Skywork UniPic - An Open Source Multimodal Unified Pre-Training Model from KunlunWei

What is Skywork UniPic?

Skywork UniPic is an open source multimodal pre-training model from KunlunWanwei, with three core capabilities: image understanding, text to image generation and image editing. The model is based on autoregressive architecture, integrating MAR encoder and SigLIP2 backbone to achieve high performance with 1.5B parameter scale, which is close to the effect of large model. Based on progressive multi-task training, the model performs well in comprehension, generation, and editing tasks, and runs smoothly on consumer graphics cards.Skywork UniPic is suitable for creative design, education, game development, cultural heritage preservation, and other fields, and provides developers with efficient and practical multi-modal solutions.

Key Features of Skywork UniPic

• graphic understanding: Accurately understand image content based on text description, complete tasks such as graphic matching and image quiz, and deeply parse image semantic information.
• Text to Image: Quickly generate high-quality, description-compliant images based on text prompts entered by the user to meet creative design needs.
• image editing: Users are provided with reference images and editing instructions, and the model modifies the image according to the instructions, such as replacing elements, adjusting the style, etc. It supports complex editing operations.

Skywork UniPic's official website address

• GitHub repository:: https://github.com/SkyworkAI/UniPic
• HuggingFace Model Library:: https://huggingface.co/Skywork/Skywork-UniPic-1.5B
• Technical Papers:: https://github.com/SkyworkAI/UniPic/blob/main/UNIPIC.pdf

How to use Skywork UniPic

• Getting Model Resources::
  • GitHub Repositories: Visit Skywork UniPic's GitHub repository. Here you will find the model code, training scripts, inference code, and related documentation.
  • Hugging Face Model Library: Download pre-trained model weights from Hugging Face for direct loading and use.
• Installation of dependencies: Before starting, make sure that the necessary dependency libraries are installed in your environment.
  • Python: Python 3.8 or later is recommended.
  • PyTorch: Ensure CUDA support by selecting the appropriate version for your hardware configuration.
  • Other dependencies: Run the following command to install other dependencies required by the model:

pip install -r requirements.txt

• Loading Models::
  • Loading from Hugging Face: Download the model from Hugging Face and use it directly with the transformers Library loading model:

from transformers import AutoModelForVision2Seq, AutoProcessor

# 加载模型和处理器
model = AutoModelForVision2Seq.from_pretrained("Skywork/Skywork-UniPic-1.5B")
processor = AutoProcessor.from_pretrained("Skywork/Skywork-UniPic-1.5B")

• • Load from local: If model weights and configuration files have been downloaded, they can be loaded locally:

from transformers import AutoModelForVision2Seq, AutoProcessor

# 加载本地模型和处理器
model = AutoModelForVision2Seq.from_pretrained("./path/to/model")
processor = AutoProcessor.from_pretrained("./path/to/processor")

• Reasoning with models:Reasoning with models based on task requirements.

Core Benefits of Skywork UniPic

• High performance and lightweight architecture: The model achieves high performance with 1.5B parameter scale, approximating the effect of large models, and is based on a lightweight architecture that ensures smooth operation on consumer-grade graphics cards, lowering the hardware threshold.
• Multi-modal fusion capability: Fusing the three core capabilities of image understanding, text-generated image and image editing, it can accurately process multimodal data and meet a variety of complex application requirements.
• Progressive multitasking: Based on a progressive multi-task training strategy, focusing on a single task first and then gradually introducing other tasks after convergence to avoid early multi-task interference and ensure top performance on different tasks.
• Wide range of application scenarios: It is applicable to many fields such as creative design, education, game development, cultural heritage protection, smart home, etc., providing efficient and practical multimodal solutions for different industries.
• Open Source and Community SupportThe program provides complete open source code, training scripts, inference code, and detailed documentation, and supports GitHub repositories and Hugging Face model libraries, making it easy for developers to learn and use the program.
• Efficient Reasoning: The optimized architecture runs efficiently on common consumer graphics cards, ensuring fast response times for real-time application scenarios and lower cost of ownership.
• Flexibility and Scalability: Supports developers in fine-tuning and extending it to suit their needs, adapting it to specific application scenarios or tasks, with a high degree of flexibility.

Who is Skywork UniPic for?

• Artificial Intelligence Developers: AI developers develop innovative applications, such as image generation and editing tools or intelligent image understanding systems, to improve development efficiency and application performance.
• Creative DesignerSkywork UniPic is a powerful tool for creative designers (e.g. advertising designers, game developers) to quickly generate creative images and design materials, speeding up the design process, improving work efficiency and inspiring more creative ideas.
• educator: Educators (including teachers and online education platform developers) generate intuitive images or animations based on teaching content to help students better understand complex knowledge points, and enhance the fun and interactivity of learning.
• Protectors of cultural heritage: Cultural heritage preservationists (e.g. museum staff and conservation specialists) restore images of artifacts or revive ancient scenes to help viewers understand history more visually and enhance the effect of cultural transmission.
• Businesses and Entrepreneurs: Enterprises and entrepreneurs integrate Skywork UniPic into their business processes to develop innovative multimodal applications, find new business opportunities and enhance the competitiveness of their products and services, such as intelligent image editing tools or idea generation platforms.