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@@ -5,73 +5,17 @@ A browser interface based on Gradio library for Stable Diffusion.
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Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) wiki page for extra scripts developed by users.
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Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) wiki page for extra scripts developed by users.
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-## Features
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-[Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
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-- Original txt2img and img2img modes
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-- One click install and run script (but you still must install python and git)
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-- Outpainting
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-- Inpainting
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-- Prompt Matrix
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-- Stable Diffusion Upscale
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-- Attention, specify parts of text that the model should pay more attention to
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- - a man in a ((tuxedo)) - will pay more attention to tuxedo
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- - a man in a (tuxedo:1.21) - alternative syntax
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- - select text and press ctrl+up or ctrl+down to automatically adjust attention to selected text (code contributed by anonymous user)
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-- Loopback, run img2img processing multiple times
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-- X/Y plot, a way to draw a 2 dimensional plot of images with different parameters
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-- Textual Inversion
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- - have as many embeddings as you want and use any names you like for them
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- - use multiple embeddings with different numbers of vectors per token
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- - works with half precision floating point numbers
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-- Extras tab with:
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- - GFPGAN, neural network that fixes faces
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- - CodeFormer, face restoration tool as an alternative to GFPGAN
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- - RealESRGAN, neural network upscaler
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- - ESRGAN, neural network upscaler with a lot of third party models
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- - SwinIR and Swin2SR([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers
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- - LDSR, Latent diffusion super resolution upscaling
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-- Resizing aspect ratio options
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-- Sampling method selection
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- - Adjust sampler eta values (noise multiplier)
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- - More advanced noise setting options
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-- Interrupt processing at any time
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-- 4GB video card support (also reports of 2GB working)
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-- Correct seeds for batches
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-- Prompt length validation
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- - get length of prompt in tokens as you type
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- - get a warning after generation if some text was truncated
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-- Generation parameters
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- - parameters you used to generate images are saved with that image
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- - in PNG chunks for PNG, in EXIF for JPEG
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- - can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI
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- - can be disabled in settings
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-- Settings page
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-- Running arbitrary python code from UI (must run with --allow-code to enable)
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-- Mouseover hints for most UI elements
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-- Possible to change defaults/mix/max/step values for UI elements via text config
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-- Random artist button
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-- Tiling support, a checkbox to create images that can be tiled like textures
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-- Progress bar and live image generation preview
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-- Negative prompt, an extra text field that allows you to list what you don't want to see in generated image
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-- Styles, a way to save part of prompt and easily apply them via dropdown later
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-- Variations, a way to generate same image but with tiny differences
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-- Seed resizing, a way to generate same image but at slightly different resolution
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-- CLIP interrogator, a button that tries to guess prompt from an image
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-- Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway
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-- Batch Processing, process a group of files using img2img
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-- Img2img Alternative
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-- Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions
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-- Reloading checkpoints on the fly
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-- Checkpoint Merger, a tab that allows you to merge two checkpoints into one
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-- [Custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community
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-- [Composable-Diffusion](https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/), a way to use multiple prompts at once
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- - separate prompts using uppercase `AND`
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- - also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2`
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-- No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
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-- DeepDanbooru integration, creates danbooru style tags for anime prompts (add --deepdanbooru to commandline args)
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-- [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add --xformers to commandline args)
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-
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## Installation and Running
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## Installation and Running
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+
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+* linux
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+* Nvidia GPU
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+* python3
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+* git
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+
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+git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git.
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+
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+下载模型文件(.ckpt): https://huggingface.co/CompVis/stable-diffusion-v-1-4-original 移动到 models/Stable-diffusion
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+
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Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
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Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
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Alternatively, use Google Colab:
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Alternatively, use Google Colab:
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