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update hiresfix

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Vladimir Mandic
2023-05-24 12:48:08 -04:00
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CHANGELOG.md
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# Change Log for SD.Next
## Update for 05/24/2023
Mostly cosmetic...
- Updated README.md
- Created CHANGELOG.md
## Update for 05/23/2023
Major internal work with perhaps not that much user-facing to show for it ;)
- update core repos: **stability-ai**, **taming-transformers**, **k-diffusion, blip**, **codeformer**
note: to avoid disruptions, this is applicable for new installs only
- tested with **torch 2.1**, **cuda 12.1**, **cudnn 8.9**
(production remains on torch2.0.1+cuda11.8+cudnn8.8)
- fully extend support of `--data-dir`
allows multiple installations to share pretty much everything, not just models
especially useful if you want to run in a stateless container or cloud instance
- redo api authentication
now api authentication will use same user/pwd (if specified) for ui and strictly enforce it using httpbasicauth
new authentication is also fully supported in combination with ssl for both sync and async calls
if you want to use api programatically, see examples in `cli/sdapi.py`
- add dark/light theme mode toggle
- redo some `clip-skip` functionality
- better matching for vae vs model
- update to `xyz grid` to allow creation of large number of images without creating grid itself
- update `gradio` (again)
- more prompt parser optimizations
- better error handling when importing image settings which are not compatible with current install
for example, when upscaler or sampler originally used is not available
- fixes...amazing how many issues were introduced by porting a1111 v1.20 code without adding almost no new functionality
next one is v1.30 (still in dev) which does bring a lot of new features
## Update for 05/17/2023
This is a massive one due to huge number of changes,
but hopefully it will go ok...
- new **prompt parsers**
select in UI -> Settings -> Stable Diffusion
- **Full**: my new implementation
- **A1111**: for backward compatibility
- **Compel**: as used in ComfyUI and InvokeAI (a.k.a *Temporal Weighting*)
- **Fixed**: for really old backward compatibility
- monitor **extensions** install/startup and
log if they modify any packages/requirements
this is a *deep-experimental* python hack, but i think its worth it as extensions modifying requirements
is one of most common causes of issues
- added `--safe` command line flag mode which skips loading user extensions
please try to use it before opening new issue
- reintroduce `--api-only` mode to start server without ui
- port *all* upstream changes from [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
up to today - commit hash `89f9faa`
## Update for 05/15/2023
- major work on **prompt parsing**
this can cause some differences in results compared to what you're used to, but its all about fixes & improvements
- prompt parser was adding commas and spaces as separate words and tokens and/or prefixes
- negative prompt weight using `[word:weight]` was ignored, it was always `0.909`
- bracket matching was anything but correct. complex nested attention brackets are now working.
- btw, if you run with `--debug` flag, you'll now actually see parsed prompt & schedule
- updated all scripts in `/cli`
- add option in settings to force different **latent sampler** instead of using primary only
- add **interrupt/skip** capabilities to process images
## Update for 05/13/2023
This is mostly about optimizations...
- improved `torch-directml` support
especially interesting for **amd** users on **windows** where **torch+rocm** is not yet available
dont forget to run using `--use-directml` or default is **cpu**
- improved compatibility with **nvidia** rtx 1xxx/2xxx series gpus
- fully working `torch.compile` with **torch 2.0.1**
using `inductor` compile takes a while on first run, but does result in 5-10% performance increase
- improved memory handling
for highest performance, you can also disable aggressive **gc** in settings
- improved performance
especially *after* generate as image handling has been moved to separate thread
- allow per-extension updates in extension manager
- option to reset configuration in settings
## Update for 05/11/2023
- brand new **extension manager**
this is pretty much a complete rewrite, so new issues are possible
- support for `torch` 2.0.1
note that if you are experiencing frequent hangs, this may be a worth a try
- updated `gradio` to 3.29.0
- added `--reinstall` flag to force reinstall of all packages
- auto-recover & re-attempt when `--upgrade` is requested but fails
- check for duplicate extensions
## Update for 05/08/2023
Back online with few updates:
- bugfixes. yup, quite a lot of those
- auto-detect some cpu/gpu capabilities on startup
this should reduce need to tweak and tune settings like no-half, no-half-vae, fp16 vs fp32, etc
- configurable order of top level tabs
- configurable order of scripts in txt2img and img2img
for both, see sections in ui-> settings -> user interface
## Update for 05/04/2023
Again, few days later...
