Today's Image & Video Generation: Fastest-Growing Projects — April 11, 2026
Today's Image & Video Generation, we're seeing a surge in open-source tools that empower creators to produce high-quality visual content without relying on cloud services. Local AI-powered solutions are gaining traction, with several projects boasting significant growth scores and star counts. Meanwhile, advancements in multimodal models and kinematic motion diffusion continue to shape the landscape of video generation.
calesthio/OpenMontage has taken the top spot with a staggering Growth Score of 86.15 and 1,166 stars. This world's first open-source, agentic video production system allows users to turn their AI coding assistant into a full-fledged video production studio, leveraging 11 pipelines, 49 tools, and over 400 agent skills. Its explosive growth can be attributed to the increasing demand for autonomous video creation capabilities.
OpenMOSS/MOSS-VL boasts a Growth Score of 58.83 and 176 stars, with its multimodal model series dedicated to visual understanding making waves in the community. As researchers and developers seek more sophisticated tools for image and video analysis, MOSS-VL's popularity is likely to continue growing.
stirling-image/stirling-image has garnered significant attention with a Growth Score of 50.00 and 652 stars. This Docker container-based solution offers a suite of 30+ tools for image manipulation, including resizing, compression, background removal, and OCR, all without relying on cloud services or telemetry. Its growth can be attributed to the rising demand for local AI-powered image processing.
nv-tlabs/kimodo has secured a Growth Score of 46.48 and an impressive 1,754 stars. As a kinematic motion diffusion model for high-quality human(oid) motion generation, kimodo is attracting attention from researchers and developers in the fields of computer vision and robotics. Its growth can be attributed to the increasing interest in realistic motion synthesis.
jd-opensource/JoyAI-Image boasts a Growth Score of 42.05 and 622 stars, with its unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing making it an attractive solution for developers seeking versatile AI-powered image manipulation capabilities.
lightningpixel/modly has earned a Growth Score of 34.20 and 843 stars, thanks to its innovative approach to generating 3D models from images using local AI that runs entirely on the user's GPU. As creators seek more efficient ways to produce high-quality 3D content, modly is likely to continue growing in popularity.
ShandaAI/AlayaRenderer has secured a Growth Score of 33.39 and 544 stars, with its generative world renderer designed specifically for games and virtual worlds. As the demand for AI-native rendering engines continues to rise, AlayaRenderer's growth can be attributed to its unique value proposition.
F-R-L/forge-film boasts a Growth Score of 17.50 and 375 stars, thanks to its multi-model DAG-driven parallel AI film generation capabilities that enable simultaneous scene generation. As the need for efficient video production increases, forge-film is likely to attract more attention from developers and researchers.
jiangchaokang/awesome-generative-models has earned a Growth Score of 11.89 and 99 stars, thanks to its weekly real-time updates on the latest diffusion generation models across various fields. As researchers seek to stay up-to-date with the latest advancements in generative models, this repository is likely to continue growing.
OpenDemon/Pilipili-AutoVideo has secured a Growth Score of 11.57 and 156 stars, thanks to its fully automated AI video agent that enables local deployment and one-sentence generation of subtitled videos. As creators seek more efficient ways to produce high-quality video content, Pilipili-AutoVideo is likely to attract more attention.
calesthio/OpenMontage has taken the top spot with a staggering Growth Score of 86.15 and 1,166 stars. This world's first open-source, agentic video production system allows users to turn their AI coding assistant into a full-fledged video production studio, leveraging 11 pipelines, 49 tools, and over 400 agent skills. Its explosive growth can be attributed to the increasing demand for autonomous video creation capabilities.
OpenMOSS/MOSS-VL boasts a Growth Score of 58.83 and 176 stars, with its multimodal model series dedicated to visual understanding making waves in the community. As researchers and developers seek more sophisticated tools for image and video analysis, MOSS-VL's popularity is likely to continue growing.
stirling-image/stirling-image has garnered significant attention with a Growth Score of 50.00 and 652 stars. This Docker container-based solution offers a suite of 30+ tools for image manipulation, including resizing, compression, background removal, and OCR, all without relying on cloud services or telemetry. Its growth can be attributed to the rising demand for local AI-powered image processing.
nv-tlabs/kimodo has secured a Growth Score of 46.48 and an impressive 1,754 stars. As a kinematic motion diffusion model for high-quality human(oid) motion generation, kimodo is attracting attention from researchers and developers in the fields of computer vision and robotics. Its growth can be attributed to the increasing interest in realistic motion synthesis.
jd-opensource/JoyAI-Image boasts a Growth Score of 42.05 and 622 stars, with its unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing making it an attractive solution for developers seeking versatile AI-powered image manipulation capabilities.
lightningpixel/modly has earned a Growth Score of 34.20 and 843 stars, thanks to its innovative approach to generating 3D models from images using local AI that runs entirely on the user's GPU. As creators seek more efficient ways to produce high-quality 3D content, modly is likely to continue growing in popularity.
ShandaAI/AlayaRenderer has secured a Growth Score of 33.39 and 544 stars, with its generative world renderer designed specifically for games and virtual worlds. As the demand for AI-native rendering engines continues to rise, AlayaRenderer's growth can be attributed to its unique value proposition.
F-R-L/forge-film boasts a Growth Score of 17.50 and 375 stars, thanks to its multi-model DAG-driven parallel AI film generation capabilities that enable simultaneous scene generation. As the need for efficient video production increases, forge-film is likely to attract more attention from developers and researchers.
jiangchaokang/awesome-generative-models has earned a Growth Score of 11.89 and 99 stars, thanks to its weekly real-time updates on the latest diffusion generation models across various fields. As researchers seek to stay up-to-date with the latest advancements in generative models, this repository is likely to continue growing.
OpenDemon/Pilipili-AutoVideo has secured a Growth Score of 11.57 and 156 stars, thanks to its fully automated AI video agent that enables local deployment and one-sentence generation of subtitled videos. As creators seek more efficient ways to produce high-quality video content, Pilipili-AutoVideo is likely to attract more attention.