Today's Image & Video Generation: Fastest-Growing Projects — June 17, 2026
This week, the Image & Video Generation space continues to heat up with a variety of innovative projects, each bringing new capabilities and ease-of-use improvements for AI-driven image creation and video processing tasks. The kadevin/ilab-gpt-conjure project stands out as one of the most active, offering a comprehensive workbench for generating images through an intuitive web interface that supports OpenAI-compatible APIs.
kadevin/ilab-gpt-conjure provides an AI image generation WebUI workbench for GPT-image-2 with features such as Codex Responses and support for OpenAI-compatible API access. Its high Growth Score of 49.94 and a significant number of stars (485) indicate strong community interest, likely due to its versatile functionality and ease of use.
Vectorurvary/Topaz-Photo-Video-AI-Setup is designed as a one-command installer for Topaz AI tools, enabling users to upscale images and videos to 4K or even 8K resolution while also offering noise removal and face recovery features. The tool's Growth Score of 46.50 highlights its rapid adoption among those seeking high-resolution image and video enhancements.
StratumManateeSpirit/Topaz-Video-AI-4K-Upscaler focuses on providing a streamlined experience for users who want to upscale their videos to 4K resolution using Topaz AI's suite of tools, which also includes noise removal and sharpening capabilities. With a Growth Score of 34.50, this project is seeing notable engagement from enthusiasts looking to enhance the quality of their video content significantly.
techjarves/Local-AI-Image-Generator offers an offline solution for Windows users who wish to generate AI images without relying on cloud services or manual setup processes. Running Stable Diffusion locally with CUDA support for Nvidia GPUs and Vulkan for AMD/Intel Arc cards, this tool's 23.77 Growth Score reflects its appeal among users seeking a fully self-contained image generation studio.
Lekien082/AI-Photo-Background-Remover is an easy-to-use desktop utility that leverages AI to automatically remove backgrounds from photos locally and offline at high resolution. With a Growth Score of 23.25, this tool has garnered attention for its straightforward approach to enhancing photo editing capabilities without the need for internet connectivity.
nv-tlabs/dvlt provides the official implementation of Déjà View, a looping transformer model aimed at multi-view 3D reconstruction tasks. Despite having a relatively lower Growth Score of 10.92, the project's substantial number of stars (333) suggests it is valued by researchers and developers working on advanced 3D imaging solutions.
helloianneo/ian-xiaohei-scenes serves as a Codex Skill designed for generating real-object illustrations and long-scroll story images in Chinese, leveraging Xiaohei 2.0's capabilities to produce engaging visual content. Its Growth Score of 10.04 indicates steady interest from users looking to create detailed and contextually rich image narratives.
helloianneo/ian-xiaohei-illustrations is another Codex Skill that focuses on generating hand-drawn illustrations with specific color schemes, aiming to provide a unique artistic touch for digital content creation. With an impressive 4,869 stars, this project reflects the broader community's appreciation for visually distinctive and customizable AI-generated art.
Guo-chunyu/Chaning.G-s-Lrlab presents a professional workflow that integrates large language models with advanced color grading algorithms to enhance photography post-processing tasks. Its Growth Score of 4.35 might be modest compared to others but indicates steady interest among professionals who value the seamless integration between AI inspiration and practical photo editing.
MSALab-PKU/LoomVideo is an official implementation focusing on unifying multimodal inputs into video generation and editing processes, showcasing potential advancements in how AI can handle diverse multimedia data. With a Growth Score of 3.80, this project suggests ongoing interest from researchers and developers looking to innovate in the realm of automated video creation and enhancement.
Overall, these projects reflect the dynamic nature of image and video generation technology, each addressing unique aspects of creativity, accessibility, and technical innovation within their respective niches.
kadevin/ilab-gpt-conjure provides an AI image generation WebUI workbench for GPT-image-2 with features such as Codex Responses and support for OpenAI-compatible API access. Its high Growth Score of 49.94 and a significant number of stars (485) indicate strong community interest, likely due to its versatile functionality and ease of use.
Vectorurvary/Topaz-Photo-Video-AI-Setup is designed as a one-command installer for Topaz AI tools, enabling users to upscale images and videos to 4K or even 8K resolution while also offering noise removal and face recovery features. The tool's Growth Score of 46.50 highlights its rapid adoption among those seeking high-resolution image and video enhancements.
StratumManateeSpirit/Topaz-Video-AI-4K-Upscaler focuses on providing a streamlined experience for users who want to upscale their videos to 4K resolution using Topaz AI's suite of tools, which also includes noise removal and sharpening capabilities. With a Growth Score of 34.50, this project is seeing notable engagement from enthusiasts looking to enhance the quality of their video content significantly.
techjarves/Local-AI-Image-Generator offers an offline solution for Windows users who wish to generate AI images without relying on cloud services or manual setup processes. Running Stable Diffusion locally with CUDA support for Nvidia GPUs and Vulkan for AMD/Intel Arc cards, this tool's 23.77 Growth Score reflects its appeal among users seeking a fully self-contained image generation studio.
Lekien082/AI-Photo-Background-Remover is an easy-to-use desktop utility that leverages AI to automatically remove backgrounds from photos locally and offline at high resolution. With a Growth Score of 23.25, this tool has garnered attention for its straightforward approach to enhancing photo editing capabilities without the need for internet connectivity.
nv-tlabs/dvlt provides the official implementation of Déjà View, a looping transformer model aimed at multi-view 3D reconstruction tasks. Despite having a relatively lower Growth Score of 10.92, the project's substantial number of stars (333) suggests it is valued by researchers and developers working on advanced 3D imaging solutions.
helloianneo/ian-xiaohei-scenes serves as a Codex Skill designed for generating real-object illustrations and long-scroll story images in Chinese, leveraging Xiaohei 2.0's capabilities to produce engaging visual content. Its Growth Score of 10.04 indicates steady interest from users looking to create detailed and contextually rich image narratives.
helloianneo/ian-xiaohei-illustrations is another Codex Skill that focuses on generating hand-drawn illustrations with specific color schemes, aiming to provide a unique artistic touch for digital content creation. With an impressive 4,869 stars, this project reflects the broader community's appreciation for visually distinctive and customizable AI-generated art.
Guo-chunyu/Chaning.G-s-Lrlab presents a professional workflow that integrates large language models with advanced color grading algorithms to enhance photography post-processing tasks. Its Growth Score of 4.35 might be modest compared to others but indicates steady interest among professionals who value the seamless integration between AI inspiration and practical photo editing.
MSALab-PKU/LoomVideo is an official implementation focusing on unifying multimodal inputs into video generation and editing processes, showcasing potential advancements in how AI can handle diverse multimedia data. With a Growth Score of 3.80, this project suggests ongoing interest from researchers and developers looking to innovate in the realm of automated video creation and enhancement.
Overall, these projects reflect the dynamic nature of image and video generation technology, each addressing unique aspects of creativity, accessibility, and technical innovation within their respective niches.