- reviewed/ported **all** commits from **A1111** upstream
some a few are not applicable as i already have alternative implementations
and very few i choose not to implement (save/restore last-known-good-config is a bad hack)
otherwise, we're fully up to date (its doesn't show on fork status as code merges were mostly manual due to conflicts)
but...due to sheer size of the updates, this may introduce some temporary issues
- redesigned server restart function
now available and working in ui
actually, since server restart is now a true restart and not ui restart, it can be used much more flexibly
- faster model load
plus support for slower devices via stream-load function (in ui settings)
- better logging
this includes new `--debug` flag for more verbose logging when troubleshooting
## Update for 05/01/2023
Been a bit quieter for last few days as changes were quite significant, but finally here we are...
- Updated core libraries: Gradio, Diffusers, Transformers
- Added support for **Intel ARC** GPUs via Intel OneAPI IPEX (auto-detected)
- Added support for **TorchML** (set by default when running on non-compatible GPU or on CPU)
- Enhanced support for AMD GPUs with **ROCm**
- Enhanced support for Apple **M1/M2**
- Redesigned command params: run `webui --help` for details
- Redesigned API and script processing
- Experimental support for multiple **Torch compile** options
- Improved sampler support
- Google Colab: <https://colab.research.google.com/drive/126cDNwHfifCyUpCCQF9IHpEdiXRfHrLN>
Maintained by <https://github.com/Linaqruf/sd-notebook-collection>
- Fixes, fixes, fixes...
To take advantage of new out-of-the-box tunings, its recommended to delete your `config.json` so new defaults are applied. Its not necessary, but otherwise you may need to play with UI Settings to get the best of Intel ARC, TorchML, ROCm or Apple M1/M2.
## Update for 04/27/2023
a bit shorter list as:
- i've been busy with buxfixing
there are a lot of them, not going to list each here.
but seems like critical issues backlog is quieting down and soon i can focus on new features development.
- i've started collaboration with couple of major projects,
hopefully this will accelerate future development.
what's new:
- ability to view/add/edit model description shown in extra networks cards
- add option to specify fallback sampler if primary sampler is not compatible with desired operation
- make clip skip a local parameter
- remove obsolete items from UI settings
- set defaults for AMD ROCm
if you have issues, you may want to start with a fresh install so configuration can be created from scratch
- set defaults for Apple M1/M2
if you have issues, you may want to start with a fresh install so configuration can be created from scratch
## Update for 04/25/2023
- update process image -> info
- add VAE info to metadata
- update GPU utility search paths for better GPU type detection
- update git flags for wider compatibility
- update environment tuning
- update ti training defaults
- update VAE search paths
- add compatibility opts for some old extensions
- validate script args for always-on scripts
fixes: deforum with controlnet
## Update for 04/24/2023
- identify race condition where generate locks up while fetching preview
- add pulldowns to x/y/z script
- add VAE rollback feature in case of NaNs
- use samples format for live preview
- add token merging
- use **Approx NN** for live preview
- create default `styles.csv`
- fix setup not installing `tensorflow` dependencies
- update default git flags to reduce number of warnings
## Update for 04/23/2023
- fix VAE dtype
should fix most issues with NaN or black images
- add built-in Gradio themes
- reduce requirements
- more AMD specific work
- initial work on Apple platform support
- additional PR merges
- handle torch cuda crashing in setup
- fix setup race conditions
- fix ui lightbox
- mark tensorflow as optional
- add additional image name templates
## Update for 04/22/2023
- autodetect which system libs should be installed
this is a first pass of autoconfig for **nVidia** vs **AMD** environments
- fix parse cmd line args from extensions
- only install `xformers` if actually selected as desired cross-attention method
- do not attempt to use `xformers` or `sdp` if running on cpu
- merge tomesd token merging
- merge 23 PRs pending from a1111 backlog (!!)
