<h1 id="z-image-turbo_clear">Z-Image-Turbo_clear</h1><ul><li>Guide (External site): <a target="_blank" rel="ugc" href="https://www.ai-image-journey.com/2025/12/z-image-turbo-clear.html">English</a> | <a target="_blank" rel="ugc" href="https://note.com/ai_image_journey/n/nd1323246e146">Japanese</a></li><li><a target="_blank" rel="ugc" href="https://huggingface.co/easygoing0114/Z-Image-Turbo_clear">Hugging Face</a></li><li>VAE: <a target="_blank" rel="ugc" href="https://civarchive.com/models/2191617/z-imageclearvae">Z-Image_clear_vae</a></li></ul><h2 id="compare-to-z-image-turbo-(original)">Compare to Z-Image-Turbo (Original)</h2>Z-Image-Turbo_clear | Z-Image-Turbo<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e24c06f8-2b7a-4011-a69e-87a181524f51/width=525/e24c06f8-2b7a-4011-a69e-87a181524f51.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0a7fa685-7aae-4c4b-92f4-9239e686f1e6/width=525/0a7fa685-7aae-4c4b-92f4-9239e686f1e6.jpeg" />The Z-Image-Turbo_clear model is a fine-tuned version of Z-Image-Turbo that improves details compared to the original.For better results, please use it with the dedicated VAE, <a target="_blank" rel="ugc" href="https://civarchive.com/models/2191617/z-imageclearvae">Z-Image_clear_vae</a>.<hr /><h2 id="model-formats-and-image-quality">Model Formats and Image Quality</h2>Generally, the image quality ranks in the following order:FP32 &gt; FP16 ≒ BF16 &gt; INT8_ConvRot_HQ &gt; MXFP8 &gt; FP8_svd_scaled &gt; FP8<ul><li>FP32 is mainly recommended for training purposes.</li><li>FP16 / BF16 can generate high-quality illustrations.</li><li>INT8_ConvRot_HQ offers an excellent balance of speed and quality while using roughly half the VRAM of FP16 / BF16.</li><li>MXFP8, FP8_svd_scaled, and FP8 are currently not recommended, as they are inferior to INT8_ConvRot_HQ in both speed and image quality.</li></ul>For a detailed comparison of each format, please refer to <a target="_blank" rel="ugc" href="https://www.ai-image-journey.com/2026/06/floating-point-precision-speed.html">this page</a>.<hr /><h2 id="recomended-settings">Recomended Settings</h2><ul><li>Sampler:<ul><li>euler</li><li>res_multistep</li></ul></li><li>Scheduler: beta</li><li>Steps: 9</li><li>ModelSamplingAuraFlow: shift 7.5 (3-9)</li></ul><hr /><h2 id="upscaler">Upscaler</h2>your choice, examples:<ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/easygoing0114/AI_upscalers/tree/main">4x-SwinIR-L_GAN</a></li><li><a target="_blank" rel="ugc" href="https://openmodeldb.info/models/4x-NMKD-Superscale">4x_NMKD-Superscale-SP_178000_G</a></li></ul><hr /><h2 id="tips-(external-sites)">Tips (External Sites)</h2><ul><li>ComfyUI VRAM management: <a target="_blank" rel="ugc" href="https://www.ai-image-journey.com/2025/03/comfyui-setting.html">English</a> | <a target="_blank" rel="ugc" href="https://note.com/ai_image_journey/n/nc46cfff6c3db">Japanese</a></li><li>FP / BF Format Image Quality and Generation Time: <a target="_blank" rel="ugc" href="https://www.ai-image-journey.com/2026/06/floating-point-precision-speed.html">English</a> | <a target="_blank" rel="ugc" href="https://note.com/ai_image_journey/n/n99d0ed2f1c1d">Japanese</a></li><li>Steps and Scheduler: <a target="_blank" rel="ugc" href="https://www.ai-image-journey.com/2025/06/step-schedulers.html">English</a> | <a target="_blank" rel="ugc" href="https://note.com/ai_image_journey/n/n0878f3eb6e6e">Japanese</a></li><li>Color Correct custom nodes in ComfyUI: <a target="_blank" rel="ugc" href="https://www.ai-image-journey.com/2025/09/comfyui-easygoing-nodes.html">English</a> | <a target="_blank" rel="ugc" href="https://note.com/ai_image_journey/n/n5bb33311b866">Japanese</a></li></ul><hr /><h2 id="license">License</h2><ul><li><a target="_blank" rel="ugc" href="https://huggingface.co/easygoing0114/Z-Image-Turbo_clear/blob/main/LICENSE">Apache-2.0</a></li></ul>

Z-Image-Turbo_clear

zImageTurboClear_int8ConvrotHQ.safetensors

INT8_ConvRot_HQ

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