RedCraft-红潮 ZImage DPO “Veris
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RedCraft-红潮 ZImage DPO “Veris
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Characterization

Accentuation

Composition

RedCraft-红潮 ZImage DPO “Veris
RedCraft-红潮 ZImage DPO “Veris
RedCraft-红潮 ZImage DPO “Veris
RedCraft-红潮 ZImage DPO “Veris
RedCraft-红潮 ZImage DPO “Veris

Zimage DPO蒸馏模型在光照 、 色彩忠实度和材质真实性方面实现了重大飞跃——更自然的光影、更逼真的色彩以及经得起细致推敲的细节。

全新 ZIDPO “Veris”搭载了最新一代 ZIB 加速发动机。基于 RedZDX 训练数据,我们进一步提炼出更高效 、 更精细的基于 Zimage 的模型

仅需8步即可生成更有层次感、高度逼真的图像

主要亮点 :
• Realism-first prototyping — near-zero latency for LoRAs, with lighting and color already very close to final training targets
以真实为先的原型制作——LoRA 几乎无延迟,光照和色彩已非常接近最终训练目标
• High-entropy stochastic pre-sampling — delivers fast, high-quality realistic initial noise for ZImage pipelines
高熵随机预采样——为 Zimage 管道提供快速、高质量且真实的初始噪声
• Hybrid realism workflows — seamless integration with Klein 9B for cascaded refinement or ensemble boosting, pushing visual fidelity and consistency even higher
混合写实工作流程——与 Klein 9B 无缝集成,实现层级精细或整体提升,进一步提升视觉真实度和一致性
• Every step toward truth deserves full commitment.
迈向真理的每一步都值得全心投入。

This model is sourced from an external transfer (transfer address: https://civitai.com/images/122487176 ),if the original author has objections to this transfer, you can click,
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request

haiyang liu

haiyang liu

Characterization

Accentuation

Composition

Model Information

Active
Original author:
红潮
Model Type:
Unet
Basic Model:
Z-image-base
Resource Name:
models/unet/redcraftFeb2626LatestZib_zibDistilledDPOVeris.safetensors
MD5:
7c026b824fa5e594e3987efa20e0bced

Zimage DPO蒸馏模型在光照 、 色彩忠实度和材质真实性方面实现了重大飞跃——更自然的光影、更逼真的色彩以及经得起细致推敲的细节。

全新 ZIDPO “Veris”搭载了最新一代 ZIB 加速发动机。基于 RedZDX 训练数据,我们进一步提炼出更高效 、 更精细的基于 Zimage 的模型

仅需8步即可生成更有层次感、高度逼真的图像

主要亮点 :
• Realism-first prototyping — near-zero latency for LoRAs, with lighting and color already very close to final training targets
以真实为先的原型制作——LoRA 几乎无延迟,光照和色彩已非常接近最终训练目标
• High-entropy stochastic pre-sampling — delivers fast, high-quality realistic initial noise for ZImage pipelines
高熵随机预采样——为 Zimage 管道提供快速、高质量且真实的初始噪声
• Hybrid realism workflows — seamless integration with Klein 9B for cascaded refinement or ensemble boosting, pushing visual fidelity and consistency even higher
混合写实工作流程——与 Klein 9B 无缝集成,实现层级精细或整体提升,进一步提升视觉真实度和一致性
• Every step toward truth deserves full commitment.
迈向真理的每一步都值得全心投入。

This model is sourced from an external transfer (transfer address: https://civitai.com/images/122487176 ),if the original author has objections to this transfer, you can click,
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request