*expect shorter updates for the next few days as i'll be partically ooo*
## Update for 04/20/2023
- full CUDA tuning section in UI Settings
- improve exif/pnginfo metadata parsing
it can now handle 3rd party images or images edited in external software
- optimized setup performance and logging
- improve compatibility with some 3rd party extensions
for example handle extensions that install packages directly from github urls
- fix initial model download if no models found
- fix vae not found issues
- fix multiple git issues
note: if you previously had command line optimizations such as --no-half, those are now ignored and moved to ui settings
## Update for 04/19/2023
- fix live preview
- fix model merge
- fix handling of user-defined temp folders
- fix submit benchmark
- option to override `torch` and `xformers` installer
- separate benchmark data for system-info extension
- minor css fixes
- created initial merge backlog from pending prs on a1111 repo
see #258 for details
## Update for 04/18/2023
- reconnect ui to active session on browser restart
this is one of most frequently asked for items, finally figured it out
works for text and image generation, but not for process as there is no progress bar reported there to start with
- force unload `xformers` when not used
improves compatibility with AMD/M1 platforms
- add `styles.csv` to UI settings to allow customizing path
- add `--skip-git` to cmd flags for power users that want
to skip all git checks and operations and perform manual updates
- add `--disable-queue` to cmd flags that disables Gradio queues (experimental)
this forces it to use HTTP instead of WebSockets and can help on unreliable network connections
- set scripts & extensions loading priority and allow custom priorities
fixes random extension issues:
`ScuNet` upscaler dissapearing, `Additional Networks` not showing up on XYZ axis, etc.
- improve html loading order
- remove some `asserts` causing runtime errors and replace with user-friendly messages
- update README.md
- update TODO.md
## Update for 04/17/2023
- **themes** are now dynamic and discovered from list of available gradio themes on huggingface
its quite a list of 30+ supported themes so far
- added option to see **theme preview** without the need to apply it or restart server
- integrated **image info** functionality into **process image** tab and removed separate **image info** tab
- more installer improvements
- fix urls
- updated github integration
- make model download as optional if no models found
## Update for 04/16/2023
- support for ui themes! to to *settings* -> *user interface* -> "ui theme*
includes 12 predefined themes
- ability to restart server from ui
- updated requirements
- removed `styles.csv` from repo, its now fully under user control
- removed model-keyword extension as overly aggresive
- rewrite of the fastapi middleware handlers
- install bugfixes, hopefully new installer is now ok \
i really want to focus on features and not troubleshooting installer
## Update for 04/15/2023
- update default values
- remove `ui-config.json` from repo, its not fully under user control
- updated extensions mangager
- updated locon/lycoris plugin
- enable quick launch by default
- add multidiffusion upscaler extensions
- add model keyword extension
- enable strong linting
- fix circular imports
- fix extensions updated
- fix git update issues
- update github templates
## Update for 04/14/2023
- handle duplicate extensions
- redo exception handler
- fix generate forever
- enable cmdflags compatibility
- change default css font
- fix ti previews on initial start
- enhance tracebacks
- pin transformers version to last known good version
- fix extension loader
## Update for 04/12/2023
This has been pending for a while, but finally uploaded some massive changes
- New launcher
- `webui.bat` and `webui.sh`:
Platform specific wrapper scripts that starts `launch.py` in Python virtual environment
*Note*: Server can run without virtual environment, but it is recommended to use it
This is carry-over from original repo
**If you're unsure which launcher to use, this is the one you want**
- `launch.py`:
Main startup script
Can be used directly to start server in manually activated `venv` or to run it without `venv`
- `installer.py`:
Main installer, used by `launch.py`
- `webui.py`:
Main server script
- New logger
- New exception handler
- Built-in performance profiler
- New requirements handling
- Move of most of command line flags into UI Settings
README.md
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![License](https://img.shields.io/github/license/vladmandic/human?style=flat-square&svg=true)
![GitHub Status Checks](https://img.shields.io/github/checks-status/vladmandic/human/main?style=flat-square&svg=true)
# Stable Diffusion - Automatic
*Heavily opinionated custom fork of* <https://github.com/AUTOMATIC1111/stable-diffusion-webui>
# SD.Next
Fork is as close as up-to-date with origin as time allows
All code changes are merged upstream whenever possible
**Stable Diffusion implementation with modern UI and advanced features**
The idea behind the fork is to enable latest technologies and advances in text-to-image generation
*Sometimes this is not the same as "as simple as possible to use"*
If you are looking an amazing simple-to-use Stable Diffusion tool, I'd suggest [InvokeAI](https://invoke-ai.github.io/InvokeAI/) specifically due to its automated installer and ease of use
This project started as a form from [Automatic1111 WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui/) and it grew siginificantly since then, but although it diverged significanly, any substantial features to original work is ported to this repository as well
<br>
Individual features are not listed here, instead check [Changelog](CHANGELOG.md) for full list of changes
### Follow [Development updates](https://github.com/vladmandic/automatic/discussions/99) for daily updates on new features/fixes
## Platform support
<br>
![screenshot](javascript/black-orange.jpg)
<br>
## Notes
### Fork does differ in few things
- New installer
- Advanced CUDA tuning
Available in UI Settings
- Advanced environment tuning
- Optimized startup and models lazy-loading
- Built-in performance profiler
- Updated libraries to latest known compatible versions
- Includes opinionated **System** and **Options** configuration
- Does not rely on `Accelerate` as it only affects distributed systems
Gradio web server will be initialized much earlier which model load is done in the background
Faster model loading plus ability to fallback on corrupt models
- Uses simplified folder structure
e.g. `/train`, `/outputs/*`, `/models/*`, etc.
