Today's Image & Video Generation: Fastest-Growing Projects — April 19, 2026
The Image & Video Generation space has seen significant growth this week, with a focus on multimodal foundation models and text-to-image generation. Several repositories have gained traction, showcasing the increasing demand for AI-powered image and video creation tools.
jd-opensource/JoyAI-Image takes the top spot with a Growth Score of 66.82 and 1,921 stars. This unified multimodal foundation model enables image understanding, text-to-image generation, and instruction-guided image editing, making it an attractive solution for developers seeking to integrate AI-powered image capabilities into their applications. Its rapid growth can be attributed to its versatility and potential for various use cases.
kangarooking/design-image-studio has gained a Growth Score of 60.00 and 51 stars. This tool allows users to transform vague visual demands into high-quality design graphics, making it an appealing solution for designers and creatives. Its growth is likely driven by the increasing need for efficient design tools that can produce professional-grade results.
baidu/ERNIE-Image boasts a Growth Score of 44.40 and 267 stars. As an open text-to-image generation model developed by Baidu, ERNIE-Image has gained attention for its state-of-the-art performance among open-weight models. Its growth is likely attributed to the increasing demand for reliable text-to-image generation capabilities in various applications.
ashim-hq/ashim has achieved a Growth Score of 35.45 and 814 stars. This Docker container provides over 30 tools and local AI capabilities for image processing, including resizing, compression, background removal, upscaling, OCR, and more. Its growth is likely driven by the increasing need for efficient and secure image processing solutions that do not rely on cloud services.
trsno/Lossless-Scaling-FPS-Upscale-PC has gained a Growth Score of 36.25 and 112 stars. This Windows tool enables lossless upscaling and AI frame generation, making it an attractive solution for gamers seeking to optimize FPS and image quality. Its growth is likely attributed to the increasing demand for high-quality gaming experiences.
OpenMOSS/MOSS-VL boasts a Growth Score of 20.82 and 224 stars. As a multimodal model dedicated to visual understanding within the OpenMOSS ecosystem, MOSS-VL has gained attention from developers seeking to integrate AI-powered computer vision capabilities into their applications. Its growth is likely driven by the increasing demand for reliable and efficient visual understanding solutions.
ShandaAI/AlayaRenderer has achieved a Growth Score of 18.62 and 576 stars. As an AI-native renderer for games and virtual worlds, AlayaRenderer provides a unique solution for developers seeking to integrate high-quality rendering capabilities into their applications. Its growth is likely attributed to the increasing demand for immersive gaming experiences.
F-R-L/forge-film boasts a Growth Score of 14.15 and 481 stars. This multi-model DAG-driven parallel AI film generation engine enables simultaneous scene generation, making it an appealing solution for filmmakers seeking to optimize production workflows. Its growth is likely driven by the increasing need for efficient and scalable film generation solutions.
gulucaptain/Camera-Transformer-1 has gained a Growth Score of 10.89 and 79 stars. This tool allows users to generate videos with precise, spatially-aware camera control, making it an attractive solution for filmmakers seeking to optimize camera movements. Its growth is likely attributed to the increasing demand for high-quality video production tools.
jiangchaokang/awesome-generative-models has achieved a Growth Score of 8.66 and 99 stars. This repository provides weekly updates on the latest diffusion generation models across various fields, making it an appealing resource for developers seeking to stay up-to-date with the latest advancements in generative AI. Its growth is likely driven by the increasing demand for reliable sources of information on generative models.
jd-opensource/JoyAI-Image takes the top spot with a Growth Score of 66.82 and 1,921 stars. This unified multimodal foundation model enables image understanding, text-to-image generation, and instruction-guided image editing, making it an attractive solution for developers seeking to integrate AI-powered image capabilities into their applications. Its rapid growth can be attributed to its versatility and potential for various use cases.
kangarooking/design-image-studio has gained a Growth Score of 60.00 and 51 stars. This tool allows users to transform vague visual demands into high-quality design graphics, making it an appealing solution for designers and creatives. Its growth is likely driven by the increasing need for efficient design tools that can produce professional-grade results.
baidu/ERNIE-Image boasts a Growth Score of 44.40 and 267 stars. As an open text-to-image generation model developed by Baidu, ERNIE-Image has gained attention for its state-of-the-art performance among open-weight models. Its growth is likely attributed to the increasing demand for reliable text-to-image generation capabilities in various applications.
ashim-hq/ashim has achieved a Growth Score of 35.45 and 814 stars. This Docker container provides over 30 tools and local AI capabilities for image processing, including resizing, compression, background removal, upscaling, OCR, and more. Its growth is likely driven by the increasing need for efficient and secure image processing solutions that do not rely on cloud services.
trsno/Lossless-Scaling-FPS-Upscale-PC has gained a Growth Score of 36.25 and 112 stars. This Windows tool enables lossless upscaling and AI frame generation, making it an attractive solution for gamers seeking to optimize FPS and image quality. Its growth is likely attributed to the increasing demand for high-quality gaming experiences.
OpenMOSS/MOSS-VL boasts a Growth Score of 20.82 and 224 stars. As a multimodal model dedicated to visual understanding within the OpenMOSS ecosystem, MOSS-VL has gained attention from developers seeking to integrate AI-powered computer vision capabilities into their applications. Its growth is likely driven by the increasing demand for reliable and efficient visual understanding solutions.
ShandaAI/AlayaRenderer has achieved a Growth Score of 18.62 and 576 stars. As an AI-native renderer for games and virtual worlds, AlayaRenderer provides a unique solution for developers seeking to integrate high-quality rendering capabilities into their applications. Its growth is likely attributed to the increasing demand for immersive gaming experiences.
F-R-L/forge-film boasts a Growth Score of 14.15 and 481 stars. This multi-model DAG-driven parallel AI film generation engine enables simultaneous scene generation, making it an appealing solution for filmmakers seeking to optimize production workflows. Its growth is likely driven by the increasing need for efficient and scalable film generation solutions.
gulucaptain/Camera-Transformer-1 has gained a Growth Score of 10.89 and 79 stars. This tool allows users to generate videos with precise, spatially-aware camera control, making it an attractive solution for filmmakers seeking to optimize camera movements. Its growth is likely attributed to the increasing demand for high-quality video production tools.
jiangchaokang/awesome-generative-models has achieved a Growth Score of 8.66 and 99 stars. This repository provides weekly updates on the latest diffusion generation models across various fields, making it an appealing resource for developers seeking to stay up-to-date with the latest advancements in generative AI. Its growth is likely driven by the increasing demand for reliable sources of information on generative models.