Sync 5 new model versions from Civitai (Batch 5/21)

Friendly_Z-Image-Turbo/ZImageTurbo/friendlyZImageTurbo_v10.zip

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+size 9464

Friendly_Z-Image-Turbo/ZImageTurbo/friendlyZImageTurbo_v113NoMultigpu.zip

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+size 9994

Friendly_Z-Image-Turbo_ControlNet/ZImageTurbo/friendlyZImageTurbo_v10Multigpu.zip

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+size 17963

GonzaLomo_Z-Image_Refiner_Workflow/ZImageTurbo/gonzalomoZImage_v10.zip

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+oid sha256:b286303544f4d60bb8f01bdddc6f66246a62e3e1f10a5b5fc59752646b31ae4b
+size 7460

GonzaLomo_Z-Image_Refiner_Workflow/ZImageTurbo/gonzalomoZImage_v11.zip

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+oid sha256:5668da80410d97ce64118950b02f3887ae474f89454b3d5c50ad36a7ae4ede0e
+size 6540

ZImageTurbo_info.md

@@ -1170,4 +1170,261 @@ GitHub
 *   **Size**: 0.01 MB
 *   **Hash (AutoV2)**: `07CC6795E6`
 *   **Hash (SHA256)**: `07CC6795E6DA6F2060624EA2BCEF4F43D4015ECDB9DF540C80E2FBCFB61272D9`
+---
+
+---
+# Friendly Z-Image-Turbo (Version: v1.1.3 (No MultiGPU))
+**Creator**: [RusselX](https://civitai.com/user/RusselX)
+**Type**: Workflows
+**Base Model**: ZImageTurbo
+**Version Uploaded**: 2025-12-03
+**Trigger Words**: `N/A`
+**Civitai Model ID**: 2176462
+**Civitai Version ID**: 2467182
+**Stats (at time of fetch for this version)**:
+*   Downloads: 87
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## Description (Parent Model)
+Welcome to my
+💫🌄
+Friendly Z-Image-Turbo
+✨ Less mess, more magic
+Z-Image-Turbo - everyone already knows it's overkill!)
+Z-Image is a 6B parameter efficient image generation foundation model with new Scalable Single-Stream DiT (S3-DiT) architecture where text, visual semantic tokens, and image VAE tokens are concatenated at the sequence level to serve as a unified input stream, maximizing parameter efficiency. It has a great understanding of prompts, styles and has a high attention to detail.
+🚀 Z-Image-Turbo has a speed and quality balance advantage over other local models such as Flux 1, Flux 2, Qwen and others!
+For more optimization use v1.1.2 (MultiGPU) version - the same as 1.1.3 but with MultiGPU optimizer. v1.1.3 is more stable but a little bit heavier.
+Generate 2048 x 2048 images even with 6GB VRAM!
+I offer my workflow, with which you can generate on a full BF16 model without sacrificing quality and at the same speed. This requires at least 6GB of video memory and at least 32GB of RAM. No Tritons or SageAttention! Simply configure the required amount of video memory dumped to RAM in the "VRAM Optimizer+" node.
+The latest version of ComfyUI is required.
+💻
+System requirements:
+Minimum system requirements:
+RTX 3000-s,
+6GB VRAM, 32GB+ RAM
+, 8-core processor, SSD, latest ComfyUI
+📌
+Detailed tips and links in the workflow
+✨
+Workflow features:
+Extremely user-friendly interface
+Maximum performance even on low-end systems with at least 6GB of VRAM
+Enchance details parameter
+Support for up to 3 Lora
+Detailed tooltips, including recommended samplers for best quality
+Manual random seed for complete control over generations
+🤗🙏🏼 Thanks to
+Tongyi-MAI
+Original repo —
+GitHub
+## Civitai Links
+*   **[View This Version on Civitai →](https://civitai.com/models/2176462?modelVersionId=2467182)**
+*   [View Full Model Page →](https://civitai.com/models/2176462)
+*   [View Creator Profile →](https://civitai.com/user/RusselX)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `friendlyZImageTurbo_v113NoMultigpu.zip`
+*   **Size**: 0.01 MB
+*   **Hash (AutoV2)**: `46BB5CFF56`
+*   **Hash (SHA256)**: `46BB5CFF5676649D11DDFB4EA83697CFDEAA753BDAEDCE777C2C90B982BA63F5`
+---
+
+---
+# Friendly Z-Image-Turbo (Version: v1.0)
+**Creator**: [RusselX](https://civitai.com/user/RusselX)
+**Type**: Workflows
+**Base Model**: ZImageTurbo
+**Version Uploaded**: 2025-11-29
+**Trigger Words**: `N/A`
+**Civitai Model ID**: 2176462
+**Civitai Version ID**: 2450933
+**Stats (at time of fetch for this version)**:
+*   Downloads: 63
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## Description (Parent Model)
