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README.md
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README.md
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# Stable Diffusion Web UI
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# Web based UI for Stable Diffusion by [sd-webui](https://github.com/sd-webui)
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## [Visit sd-webui's Discord Server](https://discord.gg/gyXNe4NySY) [](https://discord.gg/gyXNe4NySY)
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## Installation instructions for [Windows](/docs/1.installation.md), [Linux](/docs/1.linux-installation.md)
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### Have an **issue**?
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* If the issue involves _a bug_ in **textual-inversion** create the issue on **_[sd-webui/stable-diffusion-webui](https://github.com/sd-webui/stable-diffusion-webui)_**
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* If you want to know how to **activate** or **use** textual-inversion see **_[hlky/sd-enable-textual-inversion](https://github.com/hlky/sd-enable-textual-inversion)_**. Activation not working? create the issue on **_[sd-webui/stable-diffusion-webui](https://github.com/sd-webui/stable-diffusion-webui)_**
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### Want to ask a question or request a feature?
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Come to our [Discord Server](https://discord.gg/gyXNe4NySY) or use [Discussions](https://github.com/sd-webui/stable-diffusion-webui/discussions).
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@ -21,236 +16,30 @@ Come to our [Discord Server](https://discord.gg/gyXNe4NySY) or use [Discussions]
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Check the [Contribution Guide](CONTRIBUTING.md)
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## **Important**
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[sd-webui](https://github.com/sd-webui) is
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*  [hlky](https://github.com/hlky)
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* [ZeroCool940711](https://github.com/ZeroCool940711)
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* [codedealer](https://github.com/codedealer)
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🔥 NEW! webui.cmd updates with any changes in environment.yaml file so the environment will always be up to date as long as you get the new environment.yaml file 🔥
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:fire: no need to remove environment, delete src folder and create again, MUCH simpler! 🔥
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## Gradio
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### Features
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### Screenshots
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## Streamlit
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### Features
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### Screenshots
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--------------
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### Questions about **_[Upscalers](/docs/4.upscalers.md)_**?
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### Questions about **_[Command line options](/docs/2.cli.md)_**?
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--------------
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Features:
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* Gradio GUI: Idiot-proof, fully featured frontend for both txt2img and img2img generation
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* No more manually typing parameters, now all you have to do is write your prompt and adjust sliders
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* GFPGAN Face Correction 🔥: [Download the model](/docs/1.installation.md#optional-additional-models) Automatically correct distorted faces with a built-in GFPGAN option, fixes them in less than half a second
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* RealESRGAN Upscaling 🔥: [Download the models](/docs/1.installation.md#optional-additional-models) Boosts the resolution of images with a built-in RealESRGAN option
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* :computer: esrgan/gfpgan on cpu support :computer:
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* Textual inversion 🔥: [info](https://textual-inversion.github.io/) - requires enabling, see [here](https://github.com/hlky/sd-enable-textual-inversion), script works as usual without it enabled
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* Advanced img2img editor :art: :fire: :art:
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* :fire::fire: Mask and crop :fire::fire:
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* Mask painting (NEW) 🖌️: Powerful tool for re-generating only specific parts of an image you want to change
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* More k_diffusion samplers 🔥🔥 : Far greater quality outputs than the default sampler, less distortion and more accurate
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* txt2img samplers: "DDIM", "PLMS", 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms'
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* img2img samplers: "DDIM", 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms'
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* Loopback (NEW) ➿: Automatically feed the last generated sample back into img2img
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* Prompt Weighting (NEW) 🏋️: Adjust the strength of different terms in your prompt
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* :fire: gpu device selectable with --gpu <id> :fire:
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* Memory Monitoring 🔥: Shows Vram usage and generation time after outputting.
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* Word Seeds 🔥: Use words instead of seed numbers
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* CFG: Classifier free guidance scale, a feature for fine-tuning your output
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* Launcher Automatic 👑🔥 shortcut to load the model, no more typing in Conda
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* Lighter on Vram: 512x512 img2img & txt2img tested working on 6gb
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* and ????
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# Stable Diffusion web UI
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A browser interface based on Gradio library for Stable Diffusion.
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Original script with Gradio UI was written by a kind anonymous user. This is a modification.
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### GFPGAN
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If you want to use GFPGAN to improve generated faces, you need to install it separately.
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Download [GFPGANv1.3.pth](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth) and put it
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into the `/stable-diffusion-webui/src/gfpgan/experiments/pretrained_models` directory.
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### RealESRGAN
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Download [RealESRGAN_x4plus.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth) and [RealESRGAN_x4plus_anime_6B.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth).
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Put them into the `stable-diffusion-webui/src/realesrgan/experiments/pretrained_models` directory.
