Today's Image & Video Generation: Fastest-Growing Projects — April 12, 2026
This week, the Image & Video Generation space saw significant growth, driven by advancements in multimodal models and local AI capabilities. The trend is shifting towards more specialized tools that can handle specific tasks, such as video production and image editing. With a focus on efficiency and user-friendly interfaces, these tools are gaining popularity among developers.
Calesthio/OpenMontage takes the top spot with an impressive growth score of 88.61 and 1,311 stars. This open-source, agentic video production system allows users to turn their AI coding assistant into a full-fledged video production studio, boasting 11 pipelines, 49 tools, and over 400 agent skills. Its rapid growth can be attributed to the increasing demand for streamlined video creation workflows.
JD-opensource/JoyAI-Image follows closely with a growth score of 47.79 and 784 stars. This unified multimodal foundation model enables image understanding, text-to-image generation, and instruction-guided image editing. As developers continue to explore its vast capabilities, JoyAI-Image is gaining traction in the community.
Stirling-image/stirling-image secured a growth score of 46.68 and 659 stars with its Docker container-based solution for image processing. By offering 30+ tools and local AI capabilities, users can resize, compress, remove backgrounds, upscale, OCR, and more without relying on cloud services or telemetry. This emphasis on data security and offline functionality is driving adoption.
Nv-tlabs/kimodo boasts an impressive 1,760 stars and a growth score of 44.93, thanks to its innovative kinematic motion diffusion model for high-quality human(oid) motion generation. As the field of computer-generated imagery (CGI) continues to evolve, kimodo is becoming a go-to solution for developers seeking realistic motion simulations.
OpenMOSS/MOSS-VL comes in with a growth score of 44.38 and 178 stars, focusing on visual understanding within the OpenMOSS ecosystem. As multimodal models become increasingly important, MOSS-VL's specialized approach to image analysis is gaining attention from researchers and developers alike.
Lightningpixel/modly generated significant interest with its desktop app for creating 3D models from images using local AI. With a growth score of 32.94 and 846 stars, modly's ability to run entirely on the user's GPU is making it an attractive choice for those seeking efficient and secure 3D modeling solutions.
ShandaAI/AlayaRenderer secured a growth score of 30.25 and 548 stars with its AI-native renderer for games and virtual worlds. By offering a unique approach to rendering, AlayaRenderer is gaining traction among game developers looking to create immersive experiences.
F-R-L/forge-film's parallel AI film generation capabilities earned it a growth score of 16.71 and 380 stars. This multi-model DAG-driven engine allows for simultaneous scene generation, making it an attractive choice for filmmakers seeking to streamline their production workflows.
Jiangchaokang/awesome-generative-models provides weekly updates on the latest diffusion generation models across various fields, resulting in a growth score of 11.10 and 99 stars. This repository serves as a valuable resource for developers looking to stay up-to-date with the rapidly evolving landscape of generative models.
Lastly, OpenDemon/Pilipili-AutoVideo secured a growth score of 11.09 and 158 stars with its fully automated AI video agent. By enabling local deployment and one-sentence video generation with subtitles, Pilipili-AutoVideo is making waves in the world of automated video production.
Calesthio/OpenMontage takes the top spot with an impressive growth score of 88.61 and 1,311 stars. This open-source, agentic video production system allows users to turn their AI coding assistant into a full-fledged video production studio, boasting 11 pipelines, 49 tools, and over 400 agent skills. Its rapid growth can be attributed to the increasing demand for streamlined video creation workflows.
JD-opensource/JoyAI-Image follows closely with a growth score of 47.79 and 784 stars. This unified multimodal foundation model enables image understanding, text-to-image generation, and instruction-guided image editing. As developers continue to explore its vast capabilities, JoyAI-Image is gaining traction in the community.
Stirling-image/stirling-image secured a growth score of 46.68 and 659 stars with its Docker container-based solution for image processing. By offering 30+ tools and local AI capabilities, users can resize, compress, remove backgrounds, upscale, OCR, and more without relying on cloud services or telemetry. This emphasis on data security and offline functionality is driving adoption.
Nv-tlabs/kimodo boasts an impressive 1,760 stars and a growth score of 44.93, thanks to its innovative kinematic motion diffusion model for high-quality human(oid) motion generation. As the field of computer-generated imagery (CGI) continues to evolve, kimodo is becoming a go-to solution for developers seeking realistic motion simulations.
OpenMOSS/MOSS-VL comes in with a growth score of 44.38 and 178 stars, focusing on visual understanding within the OpenMOSS ecosystem. As multimodal models become increasingly important, MOSS-VL's specialized approach to image analysis is gaining attention from researchers and developers alike.
Lightningpixel/modly generated significant interest with its desktop app for creating 3D models from images using local AI. With a growth score of 32.94 and 846 stars, modly's ability to run entirely on the user's GPU is making it an attractive choice for those seeking efficient and secure 3D modeling solutions.
ShandaAI/AlayaRenderer secured a growth score of 30.25 and 548 stars with its AI-native renderer for games and virtual worlds. By offering a unique approach to rendering, AlayaRenderer is gaining traction among game developers looking to create immersive experiences.
F-R-L/forge-film's parallel AI film generation capabilities earned it a growth score of 16.71 and 380 stars. This multi-model DAG-driven engine allows for simultaneous scene generation, making it an attractive choice for filmmakers seeking to streamline their production workflows.
Jiangchaokang/awesome-generative-models provides weekly updates on the latest diffusion generation models across various fields, resulting in a growth score of 11.10 and 99 stars. This repository serves as a valuable resource for developers looking to stay up-to-date with the rapidly evolving landscape of generative models.
Lastly, OpenDemon/Pilipili-AutoVideo secured a growth score of 11.09 and 158 stars with its fully automated AI video agent. By enabling local deployment and one-sentence video generation with subtitles, Pilipili-AutoVideo is making waves in the world of automated video production.