metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - concept
  - portrait
  - parallelview
  - stereoscopic
  - crossview
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: null
widget:
  - text: >-
      monkey king, masterpiece, high detail, 8k, high detailed skin, 8k uhd,
      high quality 
    output:
      url: 2690164.jpeg
  - text: >-
      a young lady holding a cat, full body masterpiece, high detail, 8k, high
      detailed skin, 8k uhd, high quality 
    output:
      url: 2690163.jpeg
  - text: >-
      a young woman with glasses in campus, half body, masterpiece, high detail,
      8k, high detailed skin, 8k uhd, high quality 
    output:
      url: 2690160.jpeg
  - text: >-
      a young man in a park, masterpiece, high detail, 8k, high detailed skin,
      8k uhd, high quality 
    output:
      url: 2690167.jpeg
  - text: >-
      a princess in front of a castle, half body masterpiece, high detail, 8k,
      high detailed skin, 8k uhd, high quality 
    output:
      url: 2690166.jpeg

Stereoscopic Portrait - 3D 立体肖像

Prompt
monkey king, masterpiece, high detail, 8k, high detailed skin, 8k uhd, high quality

Prompt
a young lady holding a cat, full body masterpiece, high detail, 8k, high detailed skin, 8k uhd, high quality

Prompt
a young woman with glasses in campus, half body, masterpiece, high detail, 8k, high detailed skin, 8k uhd, high quality

Prompt
a young man in a park, masterpiece, high detail, 8k, high detailed skin, 8k uhd, high quality

Prompt
a princess in front of a castle, half body masterpiece, high detail, 8k, high detailed skin, 8k uhd, high quality

(CivitAI)

Model description

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。

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('lordjia/stereoscopic-portrait-3d-li-ti-xiao-xiang', weight_name='stereoscopic_parallel_v1.0.safetensors')
image = pipeline('a princess in front of a castle, half body
masterpiece, high detail, 8k, high detailed skin, 8k uhd, high quality
').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers