added config files
parent
ff6cc394cb
commit
fb68c0ab06
@ -1,35 +1,12 @@
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__pycache__
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*.ckpt
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*.safetensors
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*.pth
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/ESRGAN/*
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/SwinIR/*
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/repositories
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/venv
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/tmp
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/model.ckpt
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/models/**/*
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/GFPGANv1.3.pth
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/gfpgan/weights/*.pth
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/ui-config.json
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/outputs
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/config.json
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/log
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/webui.settings.bat
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/embeddings
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/styles.csv
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/params.txt
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/styles.csv.bak
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/webui-user.bat
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/webui-user.sh
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/interrogate
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/user.css
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/.idea
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notification.mp3
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/SwinIR
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/textual_inversion
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.vscode
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/extensions
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/test/stdout.txt
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/test/stderr.txt
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/cache.json
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@ -1,161 +0,0 @@
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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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## 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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- Color Sketch
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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/Z plot, a way to draw a 3 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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- train embeddings on 8GB (also reports of 6GB working)
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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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- Live prompt token length validation
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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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- drag and drop an image/text-parameters to promptbox
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- Read Generation Parameters Button, loads parameters in promptbox to UI
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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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- 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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- Can use a separate neural network to produce previews with almost none VRAM or compute requirement
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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, reverse Euler method of cross attention control
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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 up to 3 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
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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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- via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
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- Generate forever option
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- Training tab
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- hypernetworks and embeddings options
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- Preprocessing images: cropping, mirroring, autotagging using BLIP or deepdanbooru (for anime)
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- Clip skip
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- Hypernetworks
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- Loras (same as Hypernetworks but more pretty)
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- A sparate UI where you can choose, with preview, which embeddings, hypernetworks or Loras to add to your prompt
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- Can select to load a different VAE from settings screen
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- Estimated completion time in progress bar
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- API
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- Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML
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- via extension: [Aesthetic Gradients](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embeds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
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- [Stable Diffusion 2.0](https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions
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- [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions
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- Now without any bad letters!
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- Load checkpoints in safetensors format
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- Eased resolution restriction: generated image's domension must be a multiple of 8 rather than 64
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- Now with a license!
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- Reorder elements in the UI from settings screen
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## Installation and Running
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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 online services (like Google Colab):
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- [List of Online Services](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services)
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### Automatic Installation on Windows
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1. Install [Python 3.10.6](https://www.python.org/downloads/windows/), checking "Add Python to PATH".
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2. Install [git](https://git-scm.com/download/win).
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3. Download the stable-diffusion-webui repository, for example by running `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.
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4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
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### Automatic Installation on Linux
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1. Install the dependencies:
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```bash
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# Debian-based:
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sudo apt install wget git python3 python3-venv
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# Red Hat-based:
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sudo dnf install wget git python3
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# Arch-based:
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sudo pacman -S wget git python3
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```
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2. To install in `/home/$(whoami)/stable-diffusion-webui/`, run:
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```bash
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bash <(wget -qO- https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh)
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```
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3. Run `webui.sh`.
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### Installation on Apple Silicon
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Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon).
