--- 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: 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 ([CivitAI](https://civitai.com/models/152741)) ## 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:

Note:


这是一个实验性项目,用来生成 立体视觉肖像(Stereoscopic Portrait),支持 Parallel-viewCross-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。)

注意:

## Download model Weights for this model are available in Safetensors format. [Download](/lordjia/stereoscopic-portrait-3d-li-ti-xiao-xiang/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)