--- license: apache-2.0 tags: - image-generation - text-to-image - z-image --- # Z-Image-Turbo_clear - **Guide (External site)**: [English](https://www.ai-image-journey.com/2025/12/z-image-turbo-clear.html) | [Japanese](https://note.com/ai_image_journey/n/nd1323246e146) - [Civitai](https://civitai.com/models/2197598?modelVersionId=2474394) - [Z-Image_clear_photoreal](https://huggingface.co/easygoing0114/Z-Image_clear_photoreal) - [Z-Image_clear_anime](https://huggingface.co/easygoing0114/Z-Image_clear_anime) - [Z-Image_clear_vae](https://huggingface.co/easygoing0114/Z-Image_clear_vae)
Z-Image-Turbo_FP32_clear_vivid_vae_anime
Z-Image-Turbo_FP32_clear_vivid_vae_anime
## Compare to [Z-Image-Turbo (Original)](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo)
Z-Image-Turbo_clear_blue_dress
Z-Image-Turbo_original_blue_dress

Z-Image-Turbo_clear | Z-Image-Turbo

Z-Image-Turbo_clear_blue_dress_close_up
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 in conjunction with the dedicated VAE, **[Z-Image_clear_vae](https://huggingface.co/easygoing0114/Z-Image_clear_vae)**. --- ## Model Formats and Image Quality Generally, the image quality ranks in the following order: **FP32 > FP16 ≒ BF16 > INT8_ConvRot_HQ > MXFP8 > FP8_svd_scaled > FP8** - **FP32** is mainly recommended for training purposes. - **FP16 / BF16** can generate high-quality illustrations. - **INT8_ConvRot_HQ** offers an excellent balance of speed and quality while using roughly half the VRAM of FP16 / BF16. - **MXFP8, FP8_svd_scaled, and FP8** are currently **not recommended**, as they are inferior to INT8_ConvRot_HQ in both speed and image quality. For a detailed comparison of each format, please refer to [this page](https://www.ai-image-journey.com/2026/06/floating-point-precision-speed.html). --- ## Workflow
  Z-Image-Turbo_clear_workflow_20251226
This PNG image contains a ComfyUI workflow. --- ## Recomended Settings - Sampler: - euler - res_multistep - Scheduler: beta - Steps: 9 - ModelSamplingAuraFlow: shift 7.5 (3-9) --- ## Upscaler your choice, examples: - [4x-SwinIR-L_GAN](https://huggingface.co/easygoing0114/AI_upscalers/tree/main) - [4x_NMKD-Superscale-SP_178000_G](https://openmodeldb.info/models/4x-NMKD-Superscale) --- ## Tips (External Sites) - FP / BF Format Image Quality and Generation Time: [English](https://www.ai-image-journey.com/2026/06/floating-point-precision-speed.html) | [Japanese](https://note.com/ai_image_journey/n/n99d0ed2f1c1d) - ComfyUI VRAM management: [English](https://www.ai-image-journey.com/2025/03/comfyui-setting.html) | [Japanese](https://note.com/ai_image_journey/n/nc46cfff6c3db) - Color Correct custom nodes in ComfyUI: [English](https://www.ai-image-journey.com/2025/09/comfyui-easygoing-nodes.html) | [Japanese](https://note.com/ai_image_journey/n/n5bb33311b866) - About VAE: [English](https://www.ai-image-journey.com/2026/04/sdxl-anime-natural-vae.html) | [Japanese](https://note.com/ai_image_journey/n/nd22f8c4cabc7) --- ## License - [Apache-2.0](./LICENSE)