Today's Image & Video Generation: Fastest-Growing Projects — April 22, 2026
Today's Image & Video Generation space saw a surge in interest around multimodal foundation models, text-to-image generation, and AI-native rendering engines. The trend is clear: developers are seeking more powerful tools to generate high-quality images and videos with precision and control. With growth scores soaring, these repositories are making waves in the GitHub community.
jd-opensource/JoyAI-Image, boasting a remarkable Growth Score of 58.36 and 1,938 stars, is the unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing. Its massive growth can be attributed to its versatility and robust capabilities, making it an attractive choice for developers seeking a comprehensive solution.
baidu/ERNIE-Image has seen significant traction with a Growth Score of 32.31 and 322 stars, thanks to its impressive text-to-image generation performance using only 8B DiT parameters. This open-source model's efficiency and state-of-the-art results have captured the attention of researchers and developers alike.
ashim-hq/ashim has gained popularity with a Growth Score of 31.88 and 852 stars, offering an all-in-one Docker container with over 30 tools for image processing, including resizing, compression, and OCR capabilities. Its convenience and offline functionality make it an appealing choice for those seeking to keep their images private.
kangarooking/design-image-studio has garnered interest with a Growth Score of 23.38 and 79 stars, despite having only 5 commits in the past month. This tool transforms vague visual demands into high-quality design graphics, showcasing its potential to simplify the design process.
OpenMOSS/MOSS-VL boasts a respectable Growth Score of 16.46 and 227 stars, thanks to its focus on visual understanding within the OpenMOSS ecosystem. With regular updates (37 commits in 30 days), this repository is consistently improving its multimodal capabilities.
ShandaAI/AlayaRenderer has gained traction with a Growth Score of 15.68 and 570 stars, offering an AI-native rendering engine for games and virtual worlds. This innovative solution's ability to generate high-quality visuals efficiently makes it an attractive choice for the gaming industry.
F-R-L/forge-film has seen moderate growth with a Growth Score of 13.29 and 516 stars, thanks to its parallel AI film generation capabilities. By generating scenes simultaneously instead of one by one, this tool has captured the attention of filmmakers and developers seeking efficient solutions.
YouMind-OpenLab/awesome-gpt-image-2 offers an impressive prompt library for OpenAI's next-gen image model, with a Growth Score of 11.92 and 47 stars. Its curated collection of prompts in 16 languages makes it a valuable resource for those exploring the capabilities of this advanced image model.
gulucaptain/Camera-Transformer-1 has garnered interest with a Growth Score of 10.79 and 109 stars, thanks to its ability to understand intent and generate videos with precise camera control. This innovative tool's potential applications in filmmaking and video production have sparked significant interest.
jiangchaokang/awesome-generative-models provides weekly updates on the latest diffusion generation models across various fields, boasting a Growth Score of 7.88 and 100 stars. Its comprehensive collection of resources makes it an essential bookmark for developers seeking to stay up-to-date with the rapidly evolving field of generative models.
While kangarooking/design-image-studio's growth may be slower compared to others on this list, its unique capabilities make it a tool worth watching in the future.
jd-opensource/JoyAI-Image, boasting a remarkable Growth Score of 58.36 and 1,938 stars, is the unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing. Its massive growth can be attributed to its versatility and robust capabilities, making it an attractive choice for developers seeking a comprehensive solution.
baidu/ERNIE-Image has seen significant traction with a Growth Score of 32.31 and 322 stars, thanks to its impressive text-to-image generation performance using only 8B DiT parameters. This open-source model's efficiency and state-of-the-art results have captured the attention of researchers and developers alike.
ashim-hq/ashim has gained popularity with a Growth Score of 31.88 and 852 stars, offering an all-in-one Docker container with over 30 tools for image processing, including resizing, compression, and OCR capabilities. Its convenience and offline functionality make it an appealing choice for those seeking to keep their images private.
kangarooking/design-image-studio has garnered interest with a Growth Score of 23.38 and 79 stars, despite having only 5 commits in the past month. This tool transforms vague visual demands into high-quality design graphics, showcasing its potential to simplify the design process.
OpenMOSS/MOSS-VL boasts a respectable Growth Score of 16.46 and 227 stars, thanks to its focus on visual understanding within the OpenMOSS ecosystem. With regular updates (37 commits in 30 days), this repository is consistently improving its multimodal capabilities.
ShandaAI/AlayaRenderer has gained traction with a Growth Score of 15.68 and 570 stars, offering an AI-native rendering engine for games and virtual worlds. This innovative solution's ability to generate high-quality visuals efficiently makes it an attractive choice for the gaming industry.
F-R-L/forge-film has seen moderate growth with a Growth Score of 13.29 and 516 stars, thanks to its parallel AI film generation capabilities. By generating scenes simultaneously instead of one by one, this tool has captured the attention of filmmakers and developers seeking efficient solutions.
YouMind-OpenLab/awesome-gpt-image-2 offers an impressive prompt library for OpenAI's next-gen image model, with a Growth Score of 11.92 and 47 stars. Its curated collection of prompts in 16 languages makes it a valuable resource for those exploring the capabilities of this advanced image model.
gulucaptain/Camera-Transformer-1 has garnered interest with a Growth Score of 10.79 and 109 stars, thanks to its ability to understand intent and generate videos with precise camera control. This innovative tool's potential applications in filmmaking and video production have sparked significant interest.
jiangchaokang/awesome-generative-models provides weekly updates on the latest diffusion generation models across various fields, boasting a Growth Score of 7.88 and 100 stars. Its comprehensive collection of resources makes it an essential bookmark for developers seeking to stay up-to-date with the rapidly evolving field of generative models.
While kangarooking/design-image-studio's growth may be slower compared to others on this list, its unique capabilities make it a tool worth watching in the future.