Ceb Stable Diffusion

by CEB Studios in Addons


Works only on Windows and NVIDIA cards (doenst work with AMD)

If you have problems installing the addon, and you are using some launcher, please try with the ZIP version of blender from blender.org

You will need to have GIT installed, if you dont have, you can install the version from this link: https://git-scm.com/download/win (get the "64-bit Git for Windows Setup.")

This addon lets you use your GPU to locally create those amazing art provided by the code from https://github.com/CompVis/stable-diffusion

Attention: Might not work with GPU with less than 4gb VRAM (for txt2img and img2img functions) and 6gb VRAM (for the inpaint feature).

The Model must be downloaded separately (the addon has a link)

Be sure to have a good bandwith to install this addon. To make use of all the features, you will need to download more than 13GB of data

Tutorial on how to install and use



With this addon you can create amazing art using text, or an image. 

With the result, using the addon you can apply the texture to a material and even upscale it to 4 times the original size


Create image from text



Edit only part of an image using mask and a text prompt (Inpaint tool)



Create a new image based on another image and a text prompt



Upscale the image 4 times its original size



Texture creation workflow


1- Crate an image using text prompt


2 - Make it seamless using the tiling function and the amount of overlap



3 - Preview if the tilling went ok, generating a 2x2 tilled image




4-Apply it directly to you material, selecting the ime texture node and pressim "Set Img" button



And have fun while using it


If you have a problem, suggestion or anything else, get in contact with us:

https://discord.gg/BRuu43Nv2J

$15

Have questions before purchasing?
Login to message

Details
Sales 100+
Rating
2 ratings
Dev Fund Contributor
Published over 2 years ago
Software Version 3.1, 3.2
License Royalty Free
Discover more products like this

image creation bfcm23 ai machine-learning