stable-diffusion-webui
Stable-textual-inversion_win | stable-diffusion-webui | |
---|---|---|
15 | 104 | |
240 | 5,487 | |
- | - | |
10.0 | 10.0 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Python | |
MIT License | GNU Affero General Public License v3.0 |
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-textual-inversion_win
-
Using DreamBooth on SD on a 3090 w/24gb VRAM (about 1.5 hrs to train)
Would it be possible for you to add this new code in the "regular" textual inversion code? like in this one : https://github.com/nicolai256/Stable-textual-inversion_win - I'm using a 3090, batch size of 3, workers 10, size 384 - works pretty good but if your modification could reduce the VRAM, it could go faster.
-
Question About Running Local Textual Inversion
Rinongal and nicolai256 versions, the latter of which is also the one explained in Nerdy Rodent's youtube video https://www.youtube.com/watch?v=WsDykBTjo20, work but they also have an issue of lacking editability in comparison to one made by huggingface's collab which is followed up in a very long issue on Rinongal's Github. You can add accumulate_grad_batches: 4 to the end of the finetune files like shown in Nerdy Rodent's video at this time stamp to try to alleviate this issue, but the quality isn't as good as one made in the online collab.
- NMKD Stable Diffusion GUI 1.4.0 is here! Now with support for inpainting, HuggingFace concepts, VRAM optimizations, and the model no longer needs to be reloaded for every prompt. Full changelog in comments!
- Useful link
-
I like Disco Elysium so have been trying some Textual Inversion training + some internal prompt business to replicate the look of the portraits.
the prompt for this one was "a portrait of beautiful young \, painting by Michael Garmash and Kilian Eng, in the style of &",* after training * with pictures of my GF and & with all the Disco Elysium portrait pictures. using the stuff here: https://github.com/nicolai256/Stable-textual-inversion_win, also, thank you u/ExponentialCookie.
- My Stable Diffusion GUI update 1.3.0 is out now! Includes optimizedSD code, upscaling and face restoration, seamless mode, and a ton of fixes!
-
Textual Inversion Help
Here is an alternate fork of the repo you talked about: https://github.com/nicolai256/Stable-textual-inversion_win
-
Is there any info on how to finetune without using textual inversion?
From my understanding the only finetuning people are doing currently is using textual inversion (this https://github.com/nicolai256/Stable-textual-inversion_win/ and this https://www.reddit.com/r/StableDiffusion/comments/wvzr7s/tutorial_fine_tuning_stable_diffusion_using_only/), but this seems very different from the real finetuning Emad was talking about, and what others (like NovelAI) are doing?
-
A user did an Arvalis / RJ Palmer fine-tune (textual inversion)
Cred. to florishdiffusion for showing these gens. I'm not knowledgeable on how to use text inversion but it is possible to do in Free Colab from this source
-
Self Portrait, using SD and textual inversion trained on images of myself
what is your --init_word? also what is your prompt for generation? i have doing person training for 6 day and not getting a good results damn! i use https://github.com/nicolai256/Stable-textual-inversion_win
stable-diffusion-webui
-
[Stable Diffusion] Je suis confus Aide? - Comment utilisez-vous LDSR avec SD-Webui?
[https://github.com/sd-webui/stable-diffusion-webui/wiki/installation de numéro(https://github.com/sd-webui/stable-diffusion-webui/wiki/installation)
-
[Stable Diffusion] Quelle est la meilleure interface graphique à installer sur Windows?
https://github.com/sd-webui/stable-diffusion-webui (prend beaucoup à installer)
- Daily General Discussion - October 21, 2022
-
Most popular IA to animate?
you can "animate" with stable diffusion usining text to video https://github.com/nateraw/stable-diffusion-videos or https://github.com/sd-webui/stable-diffusion-webui
-
Automatic1111 removed from pinned guide.
I mentioned Automatic1111 on SD-WEBUI and they deleted the comment. I guess this is why. My installation failed on SD-WEBUI and there was no solution for me. I suspect that's why Automatic1111's fork is so popular. He went above and beyond to make sure people with 1660ti's could run SD flawlessly with all the different tools available.
-
.pt to .ckpt
Any way to convert a .pt model to a .ckpt model? Stable-diffusion-webui only seems to support the second type of file but just renaming them does not work:
-
Flooded district by AI
This is Stable-Diffusion. Here is a UI version https://github.com/sd-webui/stable-diffusion-webui
-
AI image generated using the prompt "Streets of Dunwall"
I dunno about the app. I use this https://github.com/sd-webui/stable-diffusion-webui it's very resource hungry though.
-
NMKD Stable Diffusion GUI 1.5.0 is out! Now with exclusion words, CodeFormer face restoration, model merging and pruning tool, even lower VRAM requirements (4 GB), and a ton of quality-of-life improvements. Details in comments.
Haven't tried this GUI yet. Can anyone chime in about how it compares to Automatic1111's and sd-webui/HLKY's? There are so many good repos out there that it's getting hard to keep track of them all
-
Someone just joined 11 GPUs to the Stable Horde. I just tested: 20 gens @ 1024x1024x50 in 2 minutes! All for free!
Maybe those who joined were not aware that they joined the horde :-)
What are some alternatives?
stable-diffusion
diffusers-uncensored - Uncensored fork of diffusers
textual_inversion
onnx - Open standard for machine learning interoperability
stable-diffusion - A latent text-to-image diffusion model
stable-diffusion-webui - Stable Diffusion web UI
sd-enable-textual-inversion - Copy these files to your stable-diffusion to enable text-inversion
rocm-build - build scripts for ROCm
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
waifu-diffusion - stable diffusion finetuned on weeb stuff