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## Contributing
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Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
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## Documentation
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The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
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## Credits
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Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
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- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
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- k-diffusion - https://github.com/crowsonkb/k-diffusion.git
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- GFPGAN - https://github.com/TencentARC/GFPGAN.git
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- CodeFormer - https://github.com/sczhou/CodeFormer
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- ESRGAN - https://github.com/xinntao/ESRGAN
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- SwinIR - https://github.com/JingyunLiang/SwinIR
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- Swin2SR - https://github.com/mv-lab/swin2sr
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- LDSR - https://github.com/Hafiidz/latent-diffusion
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- MiDaS - https://github.com/isl-org/MiDaS
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- Ideas for optimizations - https://github.com/basujindal/stable-diffusion
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- Cross Attention layer optimization - Doggettx - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
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- Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
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- Sub-quadratic Cross Attention layer optimization - Alex Birch (https://github.com/Birch-san/diffusers/pull/1), Amin Rezaei (https://github.com/AminRezaei0x443/memory-efficient-attention)
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- Textual Inversion - Rinon Gal - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
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- Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
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- Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
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- CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
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- Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
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- xformers - https://github.com/facebookresearch/xformers
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- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
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- Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://github.com/Birch-san/diffusers-play/tree/92feee6)
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- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
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- Security advice - RyotaK
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- UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
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- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
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- (You)
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@ -0,0 +1,162 @@
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{
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"samples_save": true,
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"samples_format": "png",
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"samples_filename_pattern": "",
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"save_images_add_number": true,
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"grid_save": true,
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"grid_format": "png",
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"grid_extended_filename": false,
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"grid_only_if_multiple": true,
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"grid_prevent_empty_spots": false,
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"n_rows": -1,
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"enable_pnginfo": true,
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"save_txt": false,
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"save_images_before_face_restoration": false,
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"save_images_before_highres_fix": false,
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"save_images_before_color_correction": false,
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"save_mask": false,
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"save_mask_composite": false,
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"jpeg_quality": 80,
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"webp_lossless": false,
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"export_for_4chan": true,
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"img_downscale_threshold": 4.0,
