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Today's Image & Video Generation: Fastest-Growing Projects — June 05, 2026

Today's the Image & Video Generation space, there's a notable surge in projects that leverage large language models for image creation and editing, with an emphasis on user-friendly interfaces and Chinese-specific applications. The top growth this week is seen in bytedance/Lance, which stands out as a lightweight multimodal model designed to understand, generate, and edit images and videos.

bytedance/Lance has a Growth Score of 46.14 and over 1,130 stars, indicating its rapid adoption among developers interested in unified multimodal models for various applications ranging from image understanding to video editing. The project's continuous development with 96 commits in the last month suggests active community engagement and updates.

helloianneo/ian-xiaohei-scenes is a Codex Skill that generates illustrations and long-scroll story images tailored for Chinese real-object articles, aiming to enhance visual content creation for digital publications. With a Growth Score of 38.50 and 56 stars, the project's steady growth can be attributed to its niche appeal in the Chinese market and its potential for content creators looking to enrich their online articles with custom illustrations.

nv-tlabs/dvlt is the official implementation of Déjà View, a looping transformer model designed specifically for multi-view 3D reconstruction. This tool has gained attention with a Growth Score of 19.83 and 199 stars, likely due to its innovative approach in leveraging transformers for complex 3D tasks, which can be useful in fields such as robotics and augmented reality.

Guo-chunyu/Chaning.G-s-Lrlab integrates the aesthetic characteristics of large language models with neural network-level color grading algorithms to create professional photography post-processing workflows. It bridges camera RAW folders or photo collections directly with AI-generated inspiration and generates Lightroom `.XMP` presets automatically, making it appealing for photographers looking to streamline their workflow. With a Growth Score of 11.10 and 75 stars, the project's growth is driven by its unique integration of advanced AI techniques into photography post-processing.

helloianneo/ian-xiaohei-illustrations generates hand-drawn illustrations with specific color palettes for digital content creation, particularly in the Chinese market. The project has a Growth Score of 10.28 and an impressive 2,152 stars, reflecting its popularity among creators who need visually appealing illustrations for their articles or posts.

lilliancrivaro27064501728/AI-Photo-Background-Remover is a desktop utility that uses AI to remove backgrounds from photos efficiently and without internet connectivity. With a Growth Score of 9.40 and 76 stars, the project's growth can be attributed to its practical application in photo editing and its user-friendly interface.

aiqinxuancai/MintImage provides an easy-to-use client for generating images across multiple platforms using AI models compatible with OpenAI APIs. The tool has a Growth Score of 8.30 and 64 stars, indicating steady growth as more developers integrate cross-platform image generation capabilities into their projects.

keshik6/gpic is the official codebase for GPIC, which aims to create large-scale permissive image corpora for visual generation tasks. With a Growth Score of 6.86 and 33 stars, its development activity with 10 commits in the last month suggests ongoing interest from researchers and developers working on generative models.

microsoft/Lens is a text-to-image diffusion model that excels at generating high-quality images with fewer computational resources compared to other leading models like FLUX and SD3. With a Growth Score of 4.93 and 225 stars, the project's growth can be attributed to its efficiency in training large-scale models for image generation.

Hao0321/ai-media-generator offers an automated prompt crafting tool that leverages Claude AI to generate high-quality prompts for various media types including images, videos, and music. The Growth Score of 4.52 and 64 stars reflect its growing appeal among users seeking comprehensive automation in content creation across multiple platforms.
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