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show-o2-1.5B

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Sierkinhane commited on Jun 14

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----
-library_name: diffusers
----
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
-<!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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+<div align="center">
+<br>
+[//]: # (<h3>Show-o2: Improved Unified Multimodal Models</h3>)
+[Jinheng Xie](https://sierkinhane.github.io/)<sup>1</sup>&nbsp;
+[Zhenheng Yang](https://scholar.google.com/citations?user=Ds5wwRoAAAAJ&hl=en)<sup>2</sup>&nbsp;
+[Mike Zheng Shou](https://sites.google.com/view/showlab)<sup>1</sup>
+<sup>1</sup> [Show Lab](https://sites.google.com/view/showlab/home?authuser=0), National University of Singapore&nbsp; <sup>2</sup> Bytedance&nbsp;
+[![ArXiv](https://img.shields.io/badge/Report-PDF-<COLOR>.svg)](https://github.com/showlab/Show-o/blob/main/show-o2/Show_o2.pdf) [![WeChat badge](https://img.shields.io/badge/微信-加入-green?logo=wechat&amp)](https://github.com/showlab/Show-o/blob/main/docs/wechat_qa_3.jpg) [![Hits](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Fshowlab%2FShow-o&count_bg=%234DC621&title_bg=%23811AD2&icon=&icon_color=%23E7E7E7&title=hits&edge_flat=false)](https://hits.seeyoufarm.com)
+</div>
+## News
+* **[2025-06-12]** We release the Show-o2 models **with 1.5B and 7B LLM parameters** for multimodal understanding and generation.
+## What is the new about Show-o2?
+We perform the unified learning of multimodal understanding and generation on the text token and **3D Causal VAE space**, which is scalable for **text, image, and video modalities**. A dual-path of spatial (-temporal) fusion is proposed to accommodate the distinct feature dependency  of multimodal understanding and generation. We employ specific heads with **autoregressive modeling and flow matching** for the overall unified learning of **multimodal understanding, image/video and mixed-modality generation.**
+## TODO
+- [X] Release the models for single image-text understanding and generation.
+- [ ] Release the evaluation code.
+- [ ] Release the training code.
+- [ ] Release the models supporting image generation in a higher resolution (512x512 and 1024x1024) with better text rendering and mixed-modality generation.
+- [ ] Release the models supporting image-to-video and text-to-video generation.
+## Pre-trained Model Weigths
+The Show-o2 checkpoints can be found on Hugging Face:
+* [showlab/show-o2-1.5B](https://huggingface.co/showlab/show-o2-1.5B)
+* [showlab/show-o2-7B](https://huggingface.co/showlab/show-o2-7B)
+## Getting Started
+First, set up the environment:
+```
+bash build_env.sh
+```
+Login your wandb account on your machine or server.
+```
+wandb login <your wandb keys>
+```
+Download Wan2.1 3D causal VAE model weight [here](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B/blob/main/Wan2.1_VAE.pth) and put it on the current directory.
+Demo for **Multimodal Understanding** and you can find the results on wandb.
+```
+python3 inference_mmu.py config=configs/showo2_7b_demo_432x432.yaml \
+                         mmu_image_path=./docs/mmu/pexels-jane-pham-727419-1571673.jpg question='Describe the image in detail.'
+python3 inference_mmu.py config=configs/showo2_7b_demo_432x432.yaml \
+                         mmu_image_path=./docs/mmu/pexels-fotios-photos-2923436.jpg question='请告诉我图片中写着什么？'
+python3 inference_mmu.py config=configs/showo2_7b_demo_432x432.yaml \
+                         mmu_image_path=./docs/mmu/pexels-taryn-elliott-4144459.jpg question='How many avocados (including the halved) are in this image? Tell me how to make an avocado milkshake in detail.'
+```
+Demo for **Text-to-Image Generation** and you can find the results on wandb.
+```
+python3 inference_t2i.py config=configs/showo2_1.5b_demo_432x432.yaml \
+                         batch_size=4 guidance_scale=7.5 num_inference_steps=50;
+python3 inference_t2i.py config=configs/showo2_7b_demo_432x432.yaml \
+                         batch_size=4 guidance_scale=7.5 num_inference_steps=50;
+```
+### Citation
+To cite the paper and model, please use the below:
+```
+@article{xie2025showo2,
+  title={Show-o2: Improved Native Unified Multimodal Models},
+  author={Xie, Jinheng and Yang, Zhenheng and Shou, Mike Zheng},
+  journal={arXiv preprint},
+  year={2025}
+}
+```
+### Acknowledgments
+This work is heavily based on [Show-o](https://github.com/showlab/show-o).