelPatchLoader compatibility)\n- **Save in model_patches/ not controlnet/!**\n- Works with both FP8 and BF16 versions\n- Can combine with text prompts for best results\n- Keep main model settings: CFG 1.0, 9 steps\n\n---\n\n## 🌐 More Info:\n\n[Official HuggingFace Page](https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union)\n\nExperiment with different control types to find what works best for your use case!"
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+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
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+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            49
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+        },
+        {
+          "name": "CLIP",
+          "type": "CLIP",
+          "links": [
+            50
+          ]
+        },
+        {
+          "name": "VAE",
+          "type": "VAE",
+          "links": [
+            39
+          ]
+        }
+      ],
+      "title": "📦 Load Z-Image-Turbo Model",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.71",
+        "Node name for S&R": "CheckpointLoaderSimple",
+        "ue_properties": {
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+            "ckpt_name": true
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+          "version": "7.4.1",
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+        "z-image-turbo-fp8-aio.safetensors"
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+      "color": "#223",
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+      "id": 17,
+      "type": "KSampler",
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+      "order": 30,
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+      "inputs": [
+        {
+          "name": "model",
+          "type": "MODEL",
+          "link": 41
+        },
+        {
+          "name": "positive",
+          "type": "CONDITIONING",
+          "link": 22
+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
+          "link": 47
+        },
+        {
+          "name": "latent_image",
+          "type": "LATENT",
+          "link": 77
+        }
+      ],
+      "outputs": [
+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "slot_index": 0,
+          "links": [
+            8
+          ]
+        }
+      ],
+      "title": "🎨 Main Generation",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.48",
+        "Node name for S&R": "KSampler",
+        "ue_properties": {
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+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
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+        "secondTabWidth": 65
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+        "randomize",
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+        1,
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+        1
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+      "color": "#2a363b",
+      "bgcolor": "#3f5159"
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+      "type": "DownloadAndLoadDepthAnythingV3Model",
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+      "size": [
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+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "da3_model",
+          "type": "DA3MODEL",
+          "links": [
+            87
+          ]
+        }
+      ],
+      "title": "📦 Load DA3 Model",
+      "properties": {
+        "cnr_id": "comfyui-depthanythingv3",
+        "ver": "0.0.11",
+        "Node name for S&R": "DownloadAndLoadDepthAnythingV3Model"
+      },
+      "widgets_values": [
+        "da3_large.safetensors",
+        "auto"
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+      "color": "#223",
+      "bgcolor": "#335"
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+    {
+      "id": 62,
+      "type": "MarkdownNote",
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+      "size": [
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+        410
+      ],
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "🎮 Depth ControlNet Guide",
+      "properties": {
+        "ue_properties": {
+          "version": "7.4.1",
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+        "# 🎮 Depth ControlNet with DA3\n\n**Precise depth-guided generation!**\n\nUses Depth Anything V3 for state-of-the-art depth estimation,\nthen applies ControlNet for guided image generation.\n\n---\n\n## 🌊 Why Depth Anything V3?\n\n**Superior to traditional depth:**\n- Multi-view consistency\n- More accurate geometry\n- Better edge preservation\n- Works with any input view\n\nvs older methods (Canny, HED, Pose, MLSD)\n\n---\n\n## 📦 Required Files:\n\n**Depth Model:**\n- da3_large.safetensors (recommended)\n- Auto-downloads to `models/DepthAnything3/`\n\n**ControlNet Patch:**\n- Z-Image ControlNet compatible\n- Uses depth maps for guidance\n\n---\n\n## 🎯 How It Works:\n\n1. **Input Image** → Upload your reference\n2. **DA3 Processing** → Extracts depth map\n3. **ControlNet Apply** → Guides generation\n4. **Result** → Depth-aware image\n\n---\n\n## 🎚️ ControlNet Strength:\n\n- **0.3-0.5:** Subtle depth guidance\n- **0.6-0.8:** Balanced (recommended) ⭐\n- **0.9-1.0:** Strong depth control\n\nHigher = follows depth more closely\n\n---\n\n## 💡 Tips:\n\n**For best results:**\n- Use 'Standard' normalization mode\n- da3_large gives best quality\n- Strength 0.7 works for most cases\n- Describe desired style in prompt\n\n**Depth preserves:**\n- Scene composition\n- Object positions\n- Spatial relationships\n- Overall geometry\n\n---\n\n⚠️ **Remember:** Toggle Generate Image ON, 3D Preview OFF!"