+Welcome to my
+💫🌄
+Friendly Z-Image-Turbo
+✨ Less mess, more magic
+Z-Image-Turbo - everyone already knows it's overkill!)
+Z-Image is a 6B parameter efficient image generation foundation model with new Scalable Single-Stream DiT (S3-DiT) architecture where text, visual semantic tokens, and image VAE tokens are concatenated at the sequence level to serve as a unified input stream, maximizing parameter efficiency. It has a great understanding of prompts, styles and has a high attention to detail.
+🚀 Z-Image-Turbo has a speed and quality balance advantage over other local models such as Flux 1, Flux 2, Qwen and others!
+For more optimization use v1.1.2 (MultiGPU) version - the same as 1.1.3 but with MultiGPU optimizer. v1.1.3 is more stable but a little bit heavier.
+Generate 2048 x 2048 images even with 6GB VRAM!
+I offer my workflow, with which you can generate on a full BF16 model without sacrificing quality and at the same speed. This requires at least 6GB of video memory and at least 32GB of RAM. No Tritons or SageAttention! Simply configure the required amount of video memory dumped to RAM in the "VRAM Optimizer+" node.
+The latest version of ComfyUI is required.
+💻
+System requirements:
+Minimum system requirements:
+RTX 3000-s,
+6GB VRAM, 32GB+ RAM
+, 8-core processor, SSD, latest ComfyUI
+📌
+Detailed tips and links in the workflow
+✨
+Workflow features:
+Extremely user-friendly interface
+Maximum performance even on low-end systems with at least 6GB of VRAM
+Enchance details parameter
+Support for up to 3 Lora
+Detailed tooltips, including recommended samplers for best quality
+Manual random seed for complete control over generations
+🤗🙏🏼 Thanks to
+Tongyi-MAI
+Original repo —
+GitHub
+## Civitai Links
+*   **[View This Version on Civitai →](https://civitai.com/models/2176462?modelVersionId=2450933)**
+*   [View Full Model Page →](https://civitai.com/models/2176462)
+*   [View Creator Profile →](https://civitai.com/user/RusselX)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `friendlyZImageTurbo_v10.zip`
+*   **Size**: 0.01 MB
+*   **Hash (AutoV2)**: `122A0ECD4F`
+*   **Hash (SHA256)**: `122A0ECD4F280F85FF0A67E1AD9463BF105A1CCDFAA41DED584565F1D88E8724`
+---
+
+---
+# Friendly Z-Image-Turbo ControlNet (Version: v1.0 (MultiGPU))
+**Creator**: [RusselX](https://civitai.com/user/RusselX)
+**Type**: Workflows
+**Base Model**: ZImageTurbo
+**Version Uploaded**: 2025-12-04
+**Trigger Words**: `N/A`
+**Civitai Model ID**: 2193819
+**Civitai Version ID**: 2470175
+**Stats (at time of fetch for this version)**:
+*   Downloads: 122
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## Description (Parent Model)
+Important: if you have
+ModelPatchLoader error you should update your ComfyUI to nightly version!
+Welcome to my
+💫🌄
+Friendly Z-Image-Turbo ControlNet!
+✨ Less mess, more magic
+Z-Image-Turbo - everyone already knows it's overkill!) And now this is the ControlNet and everything is possible!
+Choose one of five ControlNet modes or use them together at once: Canny, Depth, Openpose, HED, MLSD.
+🚀 Z-Image-Turbo has a speed and quality balance advantage over other local models such as Flux 1, Flux 2, Qwen and others!
+Generate 2048 x 2048 images even with 6GB VRAM!
+I offer my workflow, with which you can generate on a full BF16 model without sacrificing quality and at the same speed. This requires at least 6GB of video memory and at least 32GB of RAM. No Tritons or SageAttention! Simply configure the required amount of video memory dumped to RAM in the "VRAM Optimizer+" node (MultiGPU node is required).
+The latest version of ComfyUI is required.
+💻
+System requirements:
+Minimum system requirements:
+RTX 3000-s,
+6GB VRAM, 32GB+ RAM
+, 8-core processor, SSD, latest ComfyUI
+📌
+Detailed tips and links in the workflow
+✨
+Workflow features:
+Extremely user-friendly interface
+Maximum performance even on low-end systems with at least 6GB of VRAM
+Enchance details parameter
+Support for 5 ControlNet models
+Support for up to 3 Lora
+Detailed tooltips, including recommended samplers for best quality
+Manual random seed for complete control over generations
