Auto-Photoshop-StableDiffusion-Plugin VS sd-webui-lobe-theme

Btw, there's already an open source way to do this

https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiff...

Also, if your only goal is to generate images, don't bother with Unreal Engine. Blender + Photoshop + a UI for Stable Diffusion are all you need. And talking about Photoshop, I absolutely recommend the Auto Photoshop SD plugin. It is the most complete implementation of SD in Photoshop, but it is in active development and, unfortunately, the documentation is lacking, but as of version 1.2.5 everything works fine, you just need to be persistent enough to make it work via trial and error.

😁 Personally, I hope that Auto-Photoshop-StableDiffusion-Plugin make this available in their plug very soon ... 😋

I didn't try this but there is a plugin for PS: https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin

Heres my whole delema lol - Github

No worries let me know if you have any trouble. For the photoshop integration its pretty simple just 1 click installer and then set up the relevant stuff.

Check out https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin if you didn't already.

upscayl is very approachable, but lacked many features i needed. i ended up using https://github.com/AUTOMATIC1111/stable-diffusion-webui after upscaling became part of my regular workflow, but for someone who just needs a few images enhanced, it's an ideal tool.

For the Git alternative, simply right-click on the location you want to put the Stable Diffusion and select “Git Bash Here”, then paste this on the CLI: git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui

ComfyUI is similar to Houdini in complexity, but immensely powerful. It's a joy to use.

There are also a large amount of resources available for it on YouTube, GitHub (https://github.com/comfyanonymous/ComfyUI_examples), reddit (https://old.reddit.com/r/comfyui), CivitAI, Comfy Workflows (https://comfyworkflows.com/), and OpenArt Flow (https://openart.ai/workflows/).

I still use AUTO1111 (https://github.com/AUTOMATIC1111/stable-diffusion-webui) and the recently released and heavily modified fork of AUTO1111 called Forge (https://github.com/lllyasviel/stable-diffusion-webui-forge).

Seems like an interesting project. Regarding the name, is there permission to use something so similar to AUTOMATIC1111 [1]?

> Diffusers will Cuda out of memory/perform very slowly for huge generations, like 2048x2048 images, while Auto 1111 SDK won't.

Do we have some numbers on this? I have seen AUTOMATIC1111 fall-over whilst using only half the available of GPU VRAM - there seems to be some weirdness where it tries to allocate before de-allocating the last batch or something.

> You can use any of the 6 compatible RealEsrgran models/weights with our RealEsrgran pipeline for upscaling images. Here are the model ids:

I've previously had trouble trying to use AUTOMATIC1111 upscalers, it seems like it needs more GPU VRAM than just generating the image already upscaled.

[1] https://github.com/AUTOMATIC1111/stable-diffusion-webui

You might be thinking of Fooocus: https://github.com/lllyasviel/Fooocus

The Stable Diffusion web interface that got a lot of people's attention originally was Automatic1111: https://github.com/AUTOMATIC1111/stable-diffusion-webui

Fooocus is definitely more beginner friendly. It does a lot of the prompt engineering for you. Automatic1111 has a ton of plugins, most notably ControlNet which gives you fine grained control over the images, but there is a learning curve.

Stable Diffusion https://github.com/AUTOMATIC1111/stable-diffusion-webui

Make it into a stable diffusion server!

There's no link version, you have to run it locally. You install it from here

Repository: AUTOMATIC1111/stable-diffusion-webui · Tag: v1.7.0-RC · Commit: 48fae7c · Released by: AUTOMATIC1111