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"target_side_length": 4000,
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"img_max_size_mp": 200,
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"use_original_name_batch": true,
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"use_upscaler_name_as_suffix": false,
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"save_selected_only": true,
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"do_not_add_watermark": false,
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"temp_dir": "",
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"clean_temp_dir_at_start": false,
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"outdir_samples": "",
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"outdir_txt2img_samples": "outputs/txt2img-images",
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"outdir_img2img_samples": "outputs/img2img-images",
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"outdir_extras_samples": "outputs/extras-images",
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"outdir_grids": "",
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"outdir_txt2img_grids": "outputs/txt2img-grids",
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"outdir_img2img_grids": "outputs/img2img-grids",
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"outdir_save": "log/images",
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"save_to_dirs": true,
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"grid_save_to_dirs": true,
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"use_save_to_dirs_for_ui": false,
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"directories_filename_pattern": "[date]",
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"directories_max_prompt_words": 8,
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"ESRGAN_tile": 192,
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"ESRGAN_tile_overlap": 8,
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"realesrgan_enabled_models": [
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"R-ESRGAN 4x+",
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"R-ESRGAN 4x+ Anime6B"
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],
|
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"upscaler_for_img2img": null,
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"face_restoration_model": "CodeFormer",
|
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"code_former_weight": 0.5,
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"face_restoration_unload": false,
|
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"show_warnings": false,
|
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"memmon_poll_rate": 8,
|
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"samples_log_stdout": false,
|
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"multiple_tqdm": true,
|
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"print_hypernet_extra": false,
|
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"unload_models_when_training": false,
|
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"pin_memory": false,
|
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"save_optimizer_state": false,
|
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"save_training_settings_to_txt": true,
|
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"dataset_filename_word_regex": "",
|
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"dataset_filename_join_string": " ",
|
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"training_image_repeats_per_epoch": 1,
|
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"training_write_csv_every": 500,
|
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"training_xattention_optimizations": false,
|
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"training_enable_tensorboard": false,
|
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"training_tensorboard_save_images": false,
|
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"training_tensorboard_flush_every": 120,
|
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"sd_model_checkpoint": "aresMix_v01.safetensors [6ecece11bf]",
|
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"sd_checkpoint_cache": 0,
|
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"sd_vae_checkpoint_cache": 0,
|
||||
"sd_vae": "vae-ft-mse-840000-ema-pruned.safetensors",
|
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"sd_vae_as_default": true,
|
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"inpainting_mask_weight": 1.0,
|
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"initial_noise_multiplier": 1.0,
|
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"img2img_color_correction": false,
|
||||
"img2img_fix_steps": false,
|
||||
"img2img_background_color": "#ffffff",
|
||||
"enable_quantization": false,
|
||||
"enable_emphasis": true,
|
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"enable_batch_seeds": true,
|
||||
"comma_padding_backtrack": 20,
|
||||
"CLIP_stop_at_last_layers": 1,
|
||||
"upcast_attn": false,
|
||||
"use_old_emphasis_implementation": false,
|
||||
"use_old_karras_scheduler_sigmas": false,
|
||||
"no_dpmpp_sde_batch_determinism": false,
