# zai-org/CogView4

CogView4, CogView3-Plus and CogView3(ECCV 2024)

Repository: https://github.com/zai-org/CogView4
Canonical: https://ross.abutalabs.com/products/cogview4
Language: Python
License: Apache-2.0
License Family: permissive
Topics: eccv2024, high-resolution, image-generation, text-to-image
Last push: 2025-03-29T07:09:58+00:00

## Health v2 (maintenance only)
Score: 28/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 13, release rhythm 35, longevity 50
- inputs: {"age_days": 709, "days_push": 522, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1101, forks 81 (observed 2026-08-28T04:03:35.666285+00:00)

## What it is
CogView4, CogView3-Plus and CogView3 are open-source text-to-image generation models from Zhipu AI, with CogView4 being a 6B-parameter DiT-based model supporting native Chinese input and high-resolution generation. The repository provides model code, diffusers integration, and inference examples.

## Use cases
- generate images from text prompts
- text-to-image generation with Chinese text support
- render Chinese characters in generated images
- high-resolution image synthesis up to 2048px
- run text-to-image models with diffusers
- fine-tune a text-to-image diffusion model

## When to choose
- you need open-weight text-to-image generation with strong Chinese language and text rendering support
- you want flexible high-resolution image generation integrated with Hugging Face diffusers
- you need an Apache-2.0 licensed image generation model for research or products

## When to avoid
- you need a lightweight model that runs without a GPU or large VRAM
- you only need English-language image generation with the broadest ecosystem support
- you need mature ControlNet or fine-grained control features that are still on the project roadmap

## Facets
- artifact type: library
- maturity: active
- function: image-processing, machine-learning, deep-learning, llm-inference
- domain: artificial-intelligence, image-processing, deep-learning, machine-learning
- platform: python, cross-platform
- tags: text-to-image, diffusion-transformer, diffusers, chinese-text, high-resolution, image-generation, model-weights, gpu, linux

## Member repositories
- zai-org/CogView4 (main) score 28

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:35.666285+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:45:45.313011+00:00, confidence not recorded.
  - readme: https://github.com/zai-org/CogView4 (fetched 2026-08-28T04:03:35.666285+00:00, sha cbf900dccbfb)
- Data as of 2026-08-30T08:39:29.467469+00:00.