+🤗🙏🏼 Thanks to
+Tongyi-MAI
+Original repo —
+GitHub
+## Civitai Links
+*   **[View This Version on Civitai →](https://civitai.com/models/2193819?modelVersionId=2470175)**
+*   [View Full Model Page →](https://civitai.com/models/2193819)
+*   [View Creator Profile →](https://civitai.com/user/RusselX)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `friendlyZImageTurbo_v10Multigpu.zip`
+*   **Size**: 0.02 MB
+*   **Hash (AutoV2)**: `759184336D`
+*   **Hash (SHA256)**: `759184336D7D11A14EC843D414472DF47263583C96144B86149B971B3036A3DC`
+---
+
+---
+# GonzaLomo Z-Image Refiner Workflow (Version: v1.1)
+**Creator**: [GBRX](https://civitai.com/user/GBRX)
+**Type**: Workflows
+**Base Model**: ZImageTurbo
+**Version Uploaded**: 2025-12-03
+**Trigger Words**: `N/A`
+**Civitai Model ID**: 2172100
+**Civitai Version ID**: 2464585
+**Stats (at time of fetch for this version)**:
+*   Downloads: 803
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## Description (Parent Model)
+This workflow is intended to be used with the
+Z-Image Turbo
+model to generate an image and then refine the image using the
+GonzaLomo V6.0 Photo XL
+model. V6.0 will provide the image with much better detailed anatomical features.
+Note that it's not required to use the GonzaLomo SDXL model as any photorealistic SDXL model should do a very good job at refining the Z-Image image.
+The different detailers require separate models that should go in your ComfyUI /models/ultralytics/bbox folder. You can find these files
+here
+and
+here
+.
+## Civitai Links
+*   **[View This Version on Civitai →](https://civitai.com/models/2172100?modelVersionId=2464585)**
+*   [View Full Model Page →](https://civitai.com/models/2172100)
+*   [View Creator Profile →](https://civitai.com/user/GBRX)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `gonzalomoZImage_v11.zip`
+*   **Size**: 0.01 MB
+*   **Hash (AutoV2)**: `5668DA8041`
+*   **Hash (SHA256)**: `5668DA80410D97CE64118950B02F3887AE474F89454B3D5C50AD36A7AE4EDE0E`
+---
+
+---
+# GonzaLomo Z-Image Refiner Workflow (Version: v1.0)
+**Creator**: [GBRX](https://civitai.com/user/GBRX)
+**Type**: Workflows
+**Base Model**: ZImageTurbo
+**Version Uploaded**: 2025-11-28
+**Trigger Words**: `N/A`
+**Civitai Model ID**: 2172100
+**Civitai Version ID**: 2446008
+**Stats (at time of fetch for this version)**:
+*   Downloads: 601
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## Description (Parent Model)
+This workflow is intended to be used with the
+Z-Image Turbo
+model to generate an image and then refine the image using the
+GonzaLomo V6.0 Photo XL
+model. V6.0 will provide the image with much better detailed anatomical features.
+Note that it's not required to use the GonzaLomo SDXL model as any photorealistic SDXL model should do a very good job at refining the Z-Image image.
+The different detailers require separate models that should go in your ComfyUI /models/ultralytics/bbox folder. You can find these files
+here
+and
+here
+.
+## Civitai Links
+*   **[View This Version on Civitai →](https://civitai.com/models/2172100?modelVersionId=2446008)**
+*   [View Full Model Page →](https://civitai.com/models/2172100)
+*   [View Creator Profile →](https://civitai.com/user/GBRX)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `gonzalomoZImage_v10.zip`
+*   **Size**: 0.01 MB
+*   **Hash (AutoV2)**: `B286303544`
+*   **Hash (SHA256)**: `B286303544F4D60BB8F01BDDDC6F66246A62E3E1F10A5B5FC59752646B31AE4B`
 ---

civitai_tracker.json

@@ -92,7 +92,22 @@
     "2176462": {
       "name": "Friendly Z-Image-Turbo",
       "versions": [
-        "2460113"
+        "2460113",
+        "2467182",
+        "2450933"
+      ]
+    },
+    "2193819": {
+      "name": "Friendly Z-Image-Turbo ControlNet",
+      "versions": [
+        "2470175"
+      ]
+    },
+    "2172100": {
+      "name": "GonzaLomo Z-Image Refiner Workflow",
+      "versions": [
+        "2464585",
+        "2446008"
       ]
     }
   },
@@ -116,6 +131,11 @@
     "2447012",
     "2472200",
     "2457855",
-    "2460113"
+    "2460113",
+    "2467182",
+    "2450933",
+    "2470175",
+    "2464585",
+    "2446008"
   ]
 }