|
||||
"use_old_hires_fix_width_height": false,
|
||||
"interrogate_keep_models_in_memory": false,
|
||||
"interrogate_return_ranks": false,
|
||||
"interrogate_clip_num_beams": 1,
|
||||
"interrogate_clip_min_length": 24,
|
||||
"interrogate_clip_max_length": 48,
|
||||
"interrogate_clip_dict_limit": 1500,
|
||||
"interrogate_clip_skip_categories": [],
|
||||
"interrogate_deepbooru_score_threshold": 0.5,
|
||||
"deepbooru_sort_alpha": true,
|
||||
"deepbooru_use_spaces": false,
|
||||
"deepbooru_escape": true,
|
||||
"deepbooru_filter_tags": "",
|
||||
"extra_networks_default_view": "cards",
|
||||
"extra_networks_default_multiplier": 1.0,
|
||||
"extra_networks_card_width": 0,
|
||||
"extra_networks_card_height": 0,
|
||||
"extra_networks_add_text_separator": " ",
|
||||
"sd_hypernetwork": "None",
|
||||
"return_grid": true,
|
||||
"return_mask": false,
|
||||
"return_mask_composite": false,
|
||||
"do_not_show_images": false,
|
||||
"add_model_hash_to_info": true,
|
||||
"add_model_name_to_info": true,
|
||||
"disable_weights_auto_swap": true,
|
||||
"send_seed": true,
|
||||
"send_size": true,
|
||||
"font": "",
|
||||
"js_modal_lightbox": true,
|
||||
"js_modal_lightbox_initially_zoomed": true,
|
||||
"show_progress_in_title": true,
|
||||
"samplers_in_dropdown": true,
|
||||
"dimensions_and_batch_together": true,
|
||||
"keyedit_precision_attention": 0.1,
|
||||
"keyedit_precision_extra": 0.05,
|
||||
"quicksettings": "sd_model_checkpoint",
|
||||
"hidden_tabs": [],
|
||||
"ui_reorder": "inpaint, sampler, checkboxes, hires_fix, dimensions, cfg, seed, batch, override_settings, scripts",
|
||||
"ui_extra_networks_tab_reorder": "",
|
||||
"localization": "None",
|
||||
"show_progressbar": true,
|
||||
"live_previews_enable": true,
|
||||
"show_progress_grid": true,
|
||||
"show_progress_every_n_steps": 10,
|
||||
"show_progress_type": "Approx NN",
|
||||
"live_preview_content": "Prompt",
|
||||
"live_preview_refresh_period": 1000,
|
||||
"hide_samplers": [],
|
||||
"eta_ddim": 0.0,
|
||||
"eta_ancestral": 1.0,
|
||||
"ddim_discretize": "uniform",
|
||||
"s_churn": 0.0,
|
||||
"s_tmin": 0.0,
|
||||
"s_noise": 1.0,
|
||||
"eta_noise_seed_delta": 0,
|
||||
"always_discard_next_to_last_sigma": false,
|
||||
"uni_pc_variant": "bh1",
|
||||
"uni_pc_skip_type": "time_uniform",
|
||||
"uni_pc_order": 3,
|
||||
"uni_pc_lower_order_final": true,
|
||||
"postprocessing_enable_in_main_ui": [],
|
||||
"postprocessing_operation_order": [],
|
||||
"upscaling_max_images_in_cache": 5,
|
||||
"disabled_extensions": [],
|
||||
"disable_all_extensions": "none",
|
||||
"sd_checkpoint_hash": "6ecece11bf069e9950746d33ab346826c5352acf047c64a3ab74c8884924adf0",
|
||||
"ldsr_steps": 100,
|
||||
"ldsr_cached": false,
|
||||
"SWIN_tile": 192,
|
||||
"SWIN_tile_overlap": 8,
|
||||
"sd_lora": "None"
|
||||
}
|
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@ -0,0 +1,591 @@
|
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{
|
||||
"txt2img/Prompt/visible": true,
|
||||
"txt2img/Prompt/value": "",
|
||||
"txt2img/Negative prompt/visible": true,
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|
||||
"customscript/poor_mans_outpainting.py/img2img/Mask blur/visible": true,
|
||||
"customscript/poor_mans_outpainting.py/img2img/Mask blur/value": 4,
|
||||
"customscript/poor_mans_outpainting.py/img2img/Mask blur/minimum": 0,
|
||||
"customscript/poor_mans_outpainting.py/img2img/Mask blur/maximum": 64,
|
||||
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|
||||
"customscript/poor_mans_outpainting.py/img2img/Masked content/visible": true,
|
||||
"customscript/poor_mans_outpainting.py/img2img/Masked content/value": "fill",
|
||||
"customscript/prompt_matrix.py/img2img/Put variable parts at start of prompt/visible": true,
|
||||
"customscript/prompt_matrix.py/img2img/Put variable parts at start of prompt/value": false,
|
||||
"customscript/prompt_matrix.py/img2img/Use different seed for each picture/visible": true,
|
||||
"customscript/prompt_matrix.py/img2img/Use different seed for each picture/value": false,
|
||||
"customscript/prompt_matrix.py/img2img/Select prompt/visible": true,
|
||||
"customscript/prompt_matrix.py/img2img/Select prompt/value": "positive",
|
||||
"customscript/prompt_matrix.py/img2img/Select joining char/visible": true,
|
||||
"customscript/prompt_matrix.py/img2img/Select joining char/value": "comma",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"customscript/prompts_from_file.py/img2img/Iterate seed every line/value": false,
|
||||
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|
||||
"customscript/prompts_from_file.py/img2img/Use same random seed for all lines/value": false,
|
||||
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|
||||
"customscript/prompts_from_file.py/img2img/List of prompt inputs/value": "",
|
||||
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|
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"customscript/sd_upscale.py/img2img/Tile overlap/value": 64,
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"customscript/sd_upscale.py/img2img/Tile overlap/step": 16,
|
||||
"customscript/sd_upscale.py/img2img/Scale Factor/visible": true,
|
||||
"customscript/sd_upscale.py/img2img/Scale Factor/value": 2.0,
|
||||
