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工作流 / 图像 / Z image turbo GGUF lowvram beginner friendly
Z image turbo GGUF lowvram beginner friendly

Z image turbo GGUF lowvram beginner friendly

Z image turbo GGUF lowvram beginner friendly

☕ One coffee = one happy creator: https://buymeacoffee.com/the_frizzy1Fast, tiny text to image with Z-Image Turbo, GGUF-quantised so it runs on 4 GB VRAM. A few steps per image, a Qwen-3 4B text encoder and the Flux-styl…

图像 4 个节点 266 次使用 The_frizzy1 27 KB

下载工作流 JSON 查看官方来源

下载后把文件拖进 ComfyUI 窗口即可打开。

需要的权重

这个工作流引用了 1 个权重文件，其中 0 个能在本站模型库里找到。

The_frizzy1_z-image-turbo-gguf_v1.0.1.json 模型库暂未收录

节点构成

MarkdownNote × 2
SaveImage × 1
f2fdebf6-dfaf-43b6-9eb2-7f70613cfdc1 × 1

官方标注的模型

ae.safetensorsqwen_3_4b.safetensorsz-image-turbo-q8_0.gguf

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

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66 "## Downloads - put each file in the ComfyUI folder shown\n\nFull list: `downloads.md`.\n\n**diffusion_models/**\n- [z-image-turbo-q8_0.gguf](https://huggingface.co/unsloth/Z-Image-Turbo-GGUF/resolve/main/z-image-turbo-Q8_0.gguf) (7.2 GB). The download is named `z-image-turbo-Q8_0.gguf`: save it as `z-image-turbo-q8_0.gguf`, or pick it in the GGUF loader.\n\n**text_encoders/**\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors) (8.0 GB)\n\n**vae/**\n- [ae.safetensors](https://huggingface.co/ffxvs/vae-flux/resolve/main/ae.safetensors)\n\n**Custom nodes:** [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF), [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes) (the GGUF loader).\n\n```\nComfyUI/\n models/\n diffusion_models/\n z-image-turbo-q8_0.gguf\n text_encoders/\n qwen_3_4b.safetensors\n vae/\n ae.safetensors\n```\n"
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