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        "## 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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        "## How to use\n\n**What it does:** text in, one image out with Z-Image Turbo (GGUF Q8_0) in 8 steps. Qwen-3 4B text encoder, Flux `ae` VAE. Everything sits in the **Text to Image (Z-Image-Turbo)** node.\n\n**Inputs (on the main node)**\n- **prompt**: describe the picture you want.\n- **width / height**: 1088 x 1920 (portrait) by default. Swap them for landscape.\n- **clip_name**: `qwen_3_4b.safetensors` · **vae_name**: `ae.safetensors`.\n- **steps**: 8 · **control after generate**: randomize (a new seed each run).\n\n**Settings inside the node** (double-click it to open)\n- **GGUF loader**: loads `Z-Image\\z-image-turbo-q8_0.gguf` from `diffusion_models/`. If your file sits elsewhere or has another name, pick it here once.\n- **KSampler**: cfg 1, res_multistep, simple, denoise 1. **ModelSamplingAuraFlow** shift 3.\n- The negative input is zeroed (ConditioningZeroOut), so there is no negative prompt.\n\nThen **Run**. The image lands in `ComfyUI/output/` as `z-image-turbo_xxxxx.png`.\n\n**Tips**\n- At cfg 1 the model draws what the prompt names. Say what you want to see, in positive words.\n- For a fixed result set control after generate to fixed.\n\n**Faster attention:** start ComfyUI with --use-sage-attention (less VRAM). --use-ck-attention changes the image for the same seed.\n\n**Run on (v1.0.0, same graph):** ComfyUI 0.45.3 on a 24 GB card (RTX PRO 4000 Blackwell, sage attention): 1088x1920, 8 steps, about 24 s per image warm, 19.0 to 19.4 GB peak VRAM (24 GB server run).\n"
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