"customscript/sd_upscale.py/img2img/Scale Factor/minimum": 1.0,
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"customscript/sd_upscale.py/img2img/Scale Factor/maximum": 4.0,
|
||||
"customscript/sd_upscale.py/img2img/Scale Factor/step": 0.05,
|
||||
"customscript/sd_upscale.py/img2img/Upscaler/visible": true,
|
||||
"customscript/sd_upscale.py/img2img/Upscaler/value": "None",
|
||||
"customscript/xyz_grid.py/img2img/X type/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/X type/value": "Seed",
|
||||
"customscript/xyz_grid.py/img2img/X values/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/X values/value": "",
|
||||
"customscript/xyz_grid.py/img2img/Y type/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/Y type/value": "Nothing",
|
||||
"customscript/xyz_grid.py/img2img/Y values/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/Y values/value": "",
|
||||
"customscript/xyz_grid.py/img2img/Z type/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/Z type/value": "Nothing",
|
||||
"customscript/xyz_grid.py/img2img/Z values/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/Z values/value": "",
|
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"customscript/xyz_grid.py/img2img/Draw legend/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/Draw legend/value": true,
|
||||
"customscript/xyz_grid.py/img2img/Keep -1 for seeds/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/Keep -1 for seeds/value": false,
|
||||
"customscript/xyz_grid.py/img2img/Include Sub Images/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/Include Sub Images/value": false,
|
||||
"customscript/xyz_grid.py/img2img/Include Sub Grids/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/Include Sub Grids/value": false,
|
||||
"customscript/xyz_grid.py/img2img/Grid margins (px)/visible": true,
|
||||
"customscript/xyz_grid.py/img2img/Grid margins (px)/value": 0,
|
||||
"customscript/xyz_grid.py/img2img/Grid margins (px)/minimum": 0,
|
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|
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"customscript/xyz_grid.py/img2img/Grid margins (px)/step": 2,
|
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"extras/Input directory/visible": true,
|
||||
"extras/Input directory/value": "",
|
||||
"extras/Output directory/visible": true,
|
||||
"extras/Output directory/value": "",
|
||||
"extras/Show result images/visible": true,
|
||||
"extras/Show result images/value": true,
|
||||
"customscript/postprocessing_upscale.py/extras/Resize/visible": true,
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"customscript/postprocessing_upscale.py/extras/Resize/value": 4,
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"customscript/postprocessing_upscale.py/extras/Resize/minimum": 1.0,
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"customscript/postprocessing_upscale.py/extras/Resize/maximum": 8.0,
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"customscript/postprocessing_upscale.py/extras/Resize/step": 0.05,
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"customscript/postprocessing_upscale.py/extras/Width/visible": true,
|
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"customscript/postprocessing_upscale.py/extras/Width/value": 512,
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"customscript/postprocessing_upscale.py/extras/Height/visible": true,
|
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"customscript/postprocessing_upscale.py/extras/Height/value": 512,
|
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"customscript/postprocessing_upscale.py/extras/Crop to fit/visible": true,
|
||||
"customscript/postprocessing_upscale.py/extras/Crop to fit/value": true,
|
||||
"customscript/postprocessing_upscale.py/extras/Upscaler 1/visible": true,
|
||||
"customscript/postprocessing_upscale.py/extras/Upscaler 1/value": "None",
|
||||
"customscript/postprocessing_upscale.py/extras/Upscaler 2/visible": true,
|
||||
"customscript/postprocessing_upscale.py/extras/Upscaler 2/value": "None",
|
||||
"customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/visible": true,
|
||||
"customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/value": 0.0,
|
||||
"customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/minimum": 0.0,
|
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"customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/maximum": 1.0,
|
||||
"customscript/postprocessing_upscale.py/extras/Upscaler 2 visibility/step": 0.001,
|
||||
"customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/visible": true,
|
||||
"customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/value": 0,
|
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"customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/minimum": 0.0,
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"customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/maximum": 1.0,
|
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"customscript/postprocessing_gfpgan.py/extras/GFPGAN visibility/step": 0.001,
|
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"customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/visible": true,
|
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"customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/value": 0,
