Control AI Architecture with ControlNet
Тәжірибелік нұсқаулар және стиль
In this video we take a closer look at ControlNet. Architects and designers are seeking better control over the output of their AI generated images, and this neural network process provides a way to do that.
The process uses a variety of techniques to lock the image composition allowing you to apply your prompt directly to the subject or geometry within your image. Some of techniques it uses to achieve this are Canny Edges, which track either prominent or distinct edges in your image, or depth maps which qualify spatial attributes to your image.
Stable Diffusion ControlNet:
stablediffusionweb.com/Contro...
ControlNet Scribble:
replicate.com/jagilley/contro...
Scribble Diffusion:
scribblediffusion.com/
00:00 - Intro
00:34 - Stable Diffusion (ControlNet)
02:43 - ControlNet Scribble
05:57 - Scribble Diffusion
10:08 - Final Thoughts
#controlnet #artificialintelligence #architecture
Пікірлер: 17
Thank you Stephen for these wonderfully informative videos you put together 🙏🏽
@StephenCoorlas
Жыл бұрын
My pleasure! Thanks for your support 🤘🏼
Wow! 👍👍👏👏 You're the man. I'm so happy to see the Scribble Diffusion option. Is it part or separate from the ControlNet app?
@StephenCoorlas
Жыл бұрын
Thank you! Scribble Diffusion is separate, I have links in the video description to each app/website. I do believe scribble Diffusion uses ControlNet behind the scenes to lock the image geometry as well.
That's great! I love AI, I know there is alot of criticism but there is no doubt at all that AI is only going forward, there is no turning back now & it is probably going to be a part of our everyday lives in the very near future
@StephenCoorlas
Жыл бұрын
I agree. I believe it’s better to embrace it and be productive about finding ways to responsibly integrate it within our professional and personal lives 🤘🏼
Thank Stephen , can we turn sketchup image in ( black and white ) to Stable Diffusion and Prompt to make the Rendering of those Image in S.D .Please tell me how's work .many Thanks
@StephenCoorlas
Жыл бұрын
Yes you can, simply export your SketchUp image and upload it to Stable Diffusion’s ControlNet 🤘🏼
Nice. Is there solution to upload rendered user's 3d model with complete materialization or studio photography and then change environments like rooms setups like in Vray, Corona etc ?
@StephenCoorlas
Жыл бұрын
I've been in discussion with someone developing a process/software like that, but I'm not aware of anything that comprehensive that exists right now.
Hi Steven, Thanks for making these awesome videos. Could you please make videos about how to train Stable Diffusion models on architectural images? And also give us info about which SD models work better for generating architectural images? Thanks a lot brother.
@StephenCoorlas
11 ай бұрын
Hey - I haven't actually trained any SD models myself. I've been hesitant because I know of several companies who are developing programs/software that will make it even easier to train models by uploading your own image sets and assigning labels/attributes to the different images. I will be doing a video on that program hopefully shortly. Thanks for your support!
@MyAI6659
11 ай бұрын
@@StephenCoorlas That's great news, Thank you so much. 😘
You would probably get better results, if you trained an image on a few dozen existing images first. I mean the stable diffusion base model is quite bad anyway. But with a few rounds of lora training it can be just as good if not better than some of the other tools.
@StephenCoorlas
Жыл бұрын
Thanks I'll need to look into that!
Can you do a video ai floor plan generator. Thank you 😊
@StephenCoorlas
Жыл бұрын
Hey - Yeah I'll be getting into some more real applications of these technologies in my practice. Thanks for tuning in!