git-re-basin
stable-diffusion-webui
git-re-basin | stable-diffusion-webui | |
---|---|---|
9 | 2,808 | |
438 | 129,975 | |
- | - | |
3.5 | 9.9 | |
about 1 year ago | 6 days ago | |
Python | Python | |
MIT License | MIT |
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.
git-re-basin
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Merge-Stable-Diffusion-models-without-distortion-gui
Implementation: https://github.com/samuela/git-re-basin
- I'm testing if the 1.5 and 2.0 model combine in Automatic 1111 now...
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I love SD but the pain is real
Wouldn't "applying the permutation" simply swap all the parameters in a model so they match on both models? For example, in https://github.com/samuela/git-re-basin/blob/main/src/cifar10_vgg_weight_matching.py, on line 184 they apply the permutation, and on line 192 they lerp from model A's params to the permuted model B's params. This lerp is basically a weighted sum merge, isn't it? At a lerp of 0.5, it would be somewhere in between model A and the permuted model B.
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Not really working, poorly coded sparse tensor compression of Dreambooth models. Help appreciated, code in comments
Definitely interesting, but you might get something useful out of https://github.com/samuela/git-re-basin ?
- Git Re-Basin: Merging models and preserving latent spaces (ie not the A111 linear interpolation)
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Most Popular AI Research Sept 2022 - Ranked Based On Total GitHub Stars
Git Re-Basin: Merging Models modulo Permutation Symmetries https://github.com/samuela/git-re-basin https://arxiv.org/abs/2209.04836v1
- [D] Most Popular AI Research Sept 2022 - Ranked Based On GitHub Stars
- Git Re-Basin: Merging Models Modulo Permutation Symmetries
stable-diffusion-webui
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Show HN: I made an app to use local AI as daily driver
* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.
- https://diffusionbee.com/
- https://github.com/comfyanonymous/ComfyUI
- https://github.com/AUTOMATIC1111/stable-diffusion-webui
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...
I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.
But again, it would be nice to have first class support to locally participate in the fun.
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Ask HN: What is the state of the art in AI photo enhancement?
In Auto1111, that just uses Image.blend. :)
https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...
- How To Increase Performance Time on MacOS
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Can anyone suggest an AI model that can help me enhance a poorly drawn logo?
I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.
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Seeking out an experienced and empathetic coding buddy.
That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.
- can't get it working with an AMD gpu
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SD extension that allows for setting override
Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094
- Need to write an application to use Stable Diffusion on my desktop PC - which resource should I learn to use?
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4090 Speed Decrease on each Generation/Iteration
version: v1.6.1 • python: 3.10.13 • torch: 2.0.1+cu118 • xformers: 0.0.20 • gradio: 3.41.2 • checkpoint: 6e8d4871f8
What are some alternatives?
VToonify - [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
artbot-for-stable-diffusion - A front-end GUI for interacting with the AI Horde / Stable Diffusion distributed cluster
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
whisper - Robust Speech Recognition via Large-Scale Weak Supervision
SHARK - SHARK - High Performance Machine Learning Distribution
setfit - Efficient few-shot learning with Sentence Transformers
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
Text2Light - [SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
safetensors - Simple, safe way to store and distribute tensors