|
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"customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/minimum": 0.0,
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"customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/maximum": 1.0,
|
||||
"customscript/postprocessing_codeformer.py/extras/CodeFormer visibility/step": 0.001,
|
||||
"customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/visible": true,
|
||||
"customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/value": 0,
|
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"customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/minimum": 0.0,
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"customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/maximum": 1.0,
|
||||
"customscript/postprocessing_codeformer.py/extras/CodeFormer weight (0 = maximum effect, 1 = minimum effect)/step": 0.001,
|
||||
"modelmerger/Primary model (A)/visible": true,
|
||||
"modelmerger/Primary model (A)/value": null,
|
||||
"modelmerger/Secondary model (B)/visible": true,
|
||||
"modelmerger/Secondary model (B)/value": null,
|
||||
"modelmerger/Tertiary model (C)/visible": true,
|
||||
"modelmerger/Tertiary model (C)/value": null,
|
||||
"modelmerger/Custom Name (Optional)/visible": true,
|
||||
"modelmerger/Custom Name (Optional)/value": "",
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/visible": true,
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/value": 0.3,
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/minimum": 0.0,
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/maximum": 1.0,
|
||||
"modelmerger/Multiplier (M) - set to 0 to get model A/step": 0.05,
|
||||
"modelmerger/Interpolation Method/visible": true,
|
||||
"modelmerger/Interpolation Method/value": "Weighted sum",
|
||||
"modelmerger/Checkpoint format/visible": true,
|
||||
"modelmerger/Checkpoint format/value": "ckpt",
|
||||
"modelmerger/Save as float16/visible": true,
|
||||
"modelmerger/Save as float16/value": false,
|
||||
"modelmerger/Copy config from/visible": true,
|
||||
"modelmerger/Copy config from/value": "A, B or C",
|
||||
"modelmerger/Bake in VAE/visible": true,
|
||||
"modelmerger/Bake in VAE/value": "None",
|
||||
"modelmerger/Discard weights with matching name/visible": true,
|
||||
"modelmerger/Discard weights with matching name/value": "",
|
||||
"train/Name/visible": true,
|
||||
"train/Name/value": "",
|
||||
"train/Initialization text/visible": true,
|
||||
"train/Initialization text/value": "*",
|
||||
"train/Number of vectors per token/visible": true,
|
||||
"train/Number of vectors per token/value": 1,
|
||||
"train/Number of vectors per token/minimum": 1,
|
||||
"train/Number of vectors per token/maximum": 75,
|
||||
"train/Number of vectors per token/step": 1,
|
||||
"train/Overwrite Old Embedding/visible": true,
|
||||
"train/Overwrite Old Embedding/value": false,
|
||||
"train/Enter hypernetwork layer structure/visible": true,
|
||||
"train/Enter hypernetwork layer structure/value": "1, 2, 1",
|
||||
"train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/visible": true,
|
||||
"train/Select activation function of hypernetwork. Recommended : Swish / Linear(none)/value": "linear",
|
||||
"train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/visible": true,
|
||||
"train/Select Layer weights initialization. Recommended: Kaiming for relu-like, Xavier for sigmoid-like, Normal otherwise/value": "Normal",
|
||||
"train/Add layer normalization/visible": true,
|
||||
"train/Add layer normalization/value": false,
|
||||
"train/Use dropout/visible": true,
|
||||
"train/Use dropout/value": false,
|
||||
"train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/visible": true,
|
||||
"train/Enter hypernetwork Dropout structure (or empty). Recommended : 0~0.35 incrementing sequence: 0, 0.05, 0.15/value": "0, 0, 0",
|
||||
"train/Overwrite Old Hypernetwork/visible": true,
|
||||
"train/Overwrite Old Hypernetwork/value": false,
|
||||
"train/Source directory/visible": true,
|
||||
"train/Source directory/value": "",
|
||||
"train/Destination directory/visible": true,
|
||||
"train/Destination directory/value": "",
|
||||
"train/Width/visible": true,
|
||||
"train/Width/value": 512,
|
||||
"train/Width/minimum": 64,
|
||||
"train/Width/maximum": 2048,
|
||||
"train/Width/step": 8,
|
||||
"train/Height/visible": true,
|
||||
"train/Height/value": 512,
|
||||
"train/Height/minimum": 64,
|
||||
"train/Height/maximum": 2048,
|
||||
"train/Height/step": 8,
|
||||
"train/Existing Caption txt Action/visible": true,
|
||||
"train/Existing Caption txt Action/value": "ignore",
|
||||
"train/Create flipped copies/visible": true,
|
||||
"train/Create flipped copies/value": false,
|
||||
"train/Split oversized images/visible": true,
|
||||
"train/Split oversized images/value": false,
|
||||
"train/Auto focal point crop/visible": true,
|
||||
"train/Auto focal point crop/value": false,
|
||||
"train/Auto-sized crop/visible": true,
|
||||
"train/Auto-sized crop/value": false,
|
||||
"train/Use BLIP for caption/visible": true,
|
||||
"train/Use BLIP for caption/value": false,
|
||||
"train/Use deepbooru for caption/visible": true,
|
||||
"train/Use deepbooru for caption/value": false,
|
||||
"train/Split image threshold/visible": true,
