Today's Image & Video Generation: Fastest-Growing Projects — April 26, 2026
Today's Image & Video Generation, we're seeing a surge in tools that leverage AI to streamline image manipulation and generation. Text-to-image models are particularly popular, with several repositories showcasing their capabilities. Meanwhile, self-hosted solutions are gaining traction as developers prioritize data privacy.
Lidge-jun's ima2-gen repository has seen significant growth, with a Growth Score of 72.40 and 76 stars. This minimal CLI + web UI for OpenAI GPT Image 2 generation offers dual authentication methods, including API Key (paid) or OAuth via ChatGPT (free), making it an attractive option for developers seeking flexibility. Its rapid growth can be attributed to its ease of use and the demand for text-to-image generation tools.
JD-opensource's JoyAI-Image repository boasts an impressive 1,954 stars and a Growth Score of 49.75. As a unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing, JoyAI-Image is gaining popularity among developers seeking a comprehensive solution. Its growth can be attributed to its versatility and the increasing demand for multimodal AI models.
Snapotter-hq's SnapOtter repository has garnered 893 stars and a Growth Score of 28.38. This self-hosted image manipulator offers 45+ tools, local AI, and pipelines in a single Docker container, ensuring that users' images never leave their machine. Its growth can be attributed to the growing concern for data privacy and the need for secure, on-premise solutions.
Baidu's ERNIE-Image repository has earned 379 stars and a Growth Score of 24.29. As an open text-to-image generation model built on a single-stream Diffusion Transformer (DiT), ERNIE-Image is attracting attention from developers seeking high-performance models. Its growth can be attributed to its state-of-the-art performance and the increasing demand for open-source AI models.
OpenMOSS's MOSS-VL repository has gained 231 stars and a Growth Score of 13.75. As the core multimodal model series within the OpenMOSS ecosystem, dedicated to visual understanding, MOSS-VL is growing in popularity among developers seeking specialized models. Its growth can be attributed to its focus on visual understanding and the increasing demand for domain-specific AI models.
Kangarooking's design-image-studio repository has 89 stars and a Growth Score of 13.06. This tool enables users to convert vague visual demands into high-quality designs, making it an attractive option for developers seeking automated design solutions. Its growth can be attributed to its unique value proposition and the increasing demand for AI-powered design tools.
ShandaAI's AlayaRenderer repository boasts 528 stars and a Growth Score of 12.19. As a generative world renderer for games and virtual worlds, AlayaRenderer is gaining popularity among developers seeking AI-native rendering engines. Its growth can be attributed to its focus on gaming and virtual worlds, as well as the increasing demand for immersive experiences.
Gulucaptain's Camera-Transformer-1 repository has 179 stars and a Growth Score of 11.31. This tool enables users to generate videos with precise, spatially-aware camera control, making it an attractive option for developers seeking advanced video generation capabilities. Its growth can be attributed to its unique value proposition and the increasing demand for AI-powered video editing tools.
Jiangchaokang's awesome-generative-models repository has 100 stars and a Growth Score of 7.31. This collection of weekly real-time updates on the latest diffusion generation models across various fields is growing in popularity among developers seeking to stay up-to-date with the latest advancements. Its growth can be attributed to its comprehensive coverage and the increasing demand for AI knowledge sharing.
NVlabs' PixelDiT repository has 268 stars and a Growth Score of 6.24. As a pixel diffusion transformer for image generation, PixelDiT is attracting attention from developers seeking advanced image generation models. Its growth can be attributed to its focus on image generation and the increasing demand for high-performance AI models.
Lidge-jun's ima2-gen repository has seen significant growth, with a Growth Score of 72.40 and 76 stars. This minimal CLI + web UI for OpenAI GPT Image 2 generation offers dual authentication methods, including API Key (paid) or OAuth via ChatGPT (free), making it an attractive option for developers seeking flexibility. Its rapid growth can be attributed to its ease of use and the demand for text-to-image generation tools.
JD-opensource's JoyAI-Image repository boasts an impressive 1,954 stars and a Growth Score of 49.75. As a unified multimodal foundation model for image understanding, text-to-image generation, and instruction-guided image editing, JoyAI-Image is gaining popularity among developers seeking a comprehensive solution. Its growth can be attributed to its versatility and the increasing demand for multimodal AI models.
Snapotter-hq's SnapOtter repository has garnered 893 stars and a Growth Score of 28.38. This self-hosted image manipulator offers 45+ tools, local AI, and pipelines in a single Docker container, ensuring that users' images never leave their machine. Its growth can be attributed to the growing concern for data privacy and the need for secure, on-premise solutions.
Baidu's ERNIE-Image repository has earned 379 stars and a Growth Score of 24.29. As an open text-to-image generation model built on a single-stream Diffusion Transformer (DiT), ERNIE-Image is attracting attention from developers seeking high-performance models. Its growth can be attributed to its state-of-the-art performance and the increasing demand for open-source AI models.
OpenMOSS's MOSS-VL repository has gained 231 stars and a Growth Score of 13.75. As the core multimodal model series within the OpenMOSS ecosystem, dedicated to visual understanding, MOSS-VL is growing in popularity among developers seeking specialized models. Its growth can be attributed to its focus on visual understanding and the increasing demand for domain-specific AI models.
Kangarooking's design-image-studio repository has 89 stars and a Growth Score of 13.06. This tool enables users to convert vague visual demands into high-quality designs, making it an attractive option for developers seeking automated design solutions. Its growth can be attributed to its unique value proposition and the increasing demand for AI-powered design tools.
ShandaAI's AlayaRenderer repository boasts 528 stars and a Growth Score of 12.19. As a generative world renderer for games and virtual worlds, AlayaRenderer is gaining popularity among developers seeking AI-native rendering engines. Its growth can be attributed to its focus on gaming and virtual worlds, as well as the increasing demand for immersive experiences.
Gulucaptain's Camera-Transformer-1 repository has 179 stars and a Growth Score of 11.31. This tool enables users to generate videos with precise, spatially-aware camera control, making it an attractive option for developers seeking advanced video generation capabilities. Its growth can be attributed to its unique value proposition and the increasing demand for AI-powered video editing tools.
Jiangchaokang's awesome-generative-models repository has 100 stars and a Growth Score of 7.31. This collection of weekly real-time updates on the latest diffusion generation models across various fields is growing in popularity among developers seeking to stay up-to-date with the latest advancements. Its growth can be attributed to its comprehensive coverage and the increasing demand for AI knowledge sharing.
NVlabs' PixelDiT repository has 268 stars and a Growth Score of 6.24. As a pixel diffusion transformer for image generation, PixelDiT is attracting attention from developers seeking advanced image generation models. Its growth can be attributed to its focus on image generation and the increasing demand for high-performance AI models.