sd-enable-textual-inversion
Stable-textual-inversion_win | sd-enable-textual-inversion | |
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15 | 26 | |
240 | 744 | |
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10.0 | 6.5 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Python | |
MIT License | - |
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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
sd-enable-textual-inversion
- Stable Diffusion links from around September 11, 2022 that I collected for further processing
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aiART genertion from an image database.
Yes, what you’re describing can be done using textual inversion.
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Did GoogleAI Just Snooker One of Silicon Valley’s Sharpest Minds?
https://github.com/hlky/sd-enable-textual-inversion
It creates a representation of an entity and allows rending it in different styles and contexts. Currently it involves model fine tuning, but I expect it will become convenient as the power of the operation becomes clear. And once it's convenient, you'll be able to do the progressive queries you're asking for (and it'll be a lot easier to create narratively coherent sets of images.)
- My findings using Textual Inversion for Stable Diffusion
- Question: Does anyone know if it is possible to generate the same image but in different views (like left view, top view, close-up etc) ?
- Could someone make a GUI Textual inversion guide for noobs?
- Useful link
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Teach new concepts to Stable Diffusion with 3-5 images only - and browse a library of learned concepts to use
A branch to add it to SD (which I think the original now has): https://github.com/hlky/sd-enable-textual-inversion
- Further training of stable diffusion
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I don't know anything about python or programming. How can I easily create a .pt file for use with embedding, to generate content based on trained image?
Hey now, there's still an option out there, this Colab notebook, it's able to run on the free tier of Colab. By default, it runs for about 2 hours per embed, and the files made can be used both in the notebook, and on Hlky's front-end, after enabling it, and setting to full precision.
What are some alternatives?
stable-diffusion
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
textual_inversion
stable-diffusion - A latent text-to-image diffusion model
stable-diffusion-webui - Stable Diffusion web UI
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
stable-diffusion
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
stable-diffusion - This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI]
stable-diffusion
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]