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README.md
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- https://github.com/
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# WeShop-UI
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Welcome to Weshop_UI_1.0.0! This software is an open-source solution derived from [WeShop.AI](https://weshop.ai), which specialize in generating images using AI. We've extracted some business/professional functionalities, removed proprietary elements, and are gradually releasing parts of our services to the public. Our goal is to foster innovation and collaboration in AI-powered image creation while maintaining our core business offerings. WeShop UI features multi-task management, and a simple and user-friendly interface, perfect for beginners.
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# Introduction
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Weshop_UI_1.0.0 is an open-source solution that brings some functionalities of weshop.ai to your local operation. Weshop_UI_1.0.0 leverages Stable Diffusion Webui as its core inference engine, enabling you to deploy [WeShop.AI](https://weshop.ai) functionalities locally and generate high-quality AI images without internet or cloud reliance.
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# News
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* 2024.07 We officially launched WeShop UI
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# Open-source Plan
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Currently, we've open sourced web and Electron frontend, changes made for Automatic1111 Stable Diffusion Webui. Our plan regarding key functionalities is listed below:
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- [x] Keep upgrading Webui with the latest one on https://github.com/AUTOMATIC1111/stable-diffusion-webui
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- [x] Open source the front end part of this project
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- [ ] Refactor and open source the backend part of this project. This project uses compiled executables currently.
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- [ ] Support ComfyUI simultaneously.
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- [ ] Support multiple-GPU inference scheduling.
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- [ ] Gradually adapt workflows/features from [WeShop.AI](https://weshop.ai)
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- [ ] More functions to come and feel free to leave you feedbacks!
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# Features
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1. Seamlessly integrated SD WebUI functionalities, supporting SDXL model and SDXL's Controlnet
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2. Enable shared graphics card utilization for enhanced performance
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3. Harness the power of robust task management functionalities
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4. Unlock batch task execution, interrupt capabilities, and execute single tasks on a large scale for unparalleled efficiency
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# How to use WeShop AI Locally
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Click the "Start" button on the bottom right to launch the tool. Depending on the computer's specification, it takes some time to launch.
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This website will pop up after the software is launched. Select the type of task desired to be executed. Currently, functionalities include text-to-image (txt2img) and image-to-image (img2img).
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Select desired parameters for image generations.
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Further refine generations by selecting desired ControlNet and AfterDetailer parameters. Click the "Generate" button on bottom right to start generation process.
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Resulting images will shortly be displayed after generation process is finished. Click "Edit again" button on the top right to adjust parameters or generate again.
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For any bugs encountered, click the "BUG Report" button, then bug info will be sent. Alternatively, you can send feedback from our Github page <https://github.com/weshopai/WeShop-UI>
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# Requirements
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- Windows 7 or above system
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- 8GB VRAM Nvidia GPU
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- 16GB RAM
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# Download
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You can download WeShop UI 1.0.0 from the following sources:
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Huggingface: <https://huggingface.co/WeShopAI/WeShop_UI_1.0.0>
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Steam: in progress
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# Installation & Usage
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Unzip weshop-1.0.0.zip and weshop-model-pack.zip
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Replace weshop/models with weshop-model-pack/models
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Replace weshop/extensions/sd-webui-controlnet/models with weshop-model-pack/extensions/sd-webui-controlnet/models
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Replace weshop/extensions/sd-webui-controlnet/annotator/downloads with weshop-model-pack/extensions/sd-webui-controlnet/annotator/downloads
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Click weshop.exe to launch
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For Steam users, find Weshop_AI in the market, then directly launch the software from Steam.
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# Gallery
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# Acknowledgements
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This project makes use of the following open-source projects:
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<https://github.com/sgreben/http-file-server>: A file server to store necessary local files created
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<https://github.com/pierrre/imageserver>: A file server dedicated to store image files created
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<https://github.com/facebookresearch/segment-anything>: Segment uploaded images to create masks
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<https://github.com/sczhou/CodeFormer>: Upscale images
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