paper2gui
Dreambooth-Stable-Diffusion
paper2gui | Dreambooth-Stable-Diffusion | |
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1 | 47 | |
9,575 | 7,383 | |
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0.0 | 0.0 | |
10 months ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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paper2gui
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I made the anime super-resolution software RealESGAN-GUI in pure memory mode
Download: https://github.com/Baiyuetribe/paper2gui
Dreambooth-Stable-Diffusion
- Where can I train my own LoRA?
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I am having an error with ControlNet (RuntimeError: CUDA error: CUBLAS_STATUS_ALLOC_FAILED when calling `cublasCreate(handle)`)
I did search online for an answer, but I am a PC noob, I didn't know what to do when I found this solution in this link: https://github.com/XavierXiao/Dreambooth-Stable-Diffusion/issues/113
- True to life photorealism v2
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How can to create a custom image generation model?
Do you know some projects or guided tutorials that could help me? How many drawings with the desired style I should then have to give to train the AI model? I found Dreambooth on Stable Diffusion but it seams to be for another use case.
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How to Make Your Own Anime (Linux/Mac Tutorial follow along)
This seems to be an issue with the code and or the environment itself. There is an open bug for this where some suggestions are p provided by others on how to fix. https://github.com/XavierXiao/Dreambooth-Stable-Diffusion/issues/47
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AI generated portraits of Myself as different classes: Looking for opinion!
Could you provide some more detail on how this works? Did you just use this GitHub repository or did you put together your own implementation?
- Looking for an AI model to transform a video of me (full body) into an animated avatar. Does something like this exist?
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Ray Liotta as Tommy Vercetti from GTA Vice City
I think the best way to do this would be to train Dreambooth on a number of photos of Ray Liotta first, and use Stable Diffusion instead. https://github.com/XavierXiao/Dreambooth-Stable-Diffusion
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Luddites don't have a issue with AI, just that it "steals" from them (it doesn't). But they also have a issue with using your own child's drawings as a reference.
Dreambooth. There are other ways, but that is the gold standard. It takes even more Vram than regular stable diffusion, so if you don't have a very beefy card (e.g. 4090 with 25 GB VRAM) various websites let you do it onlin for a small fee. You then download a new model that has all the old stuff (e.g.the 4 gigabyte SD 1.5 file) plus your new images. Like I said, there are other ways that are easier, but when people show great results they are usually talking about Dreambooth.
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Bunch of misinformation being spread in this thread
THE CODE (unofficial implementation, for the exact wording stating how little images you need read the paper) is designed with extremely little data in mind. I don't know how else to phrase it dude, do you think the training is a magic black box that runs with snail neurons? If you train a dreambooth model the jupyter ide makes calls to python files, those are the files. That is the code
What are some alternatives?
flowframes - Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
sd-tagtool - A stable diffusion training dataset tag editor.
stable-diffusion-webui - Stable Diffusion web UI
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
SHARK - SHARK - High Performance Machine Learning Distribution
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
StableTuner - Finetuning SD in style.
Dreambooth-SD-optimized - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
stablediffusion - High-Resolution Image Synthesis with Latent Diffusion Models
sd-enable-textual-inversion - Copy these files to your stable-diffusion to enable text-inversion
fast-stable-diffusion - fast-stable-diffusion + DreamBooth