stable-diffusion-webui
Stable-textual-inversion_win | stable-diffusion-webui | |
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15 | 75 | |
240 | 2,208 | |
- | - | |
10.0 | 9.8 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Python | |
MIT License | GNU Affero General Public License v3.0 |
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Stable-textual-inversion_win
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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.
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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
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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!
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Textual Inversion Help
Here is an alternate fork of the repo you talked about: https://github.com/nicolai256/Stable-textual-inversion_win
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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?
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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
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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
- [Stablediffusion] Interface utilisateur Web Diffusion stable
- Generating game concept art
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../../workspace/imgs/txt2img
I am using this one : https://github.com/hlky/stable-diffusion-webui
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How to generate a similar images to an input image *without* a prompt?
Not sure about the script but you can try using this web-ui's img2img tab.
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Enhancing local detail and cohesion by mosaicing
https://github.com/hlky/stable-diffusion-webui now redirects to /sd-webui/stable-diffusion-webui, as though they're the "true" sd-webui.
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reintalled new Hlky update & img2img returns errors (not just where you have to click on mask & back on crop)
As an update, in case anyone else has the issue, after getting some help (thanks u/vedroboev) I installed from here not sure what the difference is, but I got it working.
- Is anyone else unable to use the site?
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Fixing SD images with img2img, am I misunderstanding the concept?
I would pick a version on the github from 8/31 in the stable diffusion repo and then follow step 2a in this guide https://rentry.org/GUItard to transfer the files from this https://github.com/hlky/stable-diffusion-webui/tree/96aba4b36d59803f3817ee60e96a097f54962ae4
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Can't seem to get img2img up and running
This is a bug with the newest UI version. See this.
- Stable Diffusion Img2Img Help
What are some alternatives?
stable-diffusion
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
textual_inversion
onnx - Open standard for machine learning interoperability
stable-diffusion - A latent text-to-image diffusion model
waifu-diffusion - stable diffusion finetuned on weeb stuff
sd-enable-textual-inversion - Copy these files to your stable-diffusion to enable text-inversion
diffusers-uncensored - Uncensored fork of diffusers
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
txt2imghd - A port of GOBIG for Stable Diffusion
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
taming-transformers - Taming Transformers for High-Resolution Image Synthesis