+      ],
+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 23,
+      "type": "MarkdownNote",
+      "pos": [
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+        7030
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+      "size": [
+        560,
+        620
+      ],
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "📦 Model Info - Z-Image-Turbo-AIO + ControlNet",
+      "properties": {
+        "ue_properties": {
+          "version": "7.4.1",
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "# 🚀 Z-Image-Turbo-AIO + Depth ControlNet\n\n**Ultra-Fast Generation with Advanced Depth Control!**\n\n---\n\n## 🔄 Two Versions:\n\n**🟢 BF16-AIO (20 GB)** - Maximum precision  \n**🟡 FP8-AIO (10 GB)** - Speed & efficiency  \n\nBoth work on 8GB VRAM!\n\n---\n\n## ⚙️ Settings:\n\n- Steps: **9**\n- CFG: **1.0** (don't change!)\n- Sampler: res_multistep or euler_ancestral\n- Scheduler: simple or beta\n- NO negative prompts\n\n---\n\n## 🌊 New in This Workflow:\n\n**Depth Anything V3!**\nState-of-the-art depth estimation.\nSuperior to older methods (Canny, HED, etc).\n\n**3D Preview Mode!**\nView depth as interactive 3D point cloud.\n\nSee guide nodes for details.\n\n---\n\n## 📥 Downloads:\n\n[CivitAI](https://civitai.com/models/2173571?modelVersionId=2448013) • [HuggingFace](https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO) • [Try Online](https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8)\n\n---\n\n## 🎯 Required Custom Nodes:\n\n[rgthree-comfy](https://github.com/rgthree/rgthree-comfy)  \n[comfyui_image_metadata_extension](https://github.com/edelvarden/comfyui_image_metadata_extension)  \n[Depth Anything 3](https://github.com/ByteDance-Seed/Depth-Anything-3) ⭐ NEW!\n\n---\n\n💡 **Natural language prompts work best!**"
+      ],
+      "color": "#223",
+      "bgcolor": "#335"
+    },
+    {
+      "id": 64,
+      "type": "MarkdownNote",
+      "pos": [
+        17330,
+        7700
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+      "size": [
+        560,
+        410
+      ],
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "📖 Z-Image-Turbo Workflow - Depth Edition",
+      "properties": {
+        "ue_properties": {
+          "version": "7.4.1",
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "# 📖 Depth ControlNet Workflow\n\n## ⚙️ Settings:\n\n**Steps:** 9  \n**CFG:** 1.0  \n**Sampler:** res_multistep (sharp) or euler_ancestral (natural)  \n**Scheduler:** simple (clean) or beta (smooth)  \n\n---\n\n## 🌊 Depth Control:\n\n**Depth Anything V3** provides depth maps.\n\n**Two modes available:**\n1. **Generate Mode** - Create depth-guided images\n2. **3D Preview Mode** - Visualize as point cloud\n\nUse toggles to switch modes!\n\n**ControlNet Strength:**\n- **0.6-0.8** - Balanced ⭐\n- Lower for subtle, higher for strong control\n\n---\n\n## 💡 Prompting:\n\n**Natural language works best!**\n\nWrite detailed descriptions (100-300 words):\n- Include lighting, mood, style\n- English or Chinese\n- NO negative prompts needed\n\n**Text rendering:**\nPut text in quotes: \"COFFEE SHOP\" or \"咖啡店\"\n\n---\n\n## 📏 Megapixels:\n\nSee Megapixel Guide for examples.\nMaintains aspect ratio automatically!\n\n---\n\n**Resources:**  \n[Try Online](https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8) • [Download](https://civitai.com/models/2173571?modelVersionId=2448013)"
+      ],
+      "color": "#223",
+      "bgcolor": "#335"
+    },
+    {
+      "id": 83,
+      "type": "MarkdownNote",
+      "pos": [
+        18440,
+        7930
+      ],
+      "size": [
+        280,
+        290
+      ],
+      "flags": {},
+      "order": 8,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "⚠️ Depth Anything V3 ⚠️",
+      "properties": {
+        "ue_properties": {
+          "version": "7.4.1",
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "## 🎮 Two Usage Modes:\n\n### 1. 🧑‍💻 3D Preview Mode:\n\n```\nnormalization_mode: Raw\nToggle 3D Preview: ON\nToggle Generate: OFF\n```\n\nVisualize depth as 3D point cloud!\n\n### 2. 🎨 Generate Image Mode:\n\n```\nnormalization_mode: Standard or V2-Style\nToggle 3D Preview: OFF\nToggle Generate: ON\n```\n\nUse depth for ControlNet generation!\n\n⚠️ **Don't mix modes!** Will cause errors."
