Z-Image Turbo (6B) on 6GB GPU: Settings & Workflow Source for Beginners

Z-Image Turbo needs 20GB+ VRAM normally, but GGUF makes it work on 6GB cards.

Here's everything you need:

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## ⚙️ Critical Settings

| Parameter | Value | Note |

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

| CFG Scale | 1.0 | Higher = burned image |

| Steps | 8-10 | Turbo model |

| Sampler | euler | |

| Scheduler | simple | |

| Resolution | 1024x1024 | Max for 6GB |

| Batch Size | 1 | |

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## 📦 Models for 6GB VRAM

| Component | File | Link |

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

| UNET | z_image_turbo-q3_k_s.gguf | [HuggingFace]( https://short.smartart.live/nmRRFI )|

| Text Encoder | qwen3-4b-q4_k_m.gguf | [HuggingFace](https://short.smartart.live/buIlBS) |

| VAE | ae.safetensors | [HuggingFace](https://short.smartart.live/ZIrnRa) |

⚠️ Required node: [ComfyUI-GGUF](https://short.smartart.live/oBS5gY)

- ✅ Legible text on signs

- ✅ Bilingual prompts (EN + CN)

- ✅ ~15 sec per image on 6GB

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## 📥 Workflows + Full Guide

I've prepared 4 ready-to-use workflows for different setups:

| Workflow | For Who |

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

| 6GB Low VRAM | RTX 3060 |

| Basic BF16/FP8 | 12GB+ cards |

| GGUF Variant | 8GB cards |

| All-in-One | Single checkpoint users |

Plus the full guide includes:

- Many test prompts with results

- Step-by-step screenshots

- FAQ

- Troubleshooting section

I can't fit the entire guide into one Civitai post due to size limits. The article is over 3000 words long, includes multiple JSON files, and has a lot of photos. 😅

Full article available with all downloads: https://short.smartart.live/7JX4cT

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Questions? Ask in best ComfyUI forum: https://short.smartart.live/qk3P9F