Today's Image & Video Generation: Fastest-Growing Projects — April 18, 2026
Today's the Image & Video Generation space, we're seeing a surge in interest around multimodal foundation models and AI-native rendering engines. The top-growing tools are showcasing impressive capabilities in text-to-image generation, image understanding, and video production. With advancements in diffusion transformers and parallel processing, these tools are pushing the boundaries of what's possible in visual content creation.
jd-opensource/JoyAI-Image takes the top spot with a growth score of 69.89 and 1,904 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 a versatile tool. Its rapid growth can be attributed to its comprehensive capabilities and the increasing demand for robust image generation models.
baidu/ERNIE-Image follows closely with a growth score of 50.62 and 246 stars. This open text-to-image generation model boasts state-of-the-art performance among open-weight models, thanks to its single-stream Diffusion Transformer (DiT) architecture. As researchers and developers seek high-performance solutions for image generation tasks, ERNIE-Image's popularity is on the rise.
ashim-hq/ashim has garnered significant attention with a growth score of 35.17 and 747 stars. This Docker container offers a suite of tools for image processing, including resizing, compressing, removing backgrounds, upscaling, OCR, and more – all without relying on cloud services or telemetry. The appeal lies in its self-contained nature, allowing users to maintain control over their images and sensitive data.
OpenMOSS/MOSS-VL has seen notable growth with a score of 22.80 and 222 stars. As the core multimodal model series within the OpenMOSS ecosystem, MOSS-VL is dedicated to visual understanding. Its increasing popularity can be attributed to its specialized focus on visual tasks and the growing demand for robust multimodal models.
ShandaAI/AlayaRenderer boasts an impressive growth score of 19.69 and 573 stars. This AI-native Renderer is designed specifically for games and virtual worlds, offering a unique solution for developers seeking high-performance rendering capabilities. As the gaming industry continues to push boundaries in visual fidelity, AlayaRenderer's innovative approach is gaining traction.
F-R-L/forge-film has made significant strides with a growth score of 14.18 and 454 stars. This multi-model DAG-driven parallel AI film generation engine enables simultaneous scene generation, reducing production time and increasing efficiency. The appeal lies in its ability to speed up the film generation process while maintaining quality.
gulucaptain/Camera-Transformer-1 has garnered attention with a growth score of 10.75 and 58 stars. This tool understands user intent and generates videos with precise camera control, offering a unique solution for developers seeking spatially-aware video creation capabilities.
jiangchaokang/awesome-generative-models offers weekly updates on the latest diffusion generation models, earning it a growth score of 8.79 and 99 stars. This repository serves as a valuable resource for researchers and developers seeking to stay up-to-date with advancements in generative modeling.
OpenDemon/Pilipili-AutoVideo boasts a growth score of 8.73 and 159 stars. This fully automated AI video agent enables one-sentence video generation, complete with subtitles. Its increasing popularity can be attributed to its ease of use and the growing demand for efficient video production solutions.
Lastly, calesthio/OpenMontage has seen significant activity with a growth score of 3.22 and an impressive 2,552 stars. This open-source video production system offers 11 pipelines, 49 tools, and over 400 agent skills. While its growth score may be lower compared to others on this list, its popularity can be attributed to its comprehensive feature set and the growing interest in AI-assisted video production.
jd-opensource/JoyAI-Image takes the top spot with a growth score of 69.89 and 1,904 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 a versatile tool. Its rapid growth can be attributed to its comprehensive capabilities and the increasing demand for robust image generation models.
baidu/ERNIE-Image follows closely with a growth score of 50.62 and 246 stars. This open text-to-image generation model boasts state-of-the-art performance among open-weight models, thanks to its single-stream Diffusion Transformer (DiT) architecture. As researchers and developers seek high-performance solutions for image generation tasks, ERNIE-Image's popularity is on the rise.
ashim-hq/ashim has garnered significant attention with a growth score of 35.17 and 747 stars. This Docker container offers a suite of tools for image processing, including resizing, compressing, removing backgrounds, upscaling, OCR, and more – all without relying on cloud services or telemetry. The appeal lies in its self-contained nature, allowing users to maintain control over their images and sensitive data.
OpenMOSS/MOSS-VL has seen notable growth with a score of 22.80 and 222 stars. As the core multimodal model series within the OpenMOSS ecosystem, MOSS-VL is dedicated to visual understanding. Its increasing popularity can be attributed to its specialized focus on visual tasks and the growing demand for robust multimodal models.
ShandaAI/AlayaRenderer boasts an impressive growth score of 19.69 and 573 stars. This AI-native Renderer is designed specifically for games and virtual worlds, offering a unique solution for developers seeking high-performance rendering capabilities. As the gaming industry continues to push boundaries in visual fidelity, AlayaRenderer's innovative approach is gaining traction.
F-R-L/forge-film has made significant strides with a growth score of 14.18 and 454 stars. This multi-model DAG-driven parallel AI film generation engine enables simultaneous scene generation, reducing production time and increasing efficiency. The appeal lies in its ability to speed up the film generation process while maintaining quality.
gulucaptain/Camera-Transformer-1 has garnered attention with a growth score of 10.75 and 58 stars. This tool understands user intent and generates videos with precise camera control, offering a unique solution for developers seeking spatially-aware video creation capabilities.
jiangchaokang/awesome-generative-models offers weekly updates on the latest diffusion generation models, earning it a growth score of 8.79 and 99 stars. This repository serves as a valuable resource for researchers and developers seeking to stay up-to-date with advancements in generative modeling.
OpenDemon/Pilipili-AutoVideo boasts a growth score of 8.73 and 159 stars. This fully automated AI video agent enables one-sentence video generation, complete with subtitles. Its increasing popularity can be attributed to its ease of use and the growing demand for efficient video production solutions.
Lastly, calesthio/OpenMontage has seen significant activity with a growth score of 3.22 and an impressive 2,552 stars. This open-source video production system offers 11 pipelines, 49 tools, and over 400 agent skills. While its growth score may be lower compared to others on this list, its popularity can be attributed to its comprehensive feature set and the growing interest in AI-assisted video production.