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### LDSR
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* Download **LDSR** [project.yaml](https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1) and [ model last.cpkt](https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1). Rename last.ckpt to model.ckpt and place both under stable-diffusion-webui/src/latent-diffusion/experiments/pretrained_models/
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### Web UI
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When launching, you may get a very long warning message related to some weights not being used. You may freely ignore it.
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After a while, you will get a message like this:
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```
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Running on local URL: http://127.0.0.1:7860/
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```
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Open the URL in browser, and you are good to go.
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## Features
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The script creates a web UI for Stable Diffusion's txt2img and img2img scripts. Following are features added
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that are not in original script.
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### GFPGAN
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Lets you improve faces in pictures using the GFPGAN model. There is a checkbox in every tab to use GFPGAN at 100%, and
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also a separate tab that just allows you to use GFPGAN on any picture, with a slider that controls how strong the effect is.
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### RealESRGAN
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Lets you double the resolution of generated images. There is a checkbox in every tab to use RealESRGAN, and you can choose between the regular upscaler and the anime version.
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There is also a separate tab for using RealESRGAN on any picture.
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### Sampling method selection
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txt2img samplers: "DDIM", "PLMS", 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms'
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img2img samplers: "DDIM", 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms'
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### Prompt matrix
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Separate multiple prompts using the `|` character, and the system will produce an image for every combination of them.
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For example, if you use `a busy city street in a modern city|illustration|cinematic lighting` prompt, there are four combinations possible (first part of prompt is always kept):
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- `a busy city street in a modern city`
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- `a busy city street in a modern city, illustration`
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- `a busy city street in a modern city, cinematic lighting`
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- `a busy city street in a modern city, illustration, cinematic lighting`
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Four images will be produced, in this order, all with same seed and each with corresponding prompt:
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Another example, this time with 5 prompts and 16 variations:
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If you use this feature, batch count will be ignored, because the number of pictures to produce
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depends on your prompts, but batch size will still work (generating multiple pictures at the
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same time for a small speed boost).
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### Copy-paste generation parameters
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A text output provides generation parameters in an easy to copy-paste form for easy sharing.
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If you generate multiple pictures, the displayed seed will be the seed of the first one.
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### Correct seeds for batches
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If you use a seed of 1000 to generate two batches of two images each, four generated images will have seeds: `1000, 1001, 1002, 1003`.
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Previous versions of the UI would produce `1000, x, 1001, x`, where x is an iamge that can't be generated by any seed.
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### Resizing
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There are three options for resizing input images in img2img mode:
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- Just resize - simply resizes source image to target resolution, resulting in incorrect aspect ratio
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- Crop and resize - resize source image preserving aspect ratio so that entirety of target resolution is occupied by it, and crop parts that stick out
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- Resize and fill - resize source image preserving aspect ratio so that it entirely fits target resolution, and fill empty space by rows/columns from source image
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Example:
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### Loading
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Gradio's loading graphic has a very negative effect on the processing speed of the neural network.
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My RTX 3090 makes images about 10% faster when the tab with gradio is not active. By default, the UI
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now hides loading progress animation and replaces it with static "Loading..." text, which achieves
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the same effect. Use the --no-progressbar-hiding commandline option to revert this and show loading animations.
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### Prompt validation
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Stable Diffusion has a limit for input text length. If your prompt is too long, you will get a
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warning in the text output field, showing which parts of your text were truncated and ignored by the model.
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### Loopback
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A checkbox for img2img allowing to automatically feed output image as input for the next batch. Equivalent to
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saving output image, and replacing input image with it. Batch count setting controls how many iterations of
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this you get.
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Usually, when doing this, you would choose one of many images for the next iteration yourself, so the usefulness
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of this feature may be questionable, but I've managed to get some very nice outputs with it that I wasn't abble
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to get otherwise.
