







WAN2.2在生成“东方古典”风格的人物写真方面就目前为止表现力无人能及。
而且对中文提示词的支持极为优秀。依然完爆目前的Z-IMAGE与QWEN-IMAGE。
采用高低噪双模型共同生图相比纯低噪模型生图依然有其优势。高低噪搭配出图有利于增加图片画面中的细节。
本工作流采用高级采样器进行采样,参数少调节方便,默认参数在图像表现力和图片差异性上达到一定平衡。
网友反映加密节点组,下载和解组都有问题,我就不用了,工作流已经解组。
测试演示视频:
https://www.bilibili.com/video/BV1ns6FBqEQn?vd_source=a5db6342ae91bf786f8799336a9e794a
WAN2.2 is unrivaled in generating character portraits in the Oriental Classical style to date.
It also boasts exceptional support for Chinese prompt words, and still outperforms the current Z-IMAGE and QWEN-IMAGE by a landslide.
Generating images with the combined high-and-low-noise dual models still holds distinct advantages over using a pure low-noise model alone. The combination of high and low noise in image generation helps enrich the fine details in the frame.
This workflow adopts the Advanced Sampler for sampling, featuring fewer parameters for easy adjustment. Its default parameters strike a sensible balance between image expressiveness and visual diversity.
Test Demo Video:
https://www.bilibili.com/video/BV1ns6FBqEQn?vd_source=a5db6342ae91bf786f8799336a9e794a
WAN2.2在生成“东方古典”风格的人物写真方面就目前为止表现力无人能及。
而且对中文提示词的支持极为优秀。依然完爆目前的Z-IMAGE与QWEN-IMAGE。
采用高低噪双模型共同生图相比纯低噪模型生图依然有其优势。高低噪搭配出图有利于增加图片画面中的细节。
本工作流采用高级采样器进行采样,参数少调节方便,默认参数在图像表现力和图片差异性上达到一定平衡。
网友反映加密节点组,下载和解组都有问题,我就不用了,工作流已经解组。
测试演示视频:
https://www.bilibili.com/video/BV1ns6FBqEQn?vd_source=a5db6342ae91bf786f8799336a9e794a
WAN2.2 is unrivaled in generating character portraits in the Oriental Classical style to date.
It also boasts exceptional support for Chinese prompt words, and still outperforms the current Z-IMAGE and QWEN-IMAGE by a landslide.
Generating images with the combined high-and-low-noise dual models still holds distinct advantages over using a pure low-noise model alone. The combination of high and low noise in image generation helps enrich the fine details in the frame.
This workflow adopts the Advanced Sampler for sampling, featuring fewer parameters for easy adjustment. Its default parameters strike a sensible balance between image expressiveness and visual diversity.
Test Demo Video:
https://www.bilibili.com/video/BV1ns6FBqEQn?vd_source=a5db6342ae91bf786f8799336a9e794a