CogView4 is the latest generation in the CogView series of vision-language foundation models, developed as a bilingual (Chinese and English) open-source system for high-quality image understanding and generation. Built on top of the GLM framework, it supports multimodal tasks including text-to-image synthesis, image captioning, and visual reasoning. Compared to previous CogView versions, CogView4 introduces architectural upgrades, improved training pipelines, and larger-scale datasets, enabling stronger alignment between textual prompts and generated visual content. It emphasizes bilingual usability, making it well-suited for cross-lingual multimodal applications. The model also supports fine-tuning and downstream customization, extending its applicability to creative content generation, human–computer interaction, and research on vision-language alignment.
Features
- Bilingual (Chinese and English) multimodal vision-language model
- Supports text-to-image generation and image captioning tasks
- Stronger cross-modal alignment through architecture improvements
- Trained on large-scale bilingual datasets for broader coverage
- Customizable via fine-tuning for domain-specific use cases
- Open-source release for reproducibility and research applications
Project Samples