+      ],
+      "color": "#322",
+      "bgcolor": "#533"
+    },
+    {
+      "id": 66,
+      "type": "MarkdownNote",
+      "pos": [
+        18060,
+        7870
+      ],
+      "size": [
+        360,
+        310
+      ],
+      "flags": {},
+      "order": 9,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "📏 Megapixel Scaling Guide",
+      "properties": {
+        "ue_properties": {
+          "version": "7.4.1",
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "# 📏 Megapixel Guide\n\nSet total megapixels - aspect ratio maintained automatically!\n\n---\n\n## Common Sizes:\n\n**Fast:**\n0.25 MP ≈ 512×512\n0.59 MP ≈ 768×768\n\n**Standard:**\n1.0 MP ≈ 1024×1024 ⭐\n1.01 MP ≈ 832×1216\n\n**High Quality:**\n1.57 MP ≈ 1024×1536\n2.08 MP ≈ 1920×1088 ⭐ (tested!)\n2.36 MP ≈ 2048×1152\n\n**Ultra HD:**\n3.0 MP ≈ 2048×1536\n4.0 MP ≈ 2048×2048\n\n---\n\n## Quick Tips:\n\n🎯 Start with: 1.0 or 2.08 MP\n📐 Works with any input aspect ratio\n⚡ Both FP8 & BF16 work great!"
+      ],
+      "color": "#323",
+      "bgcolor": "#535"
+    },
+    {
+      "id": 77,
+      "type": "DA3_ToPointCloud",
+      "pos": [
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+        8040
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+      "size": [
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+      "flags": {},
+      "order": 22,
+      "mode": 4,
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+          "type": "IMAGE",
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+        {
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+          "type": "IMAGE",
+          "link": 117
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+          "shape": 7,
+          "type": "STRING",
+          "link": 118
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+        {
+          "name": "sky_mask",
+          "shape": 7,
+          "type": "MASK",
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+        },
+        {
+          "name": "source_image",
+          "shape": 7,
+          "type": "IMAGE",
+          "link": 120
+        }
+      ],
+      "outputs": [
+        {
+          "name": "pointcloud",
+          "type": "POINTCLOUD",
+          "links": [
+            121
+          ]
+        }
+      ],
+      "title": "🔄 DA3 to Point Cloud",
+      "properties": {
+        "cnr_id": "comfyui-depthanythingv3",
+        "ver": "0.0.11",
+        "Node name for S&R": "DA3_ToPointCloud"
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+      "type": "Fast Groups Bypasser (rgthree)",
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+      "outputs": [
+        {
+          "name": "OPT_CONNECTION",
+          "type": "*",
+          "links": null
+        }
+      ],
+      "title": "🔍 Toggle Upscaler ON/OFF",
+      "properties": {
+        "matchColors": "",
+        "matchTitle": "🔍",
+        "showNav": true,
+        "showAllGraphs": true,
+        "sort": "position",
+        "customSortAlphabet": "",
+        "toggleRestriction": "default",
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+      "color": "#432",
+      "bgcolor": "#653"
+    },
+    {
+      "id": 53,
+      "type": "QwenImageDiffsynthControlnet",
+      "pos": [
+        19150,
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+      "size": [
+        210,
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+      "flags": {},
+      "order": 25,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "model",
+          "type": "MODEL",
+          "link": 79
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+        {
+          "name": "model_patch",
+          "type": "MODEL_PATCH",
+          "link": 65
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+        {
+          "name": "vae",
+          "type": "VAE",
+          "link": 75
+        },
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 127
+        },
+        {
+          "name": "mask",
+          "shape": 7,
+          "type": "MASK",
+          "link": null
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+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            83
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+        }
+      ],
+      "title": "🎮 ControlNet Apply",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.3.76",
+        "Node name for S&R": "QwenImageDiffsynthControlnet",
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+      "flags": {
+        "collapsed": false
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+      "order": 18,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 51
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [
+            15,
+            22,
+            46
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+      ],
+      "title": "✍️ Positive Prompt",
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+        "ver": "0.3.65",
+        "Node name for S&R": "CLIPTextEncode",
