roomGPT VS ControlNet

Hey guys!I've been working on a GPT powered microsaas for the last weeks and I think I've figured out the product part, how to generate using the api etc. Now I need to build the "shell”, the website itself and I’d love any help I can get.My two biggest hurdles are how to funnel people to the app. As it’s GPT based I can’t really offer unlimited demos. I’ve been thinking about an approach similar to https://www.roomgpt.io/ where it goes like:

That's about it. I haven't coded in months and have forgotten lots****. Tried following a youtube SaaS tutorial but it was way too technical and used libraries I found unnecessary (video in question https://youtu.be/ucX2zXAZ1I0?si=BqlkvCbjF9GhMy4i), I want to push this out as quickly as posssible. Think it as a version of https://www.roomgpt.io/ but with PDF + prompt = response.

The first time I realized the value in small, but creative demos was when I saw Lizzie Siegle do a presentation about Twilio. In her demo, she calls and messages people in the audience, then they get “rick rolled.” Out of all the talks and demos that day, Lizzie’s demonstration stood out. Here are a few developer advocates who I believe are also great at producing creative demos: Colby Fayock, Salma Alam-Naylor, and Hassan El Mghari. One of Hassan’s most popular demos is RoomGPT, which uses AI to redesign rooms.

https://gitlab.com/hyperlink-academy/app https://github.com/highlight/highlight https://github.com/calcom/cal.com https://github.com/Nutlope/roomGPT

Try this

Somebody already came up with this ;) https://www.roomgpt.io/

roomGPT

Basically, generative image, 3D and video AI are at the cusp of being able to do things like customizing house interiors based on commands from a house buyer. Here's one such example: https://www.roomgpt.io/

It's a little funky, but www.roomgpt.io is fun for these types of challenges. Take a picture, give it the theme, and it shows you some new options using wizardry.

It`s all possible. Have a look into Automatic1111`s Web UI, ControlNet, OpenPose and, if you don`t have a dedicated GPU with at least 8GB of VRAM, or at least 16GB of RAM to use the CPU, you can also use Stable Horde to use the webUI with a peer-to-peer connection, where you`ll only use a fraction of your resources, but you`ll be able to use local AI models with all the bells and whistles that you won`t get from "state-of-the-art" paid services.

Next up is ControlNet. Controlnet, as Illyasviel--creator of controlnet--describes it, "let's us control diffusion models!." ControlNet is a neural network structure to control diffusion models by adding extra connections. [8]. There is more to that than what I described, but the big take-away is that ControlNet takes a preprocessed image that you provide (or is generated) and uses that as a way of constraining the output the sampler's noise generates, allowing you to have a bit more control of the output. ControlNet is typically used for character or scene "artwork", which previously would have been a challenge with just prompting alone (at least with this current architecture).

For your first part of the comment, I can simply refer you to technologies like ControlNet, LoRA and prompt embedding: https://github.com/lllyasviel/ControlNet https://github.com/microsoft/LoRA

Here you can see what every controlnet preprocessor and model do, to give you an idea of ​​how to use

Ya, it takes awhile to really start getting comfortable with the wonkiness. If you are trying to do something specific, look for a LoRA, but in general I'd recommend you get controlnet so you can feed it a reference image. Another simple trick is to edit the image a bit in GIMP or a photo editor to get the color scheme you like and then feed it back to img2img at low denoising (0.1-0.2) to refine it. You can also add just garishly bad cartoon drawing or photoshop in assets and img2img will usually make something of them and blend them into your image, I find this easier than using img2img scribble.

If there are no errors, go to the "Extensions" tab, then "Install from URL". There, enter "https://github.com/lllyasviel/ControlNet" then click "Install".

This is a good place to start reading. Given the open-source nature of SD, there are setups of various difficulty available. A1111 is the "standard" people enjoy because it's easy to plug in new stuff (ControlNet, new models, etc.), but it's not inherently easy to set up and get going. There is an installer for it, but I haven't tried it.