|
||||
"train/Split image threshold/value": 0.5,
|
||||
"train/Split image threshold/minimum": 0.0,
|
||||
"train/Split image threshold/maximum": 1.0,
|
||||
"train/Split image threshold/step": 0.05,
|
||||
"train/Split image overlap ratio/visible": true,
|
||||
"train/Split image overlap ratio/value": 0.2,
|
||||
"train/Split image overlap ratio/minimum": 0.0,
|
||||
"train/Split image overlap ratio/maximum": 0.9,
|
||||
"train/Split image overlap ratio/step": 0.05,
|
||||
"train/Focal point face weight/visible": true,
|
||||
"train/Focal point face weight/value": 0.9,
|
||||
"train/Focal point face weight/minimum": 0.0,
|
||||
"train/Focal point face weight/maximum": 1.0,
|
||||
"train/Focal point face weight/step": 0.05,
|
||||
"train/Focal point entropy weight/visible": true,
|
||||
"train/Focal point entropy weight/value": 0.15,
|
||||
"train/Focal point entropy weight/minimum": 0.0,
|
||||
"train/Focal point entropy weight/maximum": 1.0,
|
||||
"train/Focal point entropy weight/step": 0.05,
|
||||
"train/Focal point edges weight/visible": true,
|
||||
"train/Focal point edges weight/value": 0.5,
|
||||
"train/Focal point edges weight/minimum": 0.0,
|
||||
"train/Focal point edges weight/maximum": 1.0,
|
||||
"train/Focal point edges weight/step": 0.05,
|
||||
"train/Create debug image/visible": true,
|
||||
"train/Create debug image/value": false,
|
||||
"train/Dimension lower bound/visible": true,
|
||||
"train/Dimension lower bound/value": 384,
|
||||
"train/Dimension lower bound/minimum": 64,
|
||||
"train/Dimension lower bound/maximum": 2048,
|
||||
"train/Dimension lower bound/step": 8,
|
||||
"train/Dimension upper bound/visible": true,
|
||||
"train/Dimension upper bound/value": 768,
|
||||
"train/Dimension upper bound/minimum": 64,
|
||||
"train/Dimension upper bound/maximum": 2048,
|
||||
"train/Dimension upper bound/step": 8,
|
||||
"train/Area lower bound/visible": true,
|
||||
"train/Area lower bound/value": 4096,
|
||||
"train/Area lower bound/minimum": 4096,
|
||||
"train/Area lower bound/maximum": 4194304,
|
||||
"train/Area lower bound/step": 1,
|
||||
"train/Area upper bound/visible": true,
|
||||
"train/Area upper bound/value": 409600,
|
||||
"train/Area upper bound/minimum": 4096,
|
||||
"train/Area upper bound/maximum": 4194304,
|
||||
"train/Area upper bound/step": 1,
|
||||
"train/Resizing objective/visible": true,
|
||||
"train/Resizing objective/value": "Maximize area",
|
||||
"train/Error threshold/visible": true,
|
||||
"train/Error threshold/value": 0.1,
|
||||
"train/Error threshold/minimum": 0,
|
||||
"train/Error threshold/maximum": 1,
|
||||
"train/Error threshold/step": 0.01,
|
||||
"train/Embedding/visible": true,
|
||||
"train/Embedding/value": null,
|
||||
"train/Hypernetwork/visible": true,
|
||||
"train/Hypernetwork/value": null,
|
||||
"train/Embedding Learning rate/visible": true,
|
||||
"train/Embedding Learning rate/value": "0.005",
|
||||
"train/Hypernetwork Learning rate/visible": true,
|
||||
"train/Hypernetwork Learning rate/value": "0.00001",
|
||||
"train/Gradient Clipping/visible": true,
|
||||
"train/Gradient Clipping/value": "disabled",
|
||||
"train/Batch size/visible": true,
|
||||
"train/Batch size/value": 1,
|
||||
"train/Gradient accumulation steps/visible": true,
|
||||
"train/Gradient accumulation steps/value": 1,
|
||||
"train/Dataset directory/visible": true,
|
||||
"train/Dataset directory/value": "",
|
||||
"train/Log directory/visible": true,
|
||||
"train/Log directory/value": "textual_inversion",
|
||||
"train/Prompt template/visible": true,
|
||||
"train/Prompt template/value": "style_filewords.txt",
|
||||
"train/Do not resize images/visible": true,
|
||||
"train/Do not resize images/value": false,
|
||||
"train/Max steps/visible": true,
|
||||
"train/Max steps/value": 100000,
|
||||
"train/Save an image to log directory every N steps, 0 to disable/visible": true,
|
||||
"train/Save an image to log directory every N steps, 0 to disable/value": 500,
|
||||
"train/Save a copy of embedding to log directory every N steps, 0 to disable/visible": true,
|
||||
"train/Save a copy of embedding to log directory every N steps, 0 to disable/value": 500,
|
||||
"train/Use PNG alpha channel as loss weight/visible": true,
|
||||
"train/Use PNG alpha channel as loss weight/value": false,
|
||||
"train/Save images with embedding in PNG chunks/visible": true,
|
||||
"train/Save images with embedding in PNG chunks/value": true,
|
||||
"train/Read parameters (prompt, etc...) from txt2img tab when making previews/visible": true,
|
||||
"train/Read parameters (prompt, etc...) from txt2img tab when making previews/value": false,
|
||||
"train/Shuffle tags by ',' when creating prompts./visible": true,
|
||||
"train/Shuffle tags by ',' when creating prompts./value": false,
|
||||
"train/Drop out tags when creating prompts./visible": true,
|
||||
"train/Drop out tags when creating prompts./value": 0,
|
||||
"train/Drop out tags when creating prompts./minimum": 0,
|
||||
"train/Drop out tags when creating prompts./maximum": 1,
|
||||
"train/Drop out tags when creating prompts./step": 0.1,
|
||||
"train/Choose latent sampling method/visible": true,
|
||||
"train/Choose latent sampling method/value": "once"
|
||||
}
|
||||
Loading…
Reference in New Issue