Today's Image & Video Generation: Fastest-Growing Projects — April 14, 2026
This week, the Image & Video Generation space on GitHub saw significant growth, with several repositories gaining traction for their innovative approaches to video production, image editing, and generative models. Notably, tools that enable local AI processing and provide a range of features in a single container are attracting attention from developers. The top-growing repository, calesthio/OpenMontage, boasts an impressive Growth Score of 93.53 and 1,607 stars.
calesthio/OpenMontage is the world's first open-source, agentic video production system, offering 11 pipelines, 49 tools, and over 400 agent skills to turn AI coding assistants into full-fledged video production studios. Its growth can be attributed to its comprehensive feature set and the increasing demand for automated video content creation.
jd-opensource/JoyAI-Image is a unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing, with a Growth Score of 72.68 and 1,594 stars. Its popularity stems from its versatility in handling various image-related tasks and its potential applications in fields like computer vision and graphics.
nv-tlabs/kimodo is an official implementation of the kinematic motion diffusion model for high-quality human(oid) motion generation, boasting a Growth Score of 43.47 and 1,831 stars. Its growth can be attributed to the increasing interest in generative models for motion synthesis and animation.
stirling-image/stirling-image offers 30+ tools and local AI in a single Docker container for tasks like resizing, compressing, removing backgrounds, upscaling, OCR, and more, with a Growth Score of 41.53 and 681 stars. Its popularity stems from its convenience and data privacy features, as users can process images without relying on cloud services.
OpenMOSS/MOSS-VL is the core multimodal model series within the OpenMOSS ecosystem, dedicated to visual understanding, with a Growth Score of 34.67 and 206 stars. Its growth indicates a growing interest in open-source multimodal models for computer vision tasks.
lightningpixel/modly is a desktop app that generates 3D models from images using local AI, running entirely on the user's GPU, with a Growth Score of 30.73 and 851 stars. Its popularity stems from its innovative approach to 3D modeling and the increasing demand for local AI solutions.
ShandaAI/AlayaRenderer is a generative world renderer for games and virtual worlds, boasting a Growth Score of 25.71 and 560 stars. Although it has seen less activity recently, with only 6 commits in the past 30 days, its growth score indicates ongoing interest in AI-native rendering engines.
F-R-L/forge-film is a multi-model DAG-driven parallel AI film generation engine that generates film scenes simultaneously instead of one by one, with a Growth Score of 15.71 and 405 stars. Its growth can be attributed to the increasing demand for efficient film generation tools.
OpenDemon/Pilipili-AutoVideo is a fully automated AI video agent for local deployment, allowing users to generate videos with subtitles automatically, with a Growth Score of 10.19 and 159 stars. Its growth indicates interest in automated video content creation tools that can be deployed locally.
jiangchaokang/awesome-generative-models provides weekly real-time updates on the latest diffusion generation models across various fields, boasting a Growth Score of 10.15 and 99 stars. Although it's not a tool per se, its growth score indicates a growing interest in staying up-to-date with the latest developments in generative models.
Please note that some repositories may have seen less activity or have fewer stars, but their growth scores still indicate ongoing interest and development in these areas.
calesthio/OpenMontage is the world's first open-source, agentic video production system, offering 11 pipelines, 49 tools, and over 400 agent skills to turn AI coding assistants into full-fledged video production studios. Its growth can be attributed to its comprehensive feature set and the increasing demand for automated video content creation.
jd-opensource/JoyAI-Image is a unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing, with a Growth Score of 72.68 and 1,594 stars. Its popularity stems from its versatility in handling various image-related tasks and its potential applications in fields like computer vision and graphics.
nv-tlabs/kimodo is an official implementation of the kinematic motion diffusion model for high-quality human(oid) motion generation, boasting a Growth Score of 43.47 and 1,831 stars. Its growth can be attributed to the increasing interest in generative models for motion synthesis and animation.
stirling-image/stirling-image offers 30+ tools and local AI in a single Docker container for tasks like resizing, compressing, removing backgrounds, upscaling, OCR, and more, with a Growth Score of 41.53 and 681 stars. Its popularity stems from its convenience and data privacy features, as users can process images without relying on cloud services.
OpenMOSS/MOSS-VL is the core multimodal model series within the OpenMOSS ecosystem, dedicated to visual understanding, with a Growth Score of 34.67 and 206 stars. Its growth indicates a growing interest in open-source multimodal models for computer vision tasks.
lightningpixel/modly is a desktop app that generates 3D models from images using local AI, running entirely on the user's GPU, with a Growth Score of 30.73 and 851 stars. Its popularity stems from its innovative approach to 3D modeling and the increasing demand for local AI solutions.
ShandaAI/AlayaRenderer is a generative world renderer for games and virtual worlds, boasting a Growth Score of 25.71 and 560 stars. Although it has seen less activity recently, with only 6 commits in the past 30 days, its growth score indicates ongoing interest in AI-native rendering engines.
F-R-L/forge-film is a multi-model DAG-driven parallel AI film generation engine that generates film scenes simultaneously instead of one by one, with a Growth Score of 15.71 and 405 stars. Its growth can be attributed to the increasing demand for efficient film generation tools.
OpenDemon/Pilipili-AutoVideo is a fully automated AI video agent for local deployment, allowing users to generate videos with subtitles automatically, with a Growth Score of 10.19 and 159 stars. Its growth indicates interest in automated video content creation tools that can be deployed locally.
jiangchaokang/awesome-generative-models provides weekly real-time updates on the latest diffusion generation models across various fields, boasting a Growth Score of 10.15 and 99 stars. Although it's not a tool per se, its growth score indicates a growing interest in staying up-to-date with the latest developments in generative models.
Please note that some repositories may have seen less activity or have fewer stars, but their growth scores still indicate ongoing interest and development in these areas.