Today's Image & Video Generation: Fastest-Growing Projects — April 16, 2026
This week, the Image & Video Generation space saw significant growth in tools that leverage AI to revolutionize video production and image understanding. Open-source projects that provide end-to-end solutions for video creation and editing are gaining traction, while multimodal foundation models for image understanding continue to attract attention. As AI technology advances, we can expect to see more innovative applications of these tools.
calesthio/OpenMontage (Growth Score: 94.61, Stars: 1,867) is the world's first open-source, agentic video production system that allows users to turn their AI coding assistant into a full video production studio with 11 pipelines, 49 tools, and over 400 agent skills. Its rapid growth can be attributed to its comprehensive solution for video creation, making it an attractive option for developers and creators.
jd-opensource/JoyAI-Image (Growth Score: 71.50, Stars: 1,766) is a unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing. Its high growth score indicates the increasing demand for robust models that can handle multiple tasks in the image domain.
baidu/ERNIE-Image (Growth Score: 70.75, Stars: 154) is an open text-to-image generation model developed by Baidu, built on a single-stream Diffusion Transformer with only 8B parameters. Despite having relatively fewer stars compared to other tools on this list, its growth score suggests that it's gaining popularity among developers interested in efficient and high-performance image generation models.
ashim-hq/ashim (Growth Score: 38.47, Stars: 731) is a Docker container with over 30 tools for image processing, including resizing, compressing, removing backgrounds, upscaling, OCR, and more, all without relying on cloud services or telemetry. Its growth can be attributed to the increasing demand for local AI solutions that prioritize data privacy.
OpenMOSS/MOSS-VL (Growth Score: 28.12, Stars: 216) is a core multimodal model series within the OpenMOSS ecosystem dedicated to visual understanding. Although its growth score is relatively lower compared to other tools on this list, it remains an important contribution to the field of image and video generation.
ShandaAI/AlayaRenderer (Growth Score: 22.39, Stars: 570) is a Generative World Renderer designed for games and virtual worlds, providing an AI-native rendering engine that can efficiently generate high-quality visuals. Its growth suggests increasing interest in AI-powered rendering solutions for gaming and virtual reality applications.
F-R-L/forge-film (Growth Score: 14.98, Stars: 434) is a multi-model DAG-driven parallel AI film generation tool that allows users to generate film scenes simultaneously instead of one by one. Although its growth score is relatively lower compared to other tools on this list, it remains an innovative solution for filmmakers and content creators.
jiangchaokang/awesome-generative-models (Growth Score: 9.39, Stars: 99) provides weekly real-time updates on the latest diffusion generation models across various fields, serving as a valuable resource for researchers and developers interested in staying up-to-date with the latest advancements in generative models.
OpenDemon/Pilipili-AutoVideo (Growth Score: 9.38, Stars: 158) is a fully automated AI video agent that allows users to generate videos with subtitles from a single sentence description, all within a local deployment setup. Its growth suggests increasing interest in automatic video generation tools for content creation and marketing applications.
cvlab-kaist/GLD (Growth Score: 4.02, Stars: 180) is the official implementation of "Repurposing Geometric Foundation Models for Multi-view Diffusion," although its relatively low growth score and lack of meaningful description make it less notable compared to other tools on this list.
calesthio/OpenMontage (Growth Score: 94.61, Stars: 1,867) is the world's first open-source, agentic video production system that allows users to turn their AI coding assistant into a full video production studio with 11 pipelines, 49 tools, and over 400 agent skills. Its rapid growth can be attributed to its comprehensive solution for video creation, making it an attractive option for developers and creators.
jd-opensource/JoyAI-Image (Growth Score: 71.50, Stars: 1,766) is a unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing. Its high growth score indicates the increasing demand for robust models that can handle multiple tasks in the image domain.
baidu/ERNIE-Image (Growth Score: 70.75, Stars: 154) is an open text-to-image generation model developed by Baidu, built on a single-stream Diffusion Transformer with only 8B parameters. Despite having relatively fewer stars compared to other tools on this list, its growth score suggests that it's gaining popularity among developers interested in efficient and high-performance image generation models.
ashim-hq/ashim (Growth Score: 38.47, Stars: 731) is a Docker container with over 30 tools for image processing, including resizing, compressing, removing backgrounds, upscaling, OCR, and more, all without relying on cloud services or telemetry. Its growth can be attributed to the increasing demand for local AI solutions that prioritize data privacy.
OpenMOSS/MOSS-VL (Growth Score: 28.12, Stars: 216) is a core multimodal model series within the OpenMOSS ecosystem dedicated to visual understanding. Although its growth score is relatively lower compared to other tools on this list, it remains an important contribution to the field of image and video generation.
ShandaAI/AlayaRenderer (Growth Score: 22.39, Stars: 570) is a Generative World Renderer designed for games and virtual worlds, providing an AI-native rendering engine that can efficiently generate high-quality visuals. Its growth suggests increasing interest in AI-powered rendering solutions for gaming and virtual reality applications.
F-R-L/forge-film (Growth Score: 14.98, Stars: 434) is a multi-model DAG-driven parallel AI film generation tool that allows users to generate film scenes simultaneously instead of one by one. Although its growth score is relatively lower compared to other tools on this list, it remains an innovative solution for filmmakers and content creators.
jiangchaokang/awesome-generative-models (Growth Score: 9.39, Stars: 99) provides weekly real-time updates on the latest diffusion generation models across various fields, serving as a valuable resource for researchers and developers interested in staying up-to-date with the latest advancements in generative models.
OpenDemon/Pilipili-AutoVideo (Growth Score: 9.38, Stars: 158) is a fully automated AI video agent that allows users to generate videos with subtitles from a single sentence description, all within a local deployment setup. Its growth suggests increasing interest in automatic video generation tools for content creation and marketing applications.
cvlab-kaist/GLD (Growth Score: 4.02, Stars: 180) is the official implementation of "Repurposing Geometric Foundation Models for Multi-view Diffusion," although its relatively low growth score and lack of meaningful description make it less notable compared to other tools on this list.