Today's Image & Video Generation: Fastest-Growing Projects — June 13, 2026
Today's the Image & Video Generation space, there's a noticeable trend towards lightweight and unified multimodal models that cater to both understanding and generating visual content. Additionally, local and offline solutions for image generation are gaining traction among developers looking for an easy-to-use and efficient way to work with AI without relying on cloud services.
bytedance/Lance is a lightweight native model designed for the comprehensive tasks of image and video understanding, generation, and editing. With its recent spike in popularity, indicated by 1,194 stars and a growth score of 34.60, Lance stands out due to its versatility and potential applications across various visual content creation scenarios.
techjarves/Local-AI-Image-Generator offers a fully self-contained image generation studio for Windows, eliminating the need for manual setup by auto-configuring CUDA and Vulkan drivers. Its rapid growth, with 184 stars and a score of 31.22, reflects its appeal to users seeking local and offline AI capabilities without system-wide dependencies.
nv-tlabs/dvlt is an official implementation focused on multi-view 3D reconstruction using Looping Transformers. Despite having fewer active commits in the last month (only three), it has attracted 314 stars and a growth score of 13.36, indicating its significance in advanced image processing and AI research.
helloianneo/ian-xiaohei-scenes provides Xiaohei 2.0 Codex Skill for generating Chinese real-object article illustrations and long-scroll story images. With a modest but consistent growth rate (7.06), it garners interest from content creators seeking localized and culturally specific visual generation tools, accumulating 94 stars.
leeguooooo/chatgpt-imagegen enables users to generate images using their ChatGPT subscription directly through the command line without any API keys or gateways. Its utility in simplifying image generation for developers has led to a steady rise in popularity, with 170 stars and a growth score of 6.15.
Guo-chunyu/Chaning.G-s-Lrlab integrates large language models (LLM) with neural network-level color grading algorithms, offering a professional photography post-processing workflow that bridges camera RAW folders with AI inspiration. With 100 stars and a growth score of 5.69, it highlights the growing demand for AI-driven tools in creative editing processes.
MSALab-PKU/LoomVideo aims to unify multimodal inputs into video generation and editing, reflecting its importance in cutting-edge research. Its recent increase in interest is marked by 58 stars and a growth score of 4.82, suggesting it's gaining traction among researchers and developers working on complex visual content.
lilliancrivaro27064501728/AI-Photo-Background-Remover provides an easy-to-use utility for removing backgrounds from photos locally and offline with high resolution. Its growth score of 3.62, alongside 76 stars, indicates a steady user base interested in efficient local processing solutions.
r219950810279/AI-Photo-Background-Remover offers similar functionality to the previous tool but has slightly fewer stars (67) and a growth score of 3.54. This suggests it's also meeting a demand for offline background removal tools, though perhaps in a more niche audience.
keshik6/gpic is the official codebase for GPIC, a giant permissive image corpus designed for visual generation tasks. With 43 stars and a growth score of 3.53, its recent increase in popularity hints at growing interest in large-scale datasets for training and testing AI models focused on visual content creation.
These tools collectively showcase the diverse range of applications and innovations in the realm of image and video generation, catering to both professional developers and casual users alike.
bytedance/Lance is a lightweight native model designed for the comprehensive tasks of image and video understanding, generation, and editing. With its recent spike in popularity, indicated by 1,194 stars and a growth score of 34.60, Lance stands out due to its versatility and potential applications across various visual content creation scenarios.
techjarves/Local-AI-Image-Generator offers a fully self-contained image generation studio for Windows, eliminating the need for manual setup by auto-configuring CUDA and Vulkan drivers. Its rapid growth, with 184 stars and a score of 31.22, reflects its appeal to users seeking local and offline AI capabilities without system-wide dependencies.
nv-tlabs/dvlt is an official implementation focused on multi-view 3D reconstruction using Looping Transformers. Despite having fewer active commits in the last month (only three), it has attracted 314 stars and a growth score of 13.36, indicating its significance in advanced image processing and AI research.
helloianneo/ian-xiaohei-scenes provides Xiaohei 2.0 Codex Skill for generating Chinese real-object article illustrations and long-scroll story images. With a modest but consistent growth rate (7.06), it garners interest from content creators seeking localized and culturally specific visual generation tools, accumulating 94 stars.
leeguooooo/chatgpt-imagegen enables users to generate images using their ChatGPT subscription directly through the command line without any API keys or gateways. Its utility in simplifying image generation for developers has led to a steady rise in popularity, with 170 stars and a growth score of 6.15.
Guo-chunyu/Chaning.G-s-Lrlab integrates large language models (LLM) with neural network-level color grading algorithms, offering a professional photography post-processing workflow that bridges camera RAW folders with AI inspiration. With 100 stars and a growth score of 5.69, it highlights the growing demand for AI-driven tools in creative editing processes.
MSALab-PKU/LoomVideo aims to unify multimodal inputs into video generation and editing, reflecting its importance in cutting-edge research. Its recent increase in interest is marked by 58 stars and a growth score of 4.82, suggesting it's gaining traction among researchers and developers working on complex visual content.
lilliancrivaro27064501728/AI-Photo-Background-Remover provides an easy-to-use utility for removing backgrounds from photos locally and offline with high resolution. Its growth score of 3.62, alongside 76 stars, indicates a steady user base interested in efficient local processing solutions.
r219950810279/AI-Photo-Background-Remover offers similar functionality to the previous tool but has slightly fewer stars (67) and a growth score of 3.54. This suggests it's also meeting a demand for offline background removal tools, though perhaps in a more niche audience.
keshik6/gpic is the official codebase for GPIC, a giant permissive image corpus designed for visual generation tasks. With 43 stars and a growth score of 3.53, its recent increase in popularity hints at growing interest in large-scale datasets for training and testing AI models focused on visual content creation.
These tools collectively showcase the diverse range of applications and innovations in the realm of image and video generation, catering to both professional developers and casual users alike.