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+        "A highly detailed, photorealistic scene featuring an orange tabby cat sitting upright like a human. The cat has soft, well-groomed fur with visible individual hairs, warm orange and cream stripes, and a calm, confident facial expression. It is wearing modern black sunglasses with slightly reflective lenses, giving it a cool, relaxed and intelligent vibe. One paw is raised in front of its chest, clearly forming a thumbs-up gesture, with realistic paw anatomy and subtle fur texture.\n\nThe cat is positioned in the center of the frame, shot at eye level, creating a strong connection between the viewer and the subject. The lighting is soft but cinematic, highlighting the contours of the cat’s face, whiskers, nose, and sunglasses, with gentle shadows adding depth and realism.\n\nThe word 'Z-IMAGE-TURBO-AIO-WORKFLOW-DEPTHv3 ' is prominently displayed as a large, bold title in bright cyan letters with a subtle glow effect, positioned at the top center of the image like a magazine cover. \n\nThe background is a futuristic computer room or server control center. Behind the cat are rows of sleek server racks with softly glowing LED lights in blue, cyan, and subtle white tones. Large monitors and transparent glass panels display abstract system interfaces, code snippets, data streams, and holographic UI elements. The environment feels clean, high-tech, and professional, with a slightly blurred background (shallow depth of field) so the cat remains the clear focal point.\n\nThe overall atmosphere combines humor and professionalism — a playful yet high-quality image that feels like a tech mascot or AI system administrator. Ultra-high resolution, sharp focus on the subject, realistic textures, natural colors, cinematic lighting, professional photography style, photorealistic, 8K quality.\n"
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+      "color": "#232",
+      "bgcolor": "#353"
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+      "id": 75,
+      "type": "Fast Groups Bypasser (rgthree)",
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+      "title": "🧑‍💻 Toggle 3D Preview ON/OFF",
+      "properties": {
+        "matchColors": "",
+        "matchTitle": "🧑‍💻",
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+        "sort": "position",
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+        {
+          "name": "images",
+          "type": "IMAGE",
+          "link": 88
+        }
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+          "name": "ray_origin",
+          "type": "IMAGE",
+          "links": []
+        },
+        {
+          "name": "ray_direction",
+          "type": "IMAGE",
+          "links": []
+        },
+        {
+          "name": "extrinsics",
+          "type": "STRING",
+          "links": null
+        },
+        {
+          "name": "intrinsics",
+          "type": "STRING",
+          "links": [
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+          "name": "sky_mask",
+          "type": "MASK",
+          "links": [
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+          "name": "resized_rgb_image",
+          "type": "IMAGE",
+          "links": [
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+            128
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+        }
+      ],
+      "title": "🌊 DA3 Depth Estimation",
+      "properties": {
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+      "outputs": [
+        {
+          "name": "OPT_CONNECTION",
+          "type": "*",
+          "links": null
+        }
+      ],
+      "title": "🎨 Toggle Generate Image ON/OFF",
+      "properties": {
+        "matchColors": "",
+        "matchTitle": "🎨",
+        "showNav": true,
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+        "# 🎬 SeedVR2 Video Upscaler\n\n**Professional video/image upscaling with diffusion!**\n\nHigh-quality upscaler using DiT (Diffusion Transformer) for temporal consistency.\n\n---\n\n## 📦 Required Models:\n\n**Auto-download to:** `ComfyUI/models/SEEDVR2/`\n\n### DiT Model (Node 52):\n- **3B models:** Faster, lower VRAM\n- **7B models:** Higher quality\n- **FP16:** Best quality\n- **FP8/GGUF:** Memory optimized\n\n### VAE Model (Node 53):\n- `ema_vae_fp16.safetensors` (recommended)\n\n---\n\n## ⚙️ Main Settings (Node 51):\n\n### resolution (1536)\nTarget resolution for shortest edge.\nMaintains aspect ratio automatically.\n\n### max_resolution (0)\nMaximum resolution for any edge.\n- **0:** No limit\n- **Set value:** Auto-scales down if exceeded\n\n### batch_size (Important!)\n⚠️ **Must follow 4n+1 formula:** 1, 5, 9, 13, 17, 21, 25...\n- **Minimum 5** for temporal consistency\n- **Higher = better quality** but more VRAM\n- Ideally matches shot length\n\n### uniform_batch_size (False)\nPads final batch to match batch_size.\nPrevents artifacts when last batch is smaller.\n\n### temporal_overlap (0)\nOverlapping frames between batches (0-16).\nReduces temporal artifacts.\n\n### prepend_frames (0)\nPrepends reversed frames (0-32).\nReduces artifacts at video start.\n\n---\n\n## 🎨 Quality Settings:\n\n### color_correction\n**'lab'** ⭐ - Perceptual, highest fidelity  \n**'wavelet'** - Frequency-based, natural  \n**'hsv'** - Saturation matching  \n**'none'** - No correction\n\n### Noise Scales (0.0-1.0):\n**input_noise_scale (0.0)**  \nAdds noise to input. Try 0.1-0.3 for high res artifacts.\n\n**latent_noise_scale (0.0)**  \nAdds noise during diffusion. Try 0.05-0.15 if needed.\n\n---\n\n## 💾 Memory Management:\n\n### offload_device\n**'none'** - Fastest, high VRAM  \n**'cpu'** - Slower, saves VRAM  \n**'cuda:X'** - Use another GPU\n\n### If OOM (Out of Memory):\n1. Enable VAE tiling (Nodes 52/53)\n2. Lower resolution or batch_size\n3. Use FP8/GGUF models\n4. Enable offload_device\n\n---\n\n## 📥 Installation:\n\n[SeedVR2](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler)\n\nInstall via ComfyUI Manager or:\n```\ncd ComfyUI/custom_nodes\ngit clone https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler.git\n```\n\n---\n\n**Tip:** Start with default settings, enable debug mode to monitor VRAM!"
