In this guide for architects and archviz artists, learn how to set up and use Stable Diffusion to transform visualization and concept development. Explore its image-to-image features and its role in the future of architecture.
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See my course: Stable Diffusion Masterclass for Architects & ArchViz Artists
https://cadman.dk/stable-diffusion-masterclass-architects-archviz-artists/
Timestamps:
00:00 Intro – Why Stable Diffusion is interesting in architecture
01:40 Stable Diffusion web browser demo
02:14 System requirements
03:10 Install Git
04:05 Install Python
05:13 Install Stable Diffusion – WebUI
07:06 Install model/checkpoint
10:17 Set up WebUI.bat
11:00 Launch Stable Diffusion
12:02 How SD works & how to operate it – PART 1
25:11 Controversial discussion about AI image generators like Midjourney
27:56 How SD works & how to operate it – PART 2
30:24 A different approach to concept development in architecture
33:49 AI specialists in architecture
35:10 A “ping pong” between specialists as always
37:12 How SD works & how to operate it – PART 3
51:11 Landscape architects and SD
51:57 How SD works & how to operate it – PART 4
57:39 Upscale & manipulate an image in SD
1:02:25 Showcases
1:05:55 Conclusion
Resources:
Try Stable Diffusion in a web browser:
https://huggingface.co/spaces/stabilityai/stable-diffusion
Install Git:
https://git-scm.com/download/win
Install Python:
https://www.python.org/downloads/release/python-3106/
Stable Diffusion WebUI GitHub link:
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
Download model / checkpoint:
https://cadman.dk/upload/v1-5-pruned-emaonly.ckpt
webui-user.bat edit: Paste the following text at the top and save: “git pull”
Models/checkpoints:
https://civitai.com/
or
https://stable-diffusion-art.com/models
Related videos:
Stable Diffusion + ControlNET in Architecture:
Stable Diffusion + Nvidia Canvas in Architecture:
See my course: Stable Diffusion Masterclass for Architects & ArchViz Artists
https://cadman.dk/stable-diffusion-masterclass-architects-archviz-artists/
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