📣 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!
#AUTOMATIC1111 #ControlNET #AmbrosinusToolkit #DEV #Grasshopper #AI #AIasRenderingEngine #C #coding #rhino #lucianoambrosini
🧾 Files + full description - bit.ly/SDandCN...
👉 About me - bit.ly/AboutMe...
⏱️ Highlights
00:07 Main settings
00:57 Set the Dataset model checkpoint (for instance mdjrny-v4)
1:24 Open a Rhino file
2:00 ViewCapture component
3:27 If you encounter an issue when running the CMD process?
4:11 View 01 rendering
5:05 View 02 rendering
5:29 Image Upscaling
6:09 OpenDir component (wip)
6:32 Upscaled image embedded info
Негізгі бет AI as Rendering Engine: Ambrosinus Toolkit v1.2.1
Пікірлер: 17