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+        "# 📐 Resolution Presets\n\n## ⭐ Recommended (Tested)\n**1920×1088** - Wide cinematic\n\n## 🚀 Fast (Both Versions)\n512×512 • 512×768 • 768×768\n768×1024 • 1024×768\n\n## 📱 Standard HD\n832×1216 • 1024×1024 • 1216×832\n\n## 🎬 High Quality\n1024×1536 • 1536×1024\n\n## 🎥 2K Cinematic\n1920×1088 ⭐ • 2048×1152 • 1920×1080\n\n---\n\n💡 **Quick Tips:**\n- **Portrait:** 512×768, 832×1216, 1024×1536\n- **Landscape:** 1216��832, 1920×1088 ⭐, 2048×1152\n- **Square:** 1024×1024\n\n**1920×1088** tested on RTX 4060 8GB!\nWorks perfectly with both FP8 & BF16."
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+        "# 🚀 Z-Image-Turbo-AIO\n\n<div align=\"center\">\n\n**⚡ Ultra‑Fast Photorealistic Generation ⚡**\n*Optimized for speed, realism, and low‑VRAM setups*\n\n</div>\n\n---\n\n## ✨ At a glance\n\n> A compact, production‑ready workflow focused on **maximum realism**, **minimal steps**, and **smooth scaling** — ideal for both image and video pipelines.\n\n* 🧠 Diffusion‑optimized presets\n* 🎞️ Integrated **video upscaling** workflow\n* 💾 Runs on **8 GB VRAM**\n* 🗣️ Natural language prompts encouraged\n\n---\n\n## 🔄 Two Versions\n\n<table>\n<tr>\n<th align=\"left\">Variant</th>\n<th align=\"center\">Size</th>\n<th align=\"left\">Focus</th>\n</tr>\n<tr>\n<td>🟢 <strong>BF16‑AIO</strong></td>\n<td align=\"center\">20 GB</td>\n<td>Maximum precision, clean gradients, best for final renders</td>\n</tr>\n<tr>\n<td>🟡 <strong>FP8‑AIO</strong></td>\n<td align=\"center\">10 GB</td>\n<td>High speed & efficiency, ideal for fast iteration</td>\n</tr>\n</table>\n\n> ✅ **Both versions work on GPUs with only 8 GB VRAM** (with recommended settings).\n\n---\n\n## ⚙️ Recommended Settings\n\n```yaml\nsteps: 9\ncfg: 1.0      # ⚠️ do NOT change\nsampler: res_multistep | euler_ancestral\nscheduler: simple | beta\nnegative_prompt: none\n```\n\n### Why these values?\n\n* **Steps = 9** → sweet spot between speed and detail\n* **CFG = 1.0** → critical for correct model behavior\n* **Sampler choices** → stable diffusion with natural noise\n* **No negative prompts** → avoids over‑constraining the model\n\n---\n\n## 🎬 New in this Workflow\n\n### 🌟 SeedVR2 – Video Upscaler\n\n> **Professional diffusion‑based video upscaling** built directly into the workflow.\n\n**Key benefits:**\n\n* 🎥 Temporal consistency across frames\n* 🧩 Detail reconstruction instead of simple interpolation\n* 🎞️ Perfect for anime, cinematic footage & AI‑generated clips\n\n<details>\n<summary><strong>What makes SeedVR2 special?</strong></summary>\n\nUnlike classical upscalers, SeedVR2 uses diffusion guidance to:\n\n* Preserve motion coherence\n* Enhance fine texture detail\n* Avoid flickering and halo artifacts\n\nSee the guide node for optimal presets and workflow placement.\n\n</details>\n\n---\n\n## 📥 Downloads & Online Demo\n\n🔗 **CivitAI**\n[https://civitai.com/models/2173571?modelVersionId=2448013](https://civitai.com/models/2173571?modelVersionId=2448013)\n\n🔗 **HuggingFace**\n[https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO](https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO)\n\n🔗 **Try Online (TensorArt)**\n[https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8](https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8)\n\n---\n\n## 🎯 Required Custom Nodes\n\nThese nodes are required for full compatibility:\n\n* 🔧 [rgthree‑comfy](https://github.com/rgthree/rgthree-comfy)\n* 🖼️ [comfyui_image_metadata_extension](https://github.com/edelvarden/comfyui_image_metadata_extension)\n* 🎬 [SeedVR2 – Video Upscaler](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler) ⭐ **NEW**\n\n---\n\n## 🧠 Prompting Tips\n\n> **Natural language prompts work best** — think like describing a scene to a photographer or director.\n\n**Good example:**\n\n```text\nCinematic close‑up portrait, soft rim light, shallow depth of field, realistic skin texture, 50mm lens look\n```\n\n---\n\n<div align=\"center\">\n\n💡 **Fast. Clean. Photoreal.**\n*Built for creators who care about speed and quality.*\n\n</div>\n"
