lama
sd-webui-controlnet
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lama | sd-webui-controlnet | |
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17 | 247 | |
7,165 | 15,859 | |
3.7% | - | |
5.4 | 9.7 | |
3 months ago | 5 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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lama
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Can someone please help me with inpainting settings to remove the subject from this image? I want to rebuild as much of the original background as possible.
You could try to use ControlNet inpaint+lama locally, but results aren't as good in my experience. Or you could try local install of lama directly, but the setup process isn't very smooth.
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[D] Which open source models can replicate wonder dynamics's drag'n'drop cg characters?
You may be able to remove the actor with lama. https://github.com/advimman/lama
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ControlNet Update: [1.1.222] Preprocessor: inpaint_only+lama
LaMa: Resolution-robust Large Mask Inpainting with Fourier Convolutions (Apache-2.0 license) Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky (Samsung Research and EPFL)
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[Inpainting] [Q] Want to remove a person/ group of people from an image.
You could try using LaMA: https://github.com/saic-mdal/lama .
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[task] Python developer for two tasks, one 30$ the other 50$
Task 1: 30$ Write a script to prepare data for https://github.com/saic-mdal/lama. You should be able to prove on video that your script works properly after i give you some data and you train and there's some acceptable output (not perfect, since i know how ml works).
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Research Topics for Master/PHD
I have some interest in image inpainting, but the recent paper introduced by Samsung - https://github.com/saic-mdal/lama seems like it reached a stage where there isn't much room that we can add for novelty. I am quite interested but not confident if I can come up with a novel idea that can do better than the proposed model, especially if they trained the model on multiple GPUs for days, which is something that I don't have.
- The Black Hole Photographs: Censored Images from America’s Great Depression
- Image inpainting tool powered by LaMa
- Resolution-Robust Large Mask Inpainting with Fourier Convolutions
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[D] Paper Explained - Resolution-robust Large Mask Inpainting with Fourier Convolutions (w/ Author Interview)
Code: https://github.com/saic-mdal/lama
sd-webui-controlnet
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OpenPose ControlNet: A Beginner's Guide
A crucial step for achieving stable diffusion controlnet settings is the installation of the controlnet extension in Google Colab. Whether on a Windows PC or Mac, installing controlnet is vital for stable diffusion of human pose details. Additionally, updating the controlnet extension is necessary to maintain stability and achieve the desired results in OpenPose model. To install the v1.1 controlnet extension, go to the “extensions” tab and install it from this URL: https://github.com/Mikubill/sd-webui-controlnet. If you already have v1 controlnets installed, delete the folder from stable-diffusion-webui/extensions/. Install the v1.
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StyleAligned node for ComfyUI
1.1.420 Image-wise ControlNet and StyleAlign
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PATCHFUSION is really impressive. High resolution depth maps in 16bit. I've been waiting for this. https://github.com/zhyever/PatchFusion
I opened a request thread on ControlNet GitHub you can give a support : https://github.com/Mikubill/sd-webui-controlnet/issues/2319
- Going to lose my mind at this point with this problem
- Samples of style-aligned
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Is it possible to outpaint with SD or SDXL as easy as with photoshop? (no prompts)
It has been possible for 7 months now
- Reference Only Broken (Can someone with a working Reference Only CN upload there extension folder)
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Web app prototype to create controlnet segmentation maps for Stable Diffusion
I sometimes use a very similar technique in Cinema4d (here is a link to a c4d file with preset materials referencing proper colors for Semantic Segmentation if any other c4d user wants to try it), but yours is a much more accessible solution as it's free and it's accessible online.
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Dalle-3 Examples
There are models available that give you more control - in some senses, at least.
For example, you can use Stable Diffusion with 'ControlNet' [1] where for example, you can input an 'openpose' to choose the pose of people in the scene.
There's also a 'Regional Prompter' [2] which lets you use different prompts for different areas of the image, giving you some control over the composition.
You can also use 'inpainting' to regenerate select parts of your image if, for example, you don't like the shape of the clouds.
Of course this stuff isn't perfect - for example, you'll get hands with the wrong number of fingers sometimes, no matter what you specify :)
[1] https://github.com/Mikubill/sd-webui-controlnet
- ControlNet SDXL for Automatic1111-WebUI official release: sd-webui-controlnet 1.1.400
What are some alternatives?
IOPaint - Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.
openpose-editor - Openpose Editor for AUTOMATIC1111's stable-diffusion-webui
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
T2I-Adapter - T2I-Adapter
cleanup.pictures - Code for https://cleanup.pictures
ControlNet - Let us control diffusion models!
Colab-Crypto-Mining - Cryptocurrency Mining Experiments on Google CoLab Notebooks
stable-diffusion-webui-colab - stable diffusion webui colab
dl-colab-notebooks - Try out deep learning models online on Google Colab
stable-diffusion-webui - Stable Diffusion web UI