sd-multi
Run multiple forks of Stable Diffusion (by arktronic)
Dreambooth-SD-optimized
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion (by gammagec)
| sd-multi | Dreambooth-SD-optimized | |
|---|---|---|
| 7 | 26 | |
| 24 | 341 | |
| - | - | |
| 2.4 | 1.8 | |
| 10 months ago | over 1 year ago | |
| Python | Jupyter Notebook | |
| The Unlicense | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sd-multi
Posts with mentions or reviews of sd-multi.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-30.
-
sd-multi update: better downloading, ability to switch between SD 1.4 and 1.5, lama-cleaner added
The sd-multi "meta-fork", which allows running multiple Stable Diffusion systems easily from one place via Docker, has been updated with a few cool additions and changes!
-
First full music video with Deforum 0.5 (single render)
It's running on python anyway, so it's somewhat platform agnostic. You can run "it" on a server https://www.ni-sp.com/how-to-run-deforum-stable-diffusion-on-your-own-cloud-gpu-server/ Aws link https://aws.amazon.com/marketplace/pp/prodview-j557wovfkxxbk or dockerize it https://github.com/arktronic/sd-multi
-
The official Deforum script for 2D/3D Stable Diffusion animations is now also an *extension* for AUTOMATIC1111's WebUI, with its own tab and better UX! (but still in beta)
Awesome, that's much more discoverable and convenient than the script! Just updated my meta-fork to include this update 😀
-
sd-multi updates: more forks, included AUTOMATIC1111 scripts, screenshots with cats
A little over a week ago I created sd-multi, a "meta-fork" to make it easier to try out different Stable Diffusion forks/frontends/etc. using either WSL2 or native Linux, with Docker.
- Stable Diffusion links from around October 9, 2022 that I collected for further processing
-
InvokeAI 2.0.0 - A Stable Diffusion Toolkit is released
Whoa, that web UI looks like a huge improvement from the previous one! Nicely done! I'll update my meta-fork to this version soon.
- I made a "meta-fork" for easily trying out different SD forks and switching between them
Dreambooth-SD-optimized
Posts with mentions or reviews of Dreambooth-SD-optimized.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-03.
-
Rtx 4070 Ti which dreambooth could fit
Hey guys im quite new to dream booth i tried the one in stabel diffusion but wasnt really satisfied with the output. Im lloking for a external dreambooth that could be started with anaconda but doesnt need 24 gb Vram i only have 12 Gb. I tried gammagec / Dreambooth-SD-optimizedbut he says you need at least 24 GB
- Best Local SD/Dream Both Combination For Those With 24GB Cards
-
Update 1.7.0 of my Windows SD GUI is out! Supports VAE selection, prompt wildcards, even easier DreamBooth training, and tons of quality-of-life improvements. Details in comments.
Using this GitHub https://github.com/gammagec/Dreambooth-SD-optimized from this guide https://pastebin.com/xcFpp9Mr
-
Questions about training parameters.
I had pretty good results with 20 images of myself, 200 reg images and 6000 step using https://github.com/gammagec/Dreambooth-SD-optimized.
- [Dreambooth] I changed something about the way Dreambooth training works. Tell me what you think, please.
-
First full music video with Deforum 0.5 (single render)
I use Automatic1111 for SD and then Dreambooth Optimized https://github.com/gammagec/Dreambooth-SD-optimized to do custom models.
-
How to increase the value of the num_workers?
Gammagec Dreambooth-SD-optimized - https://github.com/gammagec/Dreambooth-SD-optimized
- [Guide] DreamBooth Training with ShivamShrirao's Repo on Windows Locally
-
Looking to replicate these kind of effects in stable diffusion. Anyone know what prompts/techniques would be involved? I'd guess they used img2img + ebsynth?
I use this dreambooth repo to train the SD model. https://github.com/gammagec/Dreambooth-SD-optimized Here's the video that shows how to install it in very good detail. https://youtu.be/TwhqmkzdH3s He uses it to train in a face but you can use it to train in a style as well. I suggest taking about 15 or 20 detailed frames of the video and training it in as a style for the class name. You'll have to experiment with how many training steps to take. I suggest doing 1,000 steps at a time and testing out the model. Also don't leave the default "sks", the researchers forgot that that's a common acronym if you know what I mean. Do something like my_style1 so the model doesn't get confused with something else.
-
Fewer steps produce more clear images
I'm using this guide: https://www.reddit.com/r/StableDiffusion/comments/xpoexy/yet_another_dreambooth_post_how_to_train_an_image/ to train locally with this repo https://github.com/gammagec/Dreambooth-SD-optimized on windows. Needs a 24gb card though.