stable-diffusion-webui-ux
stable-diffusion-webui-ux | sd_dreambooth_extension | |
---|---|---|
30 | 115 | |
944 | 1,829 | |
- | - | |
9.9 | 8.7 | |
about 1 month ago | about 2 months ago | |
Python | Python | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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.
stable-diffusion-webui-ux
- Wildly unpredictable faces quality
-
Alternative to Canvas Zoom Extension?
If you're open to trying a fork of auto1111, I'd recommend using the Ui-UX fork of auto1111 by anapnoe. It has a big ui overhaul, one item of which is improved inpainting. Has move, zoom, and full a screen mode. Take a look at the screenshots and see if that seems to fit your need.
-
Better mobile Inpainting from locally hosted Stable Diffusion?
I'd highly recommend using the Ui-UX fork of auto1111 by anapnoe. It is designed with mobile in mind, and has a custom interface for img2img and inpainting.
- SDFX : New UI for Stable Diffusion
- Is there any interest in a mobile companion app to go with automatic1111?
-
AUTOMATIC1111 updated to 1.3.0 version
If you want more than that, the only thing I know of is a fork that needs a fresh install: https://github.com/anapnoe/stable-diffusion-webui-ux
-
What is the text-to-image AI tool?
https://github.com/vladmandic/automatic or https://github.com/anapnoe/stable-diffusion-webui-ux
- What web UI should I go for for SD generation? I currently use Easy Diffusion 2.5, but I’ve been meaning to switch since I just got a GeForce RTX 3070. Any good recommendations?
-
webui.bat closes instantly?
Yes that's the fork I'm using, it's got a great UX, and I much preferred it when it was working!
-
What's your opinion on InvokeAI compared to Automatic1111
Seriously, if anyone wants to use Auto1111 (which supports all the important SD "extras") but are turned off by the clunky interface, try this fork: https://github.com/anapnoe/stable-diffusion-webui-ux. It has a much better UI, runs nearly every Auto1111 extension without issues AND only merges stable commits. If you were already considering InvokeAI (which is in itself a great downscaled SD environment) then try Anapnoe's webui. It's closer to bleeding edge, but without the actual bleeding.
sd_dreambooth_extension
- SDXL Training for Auto1111 is now Working on a 24GB Card
-
(Requesting Help)
I am trying to use StableDiffusion via AUTOMATIC1111 with the Dreambooth extension
-
it will be an absolute madness when sdxl becomes standard model and we start getting other models from it
When I first attempted SD training, I was very frustrated. It wasn't until I found this obscure forum thread on Github that I actually started producing great results with Dreambooth. Because I have such satisfactory results, I'm very reluctant to beat my brains against LoRa and its related training techniques. I gave up trying to train TI embeddings a long time ago. And I never figured out how to train or how to use hypernetworks. I've only been able to get good results with Dreambooth directly because of that thread I linked above. I make LoRas by extracting them from Dreambooth-trained checkpoints. And I have no idea if I'm doing the extractions the right way or not.
-
"Exception training model: ' Some tensors share memory" with Dreambooth on Vladmatic
Getting the same with automatic1111 and sd_dreambooth extension. Check out more here in the issues log: https://github.com/d8ahazard/sd_dreambooth_extension/issues/1266
-
Yo, DreamBooth gatekeepers, SHARE YOUR HYPERPARAMETERS, please.
It's several moths old and many things have changed. But the spreadsheet available through this thread on Github has been indispensable for me when I train Dreambooth models. I'm astounded no one talks about it. I bring it up all the time. The research presented there should be continued. I'd love to see similar research done for SD v2.1.
-
What is the BEST solution for hyper realistic person training?
Training rate is paramount. Read this Github thread.
-
How do you train your LoRAs, 1 Epoch or >1 Epoch (same # of steps)?
https://github.com/d8ahazard/sd_dreambooth_extension/discussions/547/ (in depth training principles understanding)
-
Struggling to install Dreambooth
sd_dreambooth_extension https://github.com/d8ahazard/sd_dreambooth_extension.git main 926ae204 Fri Mar 31 15:12:45 2023 unknown
- Attempting to train a lora with RTX 2060 6 GB vRAM, how to go about this?
-
SD just released an open source version of their GUI called StableStudio
also the Dreambooth extension supports API (https://github.com/d8ahazard/sd_dreambooth_extension/blob/main/scripts/api.py) so i'm not sure where do you get those news :/
What are some alternatives?
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
a1111-nevysha-comfy-ui - A collection of tweak to improve Auto1111 UI//UX [Moved to: https://github.com/Nevysha/Cozy-Nest]
kohya_ss
sd-web-ui-kitchen-theme - 🧿 Kitchen theme for stable diffusion webui [Moved to: https://github.com/canisminor1990/sd-webui-kitchen-theme]
kohya-trainer - Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
Visual Studio Code - Visual Studio Code
dreambooth-training-guide
StableStudio - Community interface for generative AI
sd-scripts