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+        "# 📐 Resolution Presets\n\n## ⭐ Recommended (Tested)\n**1920×1088** - Wide cinematic\n\n## 🚀 Fast (Both Versions)\n512×512 • 512×768 • 768×768\n768×1024 • 1024×768\n\n## 📱 Standard HD\n832×1216 • 1024×1024 • 1216×832\n\n## 🎬 High Quality\n1024×1536 • 1536×1024\n\n## 🎥 2K Cinematic\n1920×1088 ⭐ • 2048×1152 • 1920×1080\n\n---\n\n💡 **Quick Tips:**\n- **Portrait:** 512×768, 832×1216, 1024×1536\n- **Landscape:** 1216×832, 1920×1088 ⭐, 2048×1152\n- **Square:** 1024×1024\n\n**1920×1088** tested on RTX 4060 8GB!\nWorks perfectly with both FP8 & BF16."
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+        "# 🚀 Z-Image-Turbo-AIO\n\n> **Ultra‑Fast Photorealistic Generation** — lightweight, ultra‑fast models tuned to produce photoreal outputs even on low VRAM GPUs.\n\n---\n\n## 📌 Quick overview\n\n* **Two optimized builds:** BF16 for maximum precision, FP8 for speed/efficiency.\n* **Designed to run on as little as 8 GB VRAM.**\n* **Natural‑language prompts work best.**\n\n---\n\n## 🔄 Versions\n\n| Badge | Version      |    VRAM   | Focus                                                                         |\n| ----: | :----------- | :-------: | :---------------------------------------------------------------------------- |\n|    🟢 | **BF16‑AIO** | **20 GB** | Maximum precision and detail. Great for archival‑quality renders.             |\n|    🟡 | **FP8‑AIO**  | **10 GB** | Speed and efficiency while keeping good quality — ideal for quick iterations. |\n\n> **Note:** Both versions are engineered to be usable on **8 GB VRAM** (with the right settings and host configuration).\n\n---\n\n## ⚙️ Recommended settings\n\n```yaml\n# Minimal recommended config\nsteps: 9\ncfg_scale: 1.0  # DON'T CHANGE\nsampler: res_multistep | euler_ancestral\nscheduler: simple | beta\nnegative_prompts: []  # NO negative prompts\n```\n\n* **Steps:** `9` — tuned for this workflow (fast but high quality).\n* **CFG (cfg_scale):** `1.0` — *do not change* (important for how the model balances guidance).\n* **Sampler:** `res_multistep` or `euler_ancestral` — try both to compare artifact/film grain.\n* **Scheduler:** `simple` or `beta` — user preference; `beta` may be slightly more stable with FP8.\n* **Negative prompts:** intentionally left empty — this workflow benefits from *positive* guiding prompts.\n\n---\n\n## 🎲 What's new in this workflow\n\n### 🌟 Seed Variance Enhancer\n\nA brand‑new node that **adds controlled diversity** to outputs while using the same prompt — perfect for batch generation when you want varied but consistent results.\n\n<details>\n<summary>Usage (expand for example)</summary>\n\n**Basic idea:** provide a base seed and a variance parameter. The node will generate multiple nearby seeds and produce visually distinct results while keeping prompt semantics stable.\n\n**Example (pseudocode):**\n\n```text\nInput prompt: \"Photorealistic portrait of an astronaut at sunset\"\nBase seed: 123456\nVariance: 0.8\nOutputs: seed 123455, 123457, 123469, ...\n```\n\nSee the guide node for detailed parameter descriptions and best practice ranges.\n\n</details>\n\n---\n\n## 📥 Downloads & quick links\n\n* **CivitAI:** [https://civitai.com/models/2173571?modelVersionId=2448013](https://civitai.com/models/2173571?modelVersionId=2448013)\n* **HuggingFace:** [https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO](https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO)\n* **Try Online:** [https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8](https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8)\n\n> Tip: check the model page for version notes and community example images.