Today's Image & Video Generation: Fastest-Growing Projects — April 25, 2026
This week, we saw significant advancements in the Image & Video Generation space, with a focus on multimodal foundation models and text-to-image generation. The top tools are showcasing impressive growth scores, indicating a surge in interest from developers and researchers alike. One notable trend is the emphasis on self-hosted solutions and local AI processing.
jd-opensource/JoyAI-Image has taken the lead with a remarkable Growth Score of 51.68 and over 1,951 stars. JoyAI-Image is a unified multimodal foundation model that enables image understanding, text-to-image generation, and instruction-guided image editing. Its growth can be attributed to its versatility and ability to cater to various applications in the field.
snapotter-hq/SnapOtter follows closely with a Growth Score of 29.15 and 881 stars. SnapOtter is a self-hosted image manipulator that offers over 45 tools, local AI processing, and pipelines within a single Docker container. Its growth stems from its unique selling point of ensuring users' images never leave their machines, emphasizing data security and privacy.
baidu/ERNIE-Image boasts an impressive Growth Score of 26.09 and 370 stars. ERNIE-Image is an open text-to-image generation model built on a single-stream Diffusion Transformer (DiT), achieving state-of-the-art performance among open-weight models. Its growth can be attributed to its high-quality outputs and relatively low parameter count, making it an attractive choice for developers.
OpenMOSS/MOSS-VL has secured a Growth Score of 14.53 and 230 stars. MOSS-VL is the core multimodal model series within the OpenMOSS ecosystem, dedicated to visual understanding. Its growth indicates increasing interest in multimodal models that can effectively process various forms of input data.
kangarooking/design-image-studio has achieved a Growth Score of 14.50 and 86 stars. This tool transforms fuzzy visual demands into high-quality design images. Although its growth is modest, it demonstrates the growing need for AI-powered design solutions that cater to diverse user requirements.
ShandaAI/AlayaRenderer boasts a Growth Score of 12.70 and 527 stars. AlayaRenderer is an AI-native renderer designed for games and virtual worlds. Its growth can be attributed to the increasing demand for high-quality rendering engines in the gaming industry.
gulucaptain/Camera-Transformer-1 has secured a Growth Score of 11.00 and 156 stars. This tool enables users to generate videos with precise, spatially-aware camera control using natural language inputs. Its growth indicates interest in AI-driven video production tools that can automate complex tasks.
jiangchaokang/awesome-generative-models has achieved a Growth Score of 7.36 and 100 stars. This repository provides weekly updates on the latest diffusion generation models across various fields. Its growth demonstrates the growing need for resources that track advancements in generative models.
NVlabs/PixelDiT boasts a Growth Score of 5.67 and 244 stars. Pixel DiT is an image generation model built on pixel diffusion transformers, which was presented at CVPR 2026 Oral. Although its growth is relatively slow, it highlights the ongoing interest in novel architectures for image synthesis.
YouMind-OpenLab/awesome-gpt-image-2 has secured a Growth Score of 4.58 and an impressive 1,996 stars. This repository offers a curated prompt library for OpenAI's next-gen image model with advanced features such as pixel-perfect text rendering and cross-image consistency. Its growth indicates the growing adoption of GPT Image 2 in various applications.
jd-opensource/JoyAI-Image has taken the lead with a remarkable Growth Score of 51.68 and over 1,951 stars. JoyAI-Image is a unified multimodal foundation model that enables image understanding, text-to-image generation, and instruction-guided image editing. Its growth can be attributed to its versatility and ability to cater to various applications in the field.
snapotter-hq/SnapOtter follows closely with a Growth Score of 29.15 and 881 stars. SnapOtter is a self-hosted image manipulator that offers over 45 tools, local AI processing, and pipelines within a single Docker container. Its growth stems from its unique selling point of ensuring users' images never leave their machines, emphasizing data security and privacy.
baidu/ERNIE-Image boasts an impressive Growth Score of 26.09 and 370 stars. ERNIE-Image is an open text-to-image generation model built on a single-stream Diffusion Transformer (DiT), achieving state-of-the-art performance among open-weight models. Its growth can be attributed to its high-quality outputs and relatively low parameter count, making it an attractive choice for developers.
OpenMOSS/MOSS-VL has secured a Growth Score of 14.53 and 230 stars. MOSS-VL is the core multimodal model series within the OpenMOSS ecosystem, dedicated to visual understanding. Its growth indicates increasing interest in multimodal models that can effectively process various forms of input data.
kangarooking/design-image-studio has achieved a Growth Score of 14.50 and 86 stars. This tool transforms fuzzy visual demands into high-quality design images. Although its growth is modest, it demonstrates the growing need for AI-powered design solutions that cater to diverse user requirements.
ShandaAI/AlayaRenderer boasts a Growth Score of 12.70 and 527 stars. AlayaRenderer is an AI-native renderer designed for games and virtual worlds. Its growth can be attributed to the increasing demand for high-quality rendering engines in the gaming industry.
gulucaptain/Camera-Transformer-1 has secured a Growth Score of 11.00 and 156 stars. This tool enables users to generate videos with precise, spatially-aware camera control using natural language inputs. Its growth indicates interest in AI-driven video production tools that can automate complex tasks.
jiangchaokang/awesome-generative-models has achieved a Growth Score of 7.36 and 100 stars. This repository provides weekly updates on the latest diffusion generation models across various fields. Its growth demonstrates the growing need for resources that track advancements in generative models.
NVlabs/PixelDiT boasts a Growth Score of 5.67 and 244 stars. Pixel DiT is an image generation model built on pixel diffusion transformers, which was presented at CVPR 2026 Oral. Although its growth is relatively slow, it highlights the ongoing interest in novel architectures for image synthesis.
YouMind-OpenLab/awesome-gpt-image-2 has secured a Growth Score of 4.58 and an impressive 1,996 stars. This repository offers a curated prompt library for OpenAI's next-gen image model with advanced features such as pixel-perfect text rendering and cross-image consistency. Its growth indicates the growing adoption of GPT Image 2 in various applications.