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  To a certain extent, the problem of ZIB color deviation has been reduced, but it is recommended to adjust the color appropriately according to the art style
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  - inference cfg: 1.0(建议1.0)
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  - inference steps: 10(10-15步)
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  - sampler / scheduler: Euler / simple
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  The art style leans towards realism
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  Retains ZIB's creative ability and reduces the collapse of Human anatomy.
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  ## Z-Image-Distilled V1 2026/1/30
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  This model is a **direct distillation-accelerated version** based on the original **Z-Image** (non-Turbo) source. Its purpose is to test LoRA training effects on the Z-Image (non-turbo) version while significantly improving inference/test speed. The model **does not incorporate any weights or style from Z-Image-Turbo** at all — it is a **pure-blood version** based purely on Z-Image, effectively retaining the original Z-Image's adaptability, random diversity in outputs, and overall image style.
 
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  To a certain extent, the problem of ZIB color deviation has been reduced, but it is recommended to adjust the color appropriately according to the art style
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+ <p align="center">
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+ <img src="6.png" width="1200"/>
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+ </p>
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+
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  - inference cfg: 1.0(建议1.0)
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  - inference steps: 10(10-15步)
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  - sampler / scheduler: Euler / simple
 
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  The art style leans towards realism
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  Retains ZIB's creative ability and reduces the collapse of Human anatomy.
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+ <p align="center">
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+ <img src="3.png" width="1200"/>
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+ </p>
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+
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+ <p align="center">
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+ <img src="4.png" width="1200"/>
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+ </p>
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  ## Z-Image-Distilled V1 2026/1/30
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  This model is a **direct distillation-accelerated version** based on the original **Z-Image** (non-Turbo) source. Its purpose is to test LoRA training effects on the Z-Image (non-turbo) version while significantly improving inference/test speed. The model **does not incorporate any weights or style from Z-Image-Turbo** at all — it is a **pure-blood version** based purely on Z-Image, effectively retaining the original Z-Image's adaptability, random diversity in outputs, and overall image style.