\n\n---\n\n## 🎯 Required custom nodes\n\nThese nodes are required (or strongly recommended) to replicate the workflow exactly:\n\n* [rgthree‑comfy](https://github.com/rgthree/rgthree-comfy)\n* [comfyui_image_metadata_extension](https://github.com/edelvarden/comfyui_image_metadata_extension)\n* [SeedVarianceEnhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer) ⭐ **NEW**\n\n---\n\n## 🧪 Examples & prompt tips\n\n> **Tip:** Natural language prompts get the best results. Keep prompts descriptive but concise.\n\n**Example prompts**\n\n```text\nPhotorealistic portrait of a person with cinematic rim lighting, shallow depth of field, 50mm lens — ultra detailed skin, natural color grading.\n\nPhotorealistic city street at golden hour, wet pavement reflecting neon signs, cinematic composition, ultra realistic.\n```\n\n**Quick prompt checklist:**\n\n* Subject + mood + lighting\n* Lens / camera (optional) for DOF/scale hints\n* Material/texture details (skin, fabric, metal)\n* One or two style references at most\n\n---\n\n## ⚠️ Compatibility notes\n\n* Although both builds are usable on **8 GB VRAM**, the exact performance depends on host OS, GPU drivers, and sampler/scheduler choices.\n* If you see OOMs, try reducing image resolution, switching sampler, or using FP8 build.\n\n---\n\n## 🧾 Changelog (high level)\n\n* **NEW:** Seed Variance Enhancer node integrated.\n* **TUNED:** Default step & cfg presets for low‑VRAM stability.\n\n---\n\n💡 **Natural language prompts work best!**\n\n---\n\n*Created with ❤️ for fast, photoreal generation — enjoy and share examples!*\n"
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+        "# 🎲 Seed Variance Enhancer\n\n**Adds diversity to outputs with same prompt!**\n\nCompensates for low seed variance in Z-Image Turbo by adding controlled random noise to text embeddings.\n\n---\n\n## ⚙️ Settings:\n\n### randomize_percent (50)\nHow many embedding values to modify.\n- **Lower (20-40):** Subtle variations\n- **Medium (50-60):** Balanced ⭐\n- **Higher (70-90):** Strong diversity\n\n### strength (15-30)\nHow much noise to add.\n- **Lower (10-20):** Minor changes\n- **Medium (20-30):** Good balance ⭐\n- **Higher (40-50):** Major changes\n\n### noise_insert\n**'noise on beginning steps'** ⭐ Recommended  \nUses noise only at start, then switches to original prompt.  \n\n**'noise on all steps'**  \nMore aggressive, reduces prompt adherence.  \n\n**'noise on ending steps'**  \nExperimental, for advanced users.\n\n### steps_switchover_percent (20)\nWhen to switch back to original embedding (only for 'beginning steps' mode).\n\n### seed (0 = random)\nIndependent seed for noise generation.\n- **0:** Random each time\n- **Fixed number:** Reproducible variations\n\n---\n\n## 💡 How It Works:\n\n1. Takes your prompt embedding\n2. Randomly modifies parts of it\n3. Creates more diverse outputs\n4. Each seed gives different results\n\n---\n\n## 🎯 Recommended Settings:\n\n**For Z-Image Turbo:**\n- randomize_percent: **50**\n- strength: **20-30**\n- noise_insert: **'noise on beginning steps'**\n- steps_switchover_percent: **20**\n\n**Note:** Longer, detailed prompts work better!\n\n---\n\n## ⚠️ Trade-offs:\n\n**Benefits:**\n✅ More diverse outputs per seed\n✅ Unexpected creative results\n✅ Discover model capabilities\n\n**Side effects:**\n❌ Slightly reduced prompt adherence\n❌ May affect text rendering\n❌ Higher settings = less control\n\n---\n\n## 📦 Installation:\n\n[SeedVarianceEnhancer](https://github.com/ChangeTheConstants/SeedVarianceEnhancer)\n\nPlace in `ComfyUI/custom_nodes/`\n\n---\n\n**Tip:** Start with default settings, adjust based on results!"
