📣 Since Ambrosinus Toolkit v1.1.9 is possible running Stable Diffusion and the wonderful neural network named ControlNET locally via Grasshopper. New components are based on the wonderful project of AUTOMATIC1111 which exploits all the power of Stable Diffusion entirely locally. But it doesn’t end here, in fact through the expansion that integrates a second neural network, ControlNET v1.0 (developed by Stanford researchers) it is possible to use all the power of AI in the main creative activities carried out by architects and designers – AI as a rendering engine! (or something really promising 🧐). 💡With v1.2.1 is possible to interact with the webui-user.bat file, with Rhino views (so pass your model screenshot directly in the AI engine to get a conceptual render) and Upscale the image! ✨ The Ambrosinus-Toolkit project is always under development. Stay tuned!

💡 I developed this simple tool helpful to run quickly Stable Diffusion WebUI from the AUTOMATIC1111 project. This is a .EXE file runnable on Windows OS. With WinSDlauncher v1.1.1 is not required to run the App as a Windows Administrator! Latest update… 📣 This version has added the possibility to set some command arguments and overwrite/create the “webui-user.bat” file according to them. ✨ The Ambrosinus-Toolkit project is always under development and also out of the Grasshopper environment as AmbrosinusDEV experiments. Stay tuned!

📣 Since Ambrosinus Toolkit v1.1.9 is possible running Stable Diffusion and the wonderful neural network named ControlNET locally via Grasshopper. New components are based on the wonderful project of AUTOMATIC1111 which exploits all the power of Stable Diffusion entirely locally. But it doesn’t end here, in fact through the expansion that integrates a second neural network, ControlNET (developed by Stanford researchers) it is possible to use all the power of AI in the main creative activities carried out by architects and designers – AI as a rendering engine! (or something really promising 🧐). 💡 I developed some Grasshopper components that lay the foundations for exploiting the enormous potential of this project, without the use of API keys, manageable locally…but above all free! ✨ The Ambrosinus-Toolkit project is always under development and will be part of different Academic Research and experimentations. Stay tuned!

📣 Next Ambrosinus Toolkit version will include obtaining a 3D object (Mesh or PointCloud) through the monocular depth map estimation process – the new motto is: “What You See Is What You Test” WYSIWYT. “DPTto3D” component can generate different depth maps (in many Matlabplot palettes) and a PLY file. The designer will able to manipulate the point cloud as he/she wishes especially throughout the new Rhino 8 command: “ShrinkWrap”. Some frames have been speeded up. The Ambrosinus-Toolkit project is always under development and will be part of different Academic Research and experimentations. Stay tuned!

📣 Since Ambrosinus Toolkit v1.1.5 and LA_StabilityAI-GH build-106 component, it is possible exploring AI generative art with more focus on the details. Now, you can run TXTtoIMG, IMGtoIMG and IMGtoIMG Masking modes in a unique tool. This demo shows also how to use some new/updated components like GrayGaussMask, FileNAmer and SdINinfo. Thank you Stability-AI to have shared your API documentation for Stable Diffusion!

📣 Ambrosinus Toolkit is a Grasshopper toolset of components and utilities useful for the user’s projects – From design to management. In this video, I have shown this ghuser component can execute the requesting process for OpenAI “text completion mode”. This AI capability allows designers/users to ask for answers or submitting instructions to AI.

📣 Ambrosinus Toolkit is a Grasshopper toolset of components and utilities useful for the user’s projects – From design to management. In this video, I have shown a ghuser component (advanced – according to Open AI DALL-E features) that I have coded to play with a prompt-to-image requesting process.

📣 Ambrosinus Toolkit is a Grasshopper toolset of components and utilities useful for the user’s projects – From design to management. In this video, I have shown a ghuser component (advanced – according to Open AI DALL-E features) that I have coded to play with a prompt-to-image requesting process.

📣 Ambrosinus Toolkit is a Grasshopper toolset of components and utilities useful for the user’s projects – From design to management. Thanks to Stability-AI API documentation for Stable Diffusion (v 1.5) by DreamStudio is it possible to integrate into Grasshopper our “prompts to image” process throughout my component “LA_StabilityAI-GH”

📣 Ambrosinus Toolkit is a Grasshopper toolset of components and utilities useful for the user’s projects – From design to management. In this video, I have shown a ghuser component that I have coded to play with a prompt-to-image process. 🆙 [𝗨𝗣𝗗𝗔𝗧𝗘] If you don’t want to install any Python libraries have a look at Ambrosinus-Toolkit_v1.1.1 – https://bit.ly/AmbrosinusToolkit_Food4Rhino it has integrated DALL-E request process thanks “DALLEfromGH” component (info https://bit.ly/DALLEfromGH-AmbrosinusToolkit )