Today's Image & Video Generation: Fastest-Growing Projects — October 30, 2026
Today's the Image & Video Generation space, we see a mix of innovative projects leveraging AI to create content across various mediums including manga creation, virtual dressing rooms, and pixel art animation. The most notable project this week is "langchain-ai/design-agent," an open-source design agent that can generate on-brand images, diagrams, charts, decks, and motion graphics directly from chat threads.
"langchain-ai/design-agent" boasts a high growth score of 38.33 and has garnered 467 stars on GitHub. Its ability to produce professional-grade visual content based on conversational input positions it as a valuable tool for designers and developers looking to streamline their creative processes with AI assistance.
"stockedge/manga-generator," with a growth score of 18.69 and 128 stars, is another standout project this week. This manga creation tool facilitates the entire process from scriptwriting to PDF output using Codex, making it an all-in-one solution for aspiring manga artists looking to leverage AI in their creative workflows.
"paipiange/nvzhuang," which has received 155 stars and a growth score of 13.66, offers a unique virtual dressing room experience powered by AI image generation services such as OpenAI Images and Gemini. This tool supports both Chinese and English searches and provides an extensive collection of images for users to experiment with different styles.
"TitanByDark/resp-codex-image-context-runtime" has seen moderate growth with a score of 11.00 and 32 stars, offering a Codex plugin and local MCP runtime for context-bounded image generation and inspection. This tool caters to developers who need more control over the AI-generated images by providing a framework to inspect and manage them within specific contexts.
"JotunheimCount/rpocket-team-eyeproof," also with 32 stars and a growth score of 11.00, is designed for coding agents to generate screenshots, game play-tests, Blender renders, and videos in a headless environment. This tool's utility lies in its ability to measure and analyze visual content without the need for graphical interfaces.
"yangsir2077/pixel-loom," with 96 stars and a growth score of 10.60, is an open-source pixel art and animation editor that allows AI-driven creation through MCP. The tool provides a portable Windows version, making it accessible to users who prefer not to install software locally.
"speridlabs/iris-3b" has attracted 207 stars with a growth score of 6.78, focusing on direct pixel-space generation and general vision learning using a diffusion transformer. This project's unique approach to generating images directly without the need for VAE makes it an interesting tool for researchers and developers interested in cutting-edge image synthesis techniques.
"SAOS-3624/dsh-video-storyboard," with 187 stars and a growth score of 5.82, introduces scene-aware storyboarding tools designed to enhance video production workflows within the DeepSeek Harness framework. The project's innovative approach to integrating timestamps, transcripts, and audio envelopes into storyboard images makes it particularly appealing for filmmakers and content creators.
"innayakendya/SketchRivet," which has accumulated 115 stars with a growth score of 5.58, is described as a high-performance design tool utilizing real-time and AI-driven algorithms to enhance the user experience in creating digital designs. Its robust framework engine supports efficient data processing and real-time updates, making it an attractive option for designers seeking advanced features.
Finally, "eduardoabreu81/moss-image-forge-neo" has seen a growth score of 5.39 with 22 stars, offering text-to-image generation capabilities through Stable Diffusion WebUI Forge Neo. This project's ability to handle both English and Chinese text inputs and provide img2img functionalities makes it suitable for users looking to create high-quality images using AI-driven techniques.
These projects collectively demonstrate the evolving landscape of AI in image and video generation, highlighting advancements in automation, customization, and accessibility across various creative industries.
"langchain-ai/design-agent" boasts a high growth score of 38.33 and has garnered 467 stars on GitHub. Its ability to produce professional-grade visual content based on conversational input positions it as a valuable tool for designers and developers looking to streamline their creative processes with AI assistance.
"stockedge/manga-generator," with a growth score of 18.69 and 128 stars, is another standout project this week. This manga creation tool facilitates the entire process from scriptwriting to PDF output using Codex, making it an all-in-one solution for aspiring manga artists looking to leverage AI in their creative workflows.
"paipiange/nvzhuang," which has received 155 stars and a growth score of 13.66, offers a unique virtual dressing room experience powered by AI image generation services such as OpenAI Images and Gemini. This tool supports both Chinese and English searches and provides an extensive collection of images for users to experiment with different styles.
"TitanByDark/resp-codex-image-context-runtime" has seen moderate growth with a score of 11.00 and 32 stars, offering a Codex plugin and local MCP runtime for context-bounded image generation and inspection. This tool caters to developers who need more control over the AI-generated images by providing a framework to inspect and manage them within specific contexts.
"JotunheimCount/rpocket-team-eyeproof," also with 32 stars and a growth score of 11.00, is designed for coding agents to generate screenshots, game play-tests, Blender renders, and videos in a headless environment. This tool's utility lies in its ability to measure and analyze visual content without the need for graphical interfaces.
"yangsir2077/pixel-loom," with 96 stars and a growth score of 10.60, is an open-source pixel art and animation editor that allows AI-driven creation through MCP. The tool provides a portable Windows version, making it accessible to users who prefer not to install software locally.
"speridlabs/iris-3b" has attracted 207 stars with a growth score of 6.78, focusing on direct pixel-space generation and general vision learning using a diffusion transformer. This project's unique approach to generating images directly without the need for VAE makes it an interesting tool for researchers and developers interested in cutting-edge image synthesis techniques.
"SAOS-3624/dsh-video-storyboard," with 187 stars and a growth score of 5.82, introduces scene-aware storyboarding tools designed to enhance video production workflows within the DeepSeek Harness framework. The project's innovative approach to integrating timestamps, transcripts, and audio envelopes into storyboard images makes it particularly appealing for filmmakers and content creators.
"innayakendya/SketchRivet," which has accumulated 115 stars with a growth score of 5.58, is described as a high-performance design tool utilizing real-time and AI-driven algorithms to enhance the user experience in creating digital designs. Its robust framework engine supports efficient data processing and real-time updates, making it an attractive option for designers seeking advanced features.
Finally, "eduardoabreu81/moss-image-forge-neo" has seen a growth score of 5.39 with 22 stars, offering text-to-image generation capabilities through Stable Diffusion WebUI Forge Neo. This project's ability to handle both English and Chinese text inputs and provide img2img functionalities makes it suitable for users looking to create high-quality images using AI-driven techniques.
These projects collectively demonstrate the evolving landscape of AI in image and video generation, highlighting advancements in automation, customization, and accessibility across various creative industries.