This is an experimental project designed to produce Stereoscopic Portraits. It supports both Parallel-view and Cross-view modes, corresponding to two downloadable versions.
Performance:
When used as recommended, the subject of the portrait achieves a relatively high success rate. The background, in contrast, might require multiple attempts and might achieve a lower success rate.
User Guide: For optimal results and image quality, strictly follow the procedure outlined below:
Checkpoint: Realistic Vision V5.1
Textual Inversion: ng_deepnegative_v1_75t
Positive prompts: {prompt}, masterpiece, high detail, 8k, high detailed skin, 8k uhd, high quality
Negative prompts: ugly, disfigured, deformed, worst quality, low quality, ng_deepnegative_v1_75t
LoRA Weight: 0.8-1.0
Image Dimensions: Width: 832, Height: 560
Optional: Use Hires. fix to enhance image quality with a Denoising strength of 0.3.
Note:
Using the Realistic Vision V5.1 in tandem with ng_deepnegative_v1_75t can significantly improve the success rate and generated image quality. See the "Suggested Resources" section below for more details.
This LoRA is specifically designed for generating Stereoscopic Portraits with a human subject. Without a human subject, a 3D effect cannot be achieved.
For detailed information on Stereoscopy, refer to the Wikipedia entry titled "Stereoscopy".
这是一个实验性项目,用来生成 立体视觉肖像(Stereoscopic Portrait),支持 Parallel-view 与 Cross-view 两种模式(对应两个下载版本)。
在按照推荐方法使用的前提下,人物主体可以获得比较高的成功率,背景的成功率相较人物主体要低一些,有时需要多次尝试。
使用说明:(严格按照以下流程生成图片,可以获得比较高的成功率与图像质量。)
模型(checkpoint):Realistic Vision V5.1
嵌入式(Textual Inversion):ng_deepnegative_v1_75t
正面提示词:{prompt}, masterpiece, high detail, 8k, high detailed skin, 8k uhd, high quality
负面提示词:ugly, disfigured, deformed, worst quality, low quality, ng_deepnegative_v1_75t
LoRA 权重:0.8-1.0
图像尺寸:宽度:832,高度:560
可选:使用高清修复(Hires. fix)提升图像质量,重绘幅度(Denoising strength)0.3
注意:
配合使用 Realistic Vision V5.1 与 ng_deepnegative_v1_75t 可以极大提高成功率与生成图像质量。具体见下方“Suggested Resources”。
此 LoRA 只用于生成带有人物主体的立体视觉肖像图,如果不带有人物主体则无法产生立体效果。
关于立体视觉(Stereoscopy)的具体说明,参见维基百科“立体图”词条。