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+        "# 🚀 Z-Image-Turbo-AIO\n\n## Ultra-Fast Photorealistic Generation!\n\n✨ **8-Step Lightning Speed**\n✨ **VAE + Text Encoder integrated**\n✨ **Bilingual text rendering (EN/CN)**\n✨ **No negative prompts needed**\n\n---\n\n## 🔄 Two Versions Available:\n\n### 🟢 Z-Image-BF16-AIO (20 GB)\n**Maximum Precision**\n- Precision: BFloat16\n- Steps: 8-10 (recommended: 8)\n- CFG: 1.0 (keep at 1.0!)\n- Sampler: res_multistep\n- Scheduler: simple\n- VRAM: 8GB works!\n\n### 🟡 Z-Image-FP8-AIO (10 GB)\n**Speed & Efficiency**\n- Precision: FP8\n- Steps: 8-10 (recommended: 8)\n- CFG: 1.0 (keep at 1.0!)\n- Sampler: res_multistep\n- Scheduler: simple\n- VRAM: 8GB perfect!\n\n---\n\n## ⚙️ Critical Settings\n\n### Both Versions:\n- Steps: 8\n- CFG: 1.0 (don't change!)\n- Sampler: res_multistep\n- Scheduler: simple\n- Resolution: 1920×1088 tested\n- NO negative prompts\n\n💡 Natural language prompts work best!\n\n---\n\n## 📥 Downloads\n\n**Main Model (Pick ONE):**\n- 🟢 Z-Image-BF16-AIO (20GB)\n- 🟡 Z-Image-FP8-AIO (10GB)\n\n**NO Lightning LoRAs Needed!**\nAlready optimized for 8-step generation.\n\n---\n\n## 📂 Installation\n\n```\n📂 ComfyUI/models/\n└── 📂 checkpoints/\n    └── z-image-turbo-fp8-aio.safetensors\n```\n\nNo separate VAE/encoder needed!"
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+        "# 📐 Resolution Presets\n\n## 🚀 Fast (Both Versions)\n512×512 • 512×768 • 768×768\n\n## 📱 Standard HD\n832×1216 • 1024×1024 • 1216×832\n\n## 🎬 High Quality\n1024×1536 • 1536×1024\n\n## 🎥 2K Cinematic\n2048×1152 • 1920×1080\n\n---\n\n💡 **Quick Tips:**\n- **Portrait:** 512×768, 832×1216\n- **Landscape:** 1216×832, 2048×1152\n- **Square:** 1024×1024\n\n**Full Model:** Any resolution works\n**Pruned Model:** Best under 1536px"
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+}

workflows/ZIT-AIO-v2.0.json

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+        "# 🚀 Z-Image-Turbo-AIO\n\n## Ultra-Fast Photorealistic Generation!\n\n✨ **8-Step Lightning Speed**\n✨ **VAE + Text Encoder integrated**\n✨ **Bilingual text rendering (EN/CN)**\n✨ **No negative prompts needed**\n✨ **Metadata saved automatically** (comfyui_image_metadata_extension)\n\n---\n\n## 🔄 Two Versions Available:\n\n### 🟢 Z-Image-BF16-AIO (20 GB)\n**Maximum Precision**\n- Precision: BFloat16\n- Steps: 9 (recommended)\n- CFG: 1.0 (keep at 1.0!)\n- Sampler: res_multistep or euler_ancestral\n- Scheduler: simple or beta\n- VRAM: Works on 8GB!\n\n### 🟡 Z-Image-FP8-AIO (10 GB)\n**Speed & Efficiency**\n- Precision: FP8\n- Steps: 9 (recommended)\n- CFG: 1.0 (keep at 1.0!)\n- Sampler: res_multistep or euler_ancestral\n- Scheduler: simple or beta\n- VRAM: Perfect for 8GB!\n\n---\n\n## ⚙️ Critical Settings\n\n### Both Versions:\n- **Steps:** 9\n- **CFG:** 1.0 (don't change!)\n- **Sampler:** res_multistep (detailed) or euler_ancestral (natural)\n- **Scheduler:** simple (clean) or beta (smooth)\n- **Resolution:** 1920×1088 tested & recommended\n- **NO negative prompts**\n\n💡 **Natural language prompts work best!**\n\n---\n\n## 📥 Download Links\n\n**CivitAI (Models + Workflow):**\n[Download on CivitAI](https://civitai.com/models/2173571?modelVersionId=2448013)\n\n**HuggingFace (Models):**\n[Download on HuggingFace](https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO)\n\n**TensorArt (Try Online - FP8):**\n[Test Online on TensorArt](https://tensorart.me/de-DE/models/939302608026244936/Z-Image-Turbo-AIO-FP8-FP8)\n\n---\n\n## 🎯 Required Custom Nodes\n\n**Essential:**\n- **rgthree-comfy:** [GitHub](https://github.com/rgthree/rgthree-comfy)\n- **comfyui_image_metadata_extension:** [GitHub](https://github.com/edelvarden/comfyui_image_metadata_extension)\n\n**Metadata extension saves all settings (prompt, model, LoRA, etc.) to images for easy CivitAI uploads!**\n\n---\n\n## 📂 Installation\n\n```\n📂 ComfyUI/models/\n└── 📂 checkpoints/\n    └── Z-Image-Turbo-FP8-AIO.safetensors (or BF16)\n```\n\n**No separate VAE/encoder needed!**\n**Everything is integrated in the AIO file!**"
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