zai-org/CogView

Health v2 · maintenance only

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Adoption not part of the score

1799 stars · 175 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

CogView is a 4-billion-parameter pretrained transformer model for text-to-image image generation, released alongside a NeurIPS 2021 paper. It provides PyTorch code for inference and training, with a focus on Chinese text input (English supported via translation).

Use cases

• generate images from Chinese text descriptions
• run a pretrained text-to-image transformer model
• train large deep transformers stably without NaN losses
• experiment with text-to-image generation research
• set up text-to-image generation on Google Colab

When to choose

• you need a pretrained transformer-based text-to-image model, especially for Chinese prompts
• you want to reproduce or build on the CogView NeurIPS 2021 research
• you need techniques like PB-relax or Sandwich-LN for stable training of large transformers

When to avoid

• you need state-of-the-art image quality - newer models like CogView2 or modern diffusion models perform better
• you need English-first text-to-image generation without translation
• you lack access to V100/A100 GPUs or similar hardware
• you want an actively developed production tool rather than a research artifact

Facets

library · maturity maintenance

machine-learning deep-learning llm-training artificial-intelligence image-processing deep-learning python text-to-image transformers pretrained-models image-generation pytorch research natural-language-processing linux gpu

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markdown · JSON · MCP: product_card(name="zai-org/CogView")