Today's Image & Video Generation: Fastest-Growing Projects — June 19, 2026
Today's the Image & Video Generation space on GitHub, we see a diverse set of projects gaining traction, ranging from AI-driven image generation workbenches to specialized background removal utilities and video synthesis tools. One standout project is `ilab-gpt-conjure`, which has seen significant growth due to its comprehensive feature set for generating images based on GPT-image-2.
`kadevin/ilab-gpt-conjure` is an AI image generation WebUI workbench that supports Codex Responses and OpenAI-compatible API, providing a rich set of functionalities such as shared galleries, multi-type quick chips, prompt templates, concurrent tasks management, and local queue handling. With its high growth score and over 500 stars, it appears to be growing rapidly due to its extensive feature set and ease-of-use for developers and artists looking to integrate AI image generation into their workflows.
`techjarves/Local-AI-Image-Generator`, with a notable growth score of 21.03, is designed as an offline AI image generation studio tailored specifically for Windows users. It runs Stable Diffusion locally without the need for manual setup and supports both CUDA for Nvidia GPUs and Vulkan for AMD and Intel Arc cards, making it highly accessible to those seeking local AI-driven creativity with minimal overhead.
`Lekien082/AI-Photo-Background-Remover`, an easy-to-use desktop utility powered by AI, automatically removes backgrounds from photos offline and in high resolution. Despite its smaller growth score of 11.62, it has garnered attention for its simplicity and efficiency in handling photo editing tasks without the need for internet access.
`nv-tlabs/dvlt` is an implementation focused on multi-view 3D reconstruction using Looping Transformers. This project, with a moderate growth rate of 9.82, offers researchers and developers tools to explore advanced methods in 3D reconstruction from multiple viewpoints, contributing significantly to the field's technical advancements.
`helloianneo/ian-xiaohei-scenes`, with its distinctive Chinese-themed real-object illustrations and long-scroll story images generated through Codex Skill, is another project gaining traction. Its growth score of 9.27 reflects a community interest in culturally-specific AI-generated content that offers unique visual storytelling capabilities.
`helloianneo/ian-xiaohei-illustrations` stands out with its high star count of over 5,000 and a growth score of 8.31. This project generates hand-drawn illustrations for Chinese articles, featuring a minimalist design and color palette, making it popular among content creators looking to add distinctive visuals to their work.
`Guo-chunyu/Chaning.G-s-Lrlab`, with its focus on integrating large language models (LLM) aesthetics into professional photography post-processing workflows, has seen moderate growth. This project bridges the gap between AI-generated inspiration and practical Lightroom preset generation, appealing to photographers who want to enhance their work using cutting-edge AI techniques.
`ClutchRegentKiln/Stable-Diffusion-WebUI-Portable-Full-Pack`, a full premium build of Stable Diffusion WebUI for Windows with unlocked pro features, continues to attract users interested in creative suite capabilities. With its growth score of 3.54 and a growing number of stars, it caters to those who need robust tools for text-to-image generation without the hassle of extensive setup.
`MSALab-PKU/LoomVideo`, an official implementation focusing on unifying multimodal inputs into video generation and editing, is another notable entry with a growth score of 3.41. This project offers researchers and developers a powerful framework to explore advanced video synthesis techniques, enhancing the capabilities for creating dynamic visual content.
Finally, `freerollertunnel/Kling-AI-Pro-Unlimited`, which extends Kling AI Pro's text-to-video generation and image animation features with priority rendering and extended duration support, is gaining attention among creators looking for more control over their generative video projects. Its growth score of 3.28 indicates steady interest from a community seeking premium capabilities in AI-driven video creation.
Overall, Today's trends highlight the increasing demand for versatile and accessible tools that cater to both professional and casual users in image and video generation, showcasing the growing importance of AI in creative workflows across different sectors.
`kadevin/ilab-gpt-conjure` is an AI image generation WebUI workbench that supports Codex Responses and OpenAI-compatible API, providing a rich set of functionalities such as shared galleries, multi-type quick chips, prompt templates, concurrent tasks management, and local queue handling. With its high growth score and over 500 stars, it appears to be growing rapidly due to its extensive feature set and ease-of-use for developers and artists looking to integrate AI image generation into their workflows.
`techjarves/Local-AI-Image-Generator`, with a notable growth score of 21.03, is designed as an offline AI image generation studio tailored specifically for Windows users. It runs Stable Diffusion locally without the need for manual setup and supports both CUDA for Nvidia GPUs and Vulkan for AMD and Intel Arc cards, making it highly accessible to those seeking local AI-driven creativity with minimal overhead.
`Lekien082/AI-Photo-Background-Remover`, an easy-to-use desktop utility powered by AI, automatically removes backgrounds from photos offline and in high resolution. Despite its smaller growth score of 11.62, it has garnered attention for its simplicity and efficiency in handling photo editing tasks without the need for internet access.
`nv-tlabs/dvlt` is an implementation focused on multi-view 3D reconstruction using Looping Transformers. This project, with a moderate growth rate of 9.82, offers researchers and developers tools to explore advanced methods in 3D reconstruction from multiple viewpoints, contributing significantly to the field's technical advancements.
`helloianneo/ian-xiaohei-scenes`, with its distinctive Chinese-themed real-object illustrations and long-scroll story images generated through Codex Skill, is another project gaining traction. Its growth score of 9.27 reflects a community interest in culturally-specific AI-generated content that offers unique visual storytelling capabilities.
`helloianneo/ian-xiaohei-illustrations` stands out with its high star count of over 5,000 and a growth score of 8.31. This project generates hand-drawn illustrations for Chinese articles, featuring a minimalist design and color palette, making it popular among content creators looking to add distinctive visuals to their work.
`Guo-chunyu/Chaning.G-s-Lrlab`, with its focus on integrating large language models (LLM) aesthetics into professional photography post-processing workflows, has seen moderate growth. This project bridges the gap between AI-generated inspiration and practical Lightroom preset generation, appealing to photographers who want to enhance their work using cutting-edge AI techniques.
`ClutchRegentKiln/Stable-Diffusion-WebUI-Portable-Full-Pack`, a full premium build of Stable Diffusion WebUI for Windows with unlocked pro features, continues to attract users interested in creative suite capabilities. With its growth score of 3.54 and a growing number of stars, it caters to those who need robust tools for text-to-image generation without the hassle of extensive setup.
`MSALab-PKU/LoomVideo`, an official implementation focusing on unifying multimodal inputs into video generation and editing, is another notable entry with a growth score of 3.41. This project offers researchers and developers a powerful framework to explore advanced video synthesis techniques, enhancing the capabilities for creating dynamic visual content.
Finally, `freerollertunnel/Kling-AI-Pro-Unlimited`, which extends Kling AI Pro's text-to-video generation and image animation features with priority rendering and extended duration support, is gaining attention among creators looking for more control over their generative video projects. Its growth score of 3.28 indicates steady interest from a community seeking premium capabilities in AI-driven video creation.
Overall, Today's trends highlight the increasing demand for versatile and accessible tools that cater to both professional and casual users in image and video generation, showcasing the growing importance of AI in creative workflows across different sectors.