Today's Image & Video Generation: Fastest-Growing Projects — May 01, 2026
This week, the Image & Video Generation space has seen significant growth in tools that leverage AI to create realistic images and videos. Stable diffusion models and text-to-image generation have been particularly popular, with several repositories showcasing innovative applications of these technologies. Meanwhile, multimodal models that combine visual understanding with other modalities are also gaining traction.
Senabayu08989/Stable-Diffusion-AI-Free has taken the top spot this week with a growth score of 40.00 and 142 stars. This repository provides a free AI image generator using stable diffusion, allowing users to generate high-resolution images and videos with real-time character consistency and identity anchoring. Its popularity can be attributed to its ability to provide a local deployment solution for stable diffusion models.
Lidge-jun/ima2-gen comes in second with a growth score of 39.45 and 126 stars. This minimal CLI + web UI tool enables OpenAI GPT Image 2 generation, supporting text-to-image, image-to-image, parallel gen, and custom sizes. Its dual authentication system, allowing users to choose between API Key or OAuth via ChatGPT, has likely contributed to its rapid growth.
Baidu/ERNIE-Image boasts an impressive 412 stars and a growth score of 18.29. This open text-to-image generation model uses a single-stream Diffusion Transformer (DiT) with only 8B DiT parameters, achieving state-of-the-art performance among open-weight text-to-image models. Its popularity stems from its ability to generate high-quality images while being relatively lightweight.
OpenImagingLab/AnyRecon has garnered attention with a growth score of 14.25 and 228 stars. This repository presents AnyRecon, an arbitrary-view 3D reconstruction method using video diffusion model, allowing for the creation of 3D models from videos. Its innovative approach to 3D reconstruction has likely contributed to its growing popularity.
OpenMOSS/MOSS-VL boasts a growth score of 11.74 and 240 stars. This multimodal model series is dedicated to visual understanding, showcasing the increasing interest in models that combine multiple modalities. Its applications in various fields have likely driven its growth.
Gulucaptain/Camera-Transformer-1 has achieved a growth score of 10.98 and 239 stars. This repository introduces CT-1, a model that understands intent and generates videos with precise, spatially-aware camera control. Its ability to provide precise camera control has likely contributed to its popularity among video creators.
ShandaAI/AlayaRenderer boasts an impressive 533 stars and a growth score of 10.17. This generative world renderer is designed for games and virtual worlds, providing an AI-native rendering engine. Its applications in the gaming industry have likely driven its growth.
Xianyu110/awesome-gptimage2 has garnered attention with a growth score of 9.33 and 58 stars. This repository showcases GPT Image 2, OpenAI's next-generation AI image model, which has made significant improvements over its predecessor. Its ability to generate high-quality images has likely contributed to its growing popularity.
Kangarooking/design-image-studio boasts a growth score of 7.96 and 87 stars. This repository provides a tool that converts vague visual demands into high-quality design graphics. Its innovative approach to design image generation has likely driven its growth.
Jiangmuran/claude-image rounds out the list with a growth score of 7.90 and 37 stars. This repository teaches Claude Code/Codex to use GPT Image 2 effectively, providing a drop-in skill that enables agents to generate high-quality images. Its focus on improving AI image generation has likely contributed to its growing popularity.
Senabayu08989/Stable-Diffusion-AI-Free has taken the top spot this week with a growth score of 40.00 and 142 stars. This repository provides a free AI image generator using stable diffusion, allowing users to generate high-resolution images and videos with real-time character consistency and identity anchoring. Its popularity can be attributed to its ability to provide a local deployment solution for stable diffusion models.
Lidge-jun/ima2-gen comes in second with a growth score of 39.45 and 126 stars. This minimal CLI + web UI tool enables OpenAI GPT Image 2 generation, supporting text-to-image, image-to-image, parallel gen, and custom sizes. Its dual authentication system, allowing users to choose between API Key or OAuth via ChatGPT, has likely contributed to its rapid growth.
Baidu/ERNIE-Image boasts an impressive 412 stars and a growth score of 18.29. This open text-to-image generation model uses a single-stream Diffusion Transformer (DiT) with only 8B DiT parameters, achieving state-of-the-art performance among open-weight text-to-image models. Its popularity stems from its ability to generate high-quality images while being relatively lightweight.
OpenImagingLab/AnyRecon has garnered attention with a growth score of 14.25 and 228 stars. This repository presents AnyRecon, an arbitrary-view 3D reconstruction method using video diffusion model, allowing for the creation of 3D models from videos. Its innovative approach to 3D reconstruction has likely contributed to its growing popularity.
OpenMOSS/MOSS-VL boasts a growth score of 11.74 and 240 stars. This multimodal model series is dedicated to visual understanding, showcasing the increasing interest in models that combine multiple modalities. Its applications in various fields have likely driven its growth.
Gulucaptain/Camera-Transformer-1 has achieved a growth score of 10.98 and 239 stars. This repository introduces CT-1, a model that understands intent and generates videos with precise, spatially-aware camera control. Its ability to provide precise camera control has likely contributed to its popularity among video creators.
ShandaAI/AlayaRenderer boasts an impressive 533 stars and a growth score of 10.17. This generative world renderer is designed for games and virtual worlds, providing an AI-native rendering engine. Its applications in the gaming industry have likely driven its growth.
Xianyu110/awesome-gptimage2 has garnered attention with a growth score of 9.33 and 58 stars. This repository showcases GPT Image 2, OpenAI's next-generation AI image model, which has made significant improvements over its predecessor. Its ability to generate high-quality images has likely contributed to its growing popularity.
Kangarooking/design-image-studio boasts a growth score of 7.96 and 87 stars. This repository provides a tool that converts vague visual demands into high-quality design graphics. Its innovative approach to design image generation has likely driven its growth.
Jiangmuran/claude-image rounds out the list with a growth score of 7.90 and 37 stars. This repository teaches Claude Code/Codex to use GPT Image 2 effectively, providing a drop-in skill that enables agents to generate high-quality images. Its focus on improving AI image generation has likely contributed to its growing popularity.