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Example: (cherrypicked result; original picture by anon)
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### --help
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```
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optional arguments:
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-h, --help show this help message and exit
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--ckpt CKPT path to checkpoint of model (default: models/ldm/stable-diffusion-v1/model.ckpt)
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--cli CLI don't launch web server, take Python function kwargs from this file. (default: None)
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--config CONFIG path to config which constructs model (default: configs/stable-diffusion/v1-inference.yaml)
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--defaults DEFAULTS path to configuration file providing UI defaults, uses same format as cli parameter (default:
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configs/webui/webui.yaml)
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--esrgan-cpu run ESRGAN on cpu (default: False)
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--esrgan-gpu ESRGAN_GPU
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run ESRGAN on specific gpu (overrides --gpu) (default: 0)
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--extra-models-cpu run extra models (GFGPAN/ESRGAN) on cpu (default: False)
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--extra-models-gpu run extra models (GFGPAN/ESRGAN) on gpu (default: False)
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--gfpgan-cpu run GFPGAN on cpu (default: False)
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--gfpgan-dir GFPGAN_DIR
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GFPGAN directory (default: ./src/gfpgan)
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--gfpgan-gpu GFPGAN_GPU
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run GFPGAN on specific gpu (overrides --gpu) (default: 0)
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--gpu GPU choose which GPU to use if you have multiple (default: 0)
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--grid-format GRID_FORMAT
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png for lossless png files; jpg:quality for lossy jpeg; webp:quality for lossy webp, or
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webp:-compression for lossless webp (default: jpg:95)
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--inbrowser automatically launch the interface in a new tab on the default browser (default: False)
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--ldsr-dir LDSR_DIR LDSR directory (default: ./src/latent-diffusion)
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--n_rows N_ROWS rows in the grid; use -1 for autodetect and 0 for n_rows to be same as batch_size (default:
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-1) (default: -1)
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--no-half do not switch the model to 16-bit floats (default: False)
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--no-progressbar-hiding
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do not hide progressbar in gradio UI (we hide it because it slows down ML if you have hardware
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accleration in browser) (default: False)
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--no-verify-input do not verify input to check if it's too long (default: False)
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--optimized-turbo alternative optimization mode that does not save as much VRAM but runs siginificantly faster
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(default: False)
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--optimized load the model onto the device piecemeal instead of all at once to reduce VRAM usage at the
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cost of performance (default: False)
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--outdir_img2img [OUTDIR_IMG2IMG]
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dir to write img2img results to (overrides --outdir) (default: None)
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--outdir_imglab [OUTDIR_IMGLAB]
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dir to write imglab results to (overrides --outdir) (default: None)
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--outdir_txt2img [OUTDIR_TXT2IMG]
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dir to write txt2img results to (overrides --outdir) (default: None)
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--outdir [OUTDIR] dir to write results to (default: None)
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--filename_format [FILENAME_FORMAT]
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filenames format (default: None)
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--port PORT choose the port for the gradio webserver to use (default: 7860)
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--precision {full,autocast}
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evaluate at this precision (default: autocast)
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--realesrgan-dir REALESRGAN_DIR
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RealESRGAN directory (default: ./src/realesrgan)
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--realesrgan-model REALESRGAN_MODEL
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Upscaling model for RealESRGAN (default: RealESRGAN_x4plus)
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--save-metadata Store generation parameters in the output png. Drop saved png into Image Lab to read
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parameters (default: False)
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--share-password SHARE_PASSWORD
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Sharing is open by default, use this to set a password. Username: webui (default: None)
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--share Should share your server on gradio.app, this allows you to use the UI from your mobile app
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(default: False)
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--skip-grid do not save a grid, only individual samples. Helpful when evaluating lots of samples (default:
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False)
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--skip-save do not save indiviual samples. For speed measurements. (default: False)
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--no-job-manager Don't use the experimental job manager on top of gradio (default: False)
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--max-jobs MAX_JOBS Maximum number of concurrent 'generate' commands (default: 1)
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--tiling Generate tiling images (default: False)
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```
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-----
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# Stable Diffusion
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*Stable Diffusion was made possible thanks to a collaboration with [Stability AI](https://stability.ai/) and [Runway](https://runwayml.com/) and builds upon our previous work:*
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[**High-Resolution Image Synthesis with Latent Diffusion Models**](https://ommer-lab.com/research/latent-diffusion-models/)<br/>
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With its 860M UNet and 123M text encoder, the model is relatively lightweight and runs on a GPU with at least 10GB VRAM.
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See [this section](#stable-diffusion-v1) below and the [model card](https://huggingface.co/CompVis/stable-diffusion).
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## Stable Diffusion v1
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Stable Diffusion v1 refers to a specific configuration of the model
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architecture that uses a downsampling-factor 8 autoencoder with an 860M UNet
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and CLIP ViT-L/14 text encoder for the diffusion model. The model was pretrained on 256x256 images and
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in its training data.
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Details on the training procedure and data, as well as the intended use of the model can be found in the corresponding [model card](https://huggingface.co/CompVis/stable-diffusion).
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## Comments
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- Our codebase for the diffusion models builds heavily on [OpenAI's ADM codebase](https://github.com/openai/guided-diffusion)
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and [https://github.com/lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch).
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Thanks for open-sourcing!
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@ -293,7 +78,7 @@ Thanks for open-sourcing!
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- The implementation of the transformer encoder is from [x-transformers](https://github.com/lucidrains/x-transformers) by [lucidrains](https://github.com/lucidrains?tab=repositories).
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## BibTeX
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BibTeX
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```
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@misc{rombach2021highresolution,
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