Instructions to use TencentARC/StereoCrafter2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/StereoCrafter2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TencentARC/StereoCrafter2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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license: other
license_name: license
license_link: LICENSE
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<h2>StereoCrafter2: An Update to StereoCrafter</h2>
Yingmin Luo 
Wenbo Hu† 
Ying Shan
† corresponding author
<h3>ARC Lab, Tencent IEG</h3>
<!--<a href='https://arxiv.org/abs/2409.07447'><img src='https://img.shields.io/badge/arXiv-PDF-a92225'></a>  -->
<a href='https://stereocrafter.github.io/'><img src='https://img.shields.io/badge/Project_Page-Page-64fefe' alt='Project Page'></a>  
<a href='https://huggingface.co/TencentARC/StereoCrafter2'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Weights-yellow'></a>
</div>
## Introduction
We propose an update to the StereoCrafter model that ensures the generation of immersive videos with higher fidelity.
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