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103 lines
4.2 KiB
Markdown
103 lines
4.2 KiB
Markdown
# 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 anonymopus user. This is a modification.
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## Installing and running
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### Stable Diffusion
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This script assumes that you already have main Stable Diffusion sutff installed, assumed to be in directory `/sd`.
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If you don't have it installed, follow the guide:
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- https://rentry.org/kretard
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This repository's `webgui.py` is a replacement for `kdiff.py` from the guide.
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Particularly, following files must exist:
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- `/sd/configs/stable-diffusion/v1-inference.yaml`
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- `/sd/models/ldm/stable-diffusion-v1/model.ckpt`
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- `/sd/ldm/util.py`
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- `/sd/k_diffusion/__init__.py`
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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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Follow instructions from https://github.com/TencentARC/GFPGAN, but when cloning it, do so into Stable Diffusion main directory, `/sd`.
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After that 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 `/sd/GFPGAN/experiments/pretrained_models` directory. If you're getting troubles with GFPGAN support, follow instructions
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from the GFPGAN's repository until `inference_gfpgan.py` script works.
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The following files must exist:
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- `/sd/GFPGAN/inference_gfpgan.py`
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- `/sd/GFPGAN/experiments/pretrained_models/GFPGANv1.3.pth`
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If the GFPGAN directory does not exist, you will not get the option to use GFPGAN in the UI. If it does exist, you will either be able
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to use it, or there will be a message in console with an error related to GFPGAN.
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### Web UI
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Run the script as:
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`python webui.py`
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When running the script, you must be in the main Stable Diffusion directory, `/sd`. If you cloned this repository into a subdirectory
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of `/sd`, say, the `stable-diffusion-webui` directory, you will run it as:
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`python stable-diffusion-webui/webui.py`
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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 strongthe effect is.
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### Sampling method selection
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Pick out of three sampling methods for txt2img: DDIM, PLMS, k-diffusion:
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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 house in a field of grass|at dawn|illustration` prompt, there are four combinations possible (first part of prompt is always kept):
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- `a house in a field of grass`
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- `a house in a field of grass, at dawn`
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- `a house in a field of grass, illustration`
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- `a house in a field of grass, at dawn, illustration`
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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, (text added manually):
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### Flagging
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Click the Flag button under the output section, and generated images will be saved to `log/images` directory, and generation parameters
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will be appended to a csv file `log/log.csv` in the `/sd` directory.
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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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### 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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