- Enhanced training templates
- Built-in `LoRA`, `LyCORIS`, `Custom Diffusion`, `Dreambooth` training
- Majority of settings configurable via UI without the need for command line flags
e.g, cross-optimization methods, system folders, etc.
- New logger
- New error and exception handlers
### Optimizations
- Optimized for `Torch` 2.0
- Runs with `SDP` memory attention enabled by default if supported by system
*Note*: `xFormers` and other cross-optimization methods are still available
- Auto-adjust parameters when running on **CPU** or **CUDA**
*Note:* AMD and M1 platforms are supported, but without out-of-the-box optimizations
### Integrated Extensions
Hand-picked list of extensions that are deeply integrated into core workflows:
- [System Info](https://github.com/vladmandic/sd-extension-system-info)
- [ControlNet](https://github.com/Mikubill/sd-webui-controlnet)
- [Image Browser](https://github.com/AlUlkesh/stable-diffusion-webui-images-browser)
- [LORA](https://github.com/kohya-ss/sd-scripts) *(both training and inference)*
- [LyCORIS](https://github.com/KohakuBlueleaf/LyCORIS) *(both training and inference)*
- [Model Converter](https://github.com/Akegarasu/sd-webui-model-converter)
- [CLiP Interrogator](https://github.com/pharmapsychotic/clip-interrogator-ext)
- [Dynamic Thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding)
- [Steps Animation](https://github.com/vladmandic/sd-extension-steps-animation)
- [Seed Travel](https://github.com/yownas/seed_travel)
- [Multi-Diffusion Upscaler](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111)
### User Interface
- Includes updated **UI**: reskinned and reorganized
Black and orange dark theme with fixed width options panels and larger previews
- Includes support for **Gradio themes**
*Settings* -> *User interface* -> *UI theme*
Link to themes list & previews: <https://huggingface.co/spaces/gradio/theme-gallery>
### Removed
- Drops compatibility with older versions of `python` and requires **3.9** or **3.10**
- Drops localizations
### Integrated CLI/API tools
Fork adds extra functionality:
- New skin and UI layout
- Ships with set of **CLI** tools that rely on *SD API* for execution:
e.g. `generate`, `train`, `bench`, etc.
[Full list](<cli/>)
<br>
- **nVidia** GPUs using **CUDA** libraries on both *Windows and Linux*
- **AMD** GPUs using **ROCm** libraries on *Linux*
Support will be extended to *Windows* once AMD releases ROCm for Windows
- Any GPU compatibile with **DirectX** on *Windows* using **DirectML** libraries
This includes support for AMD GPUs that are not supported by native ROCm libraries
- **Intel Arc** GPUs using Intel OneAPI **Ipex/XPU** libraries
- **Apple M1/M2** on *OSX* using built-in support in Torch with some platform optimizations
## Install
1. Install first:
**Python** & **Git**
2. If you have nVidia GPU, install nVidia CUDA toolkit:
<https://developer.nvidia.com/cuda-downloads>
3. Clone repository
2. Clone repository
`git clone https://github.com/vladmandic/automatic`
3. Run launcher
`webui.bat` or `webui.sh`:
- Platform specific wrapper scripts For Windows, Linux and OSX
- Starts `launch.py` in a Python virtual environment (`venv`)
- Uses `install.py` to handle all actual requirements and dependencies
- *Note*: Server can run without virtual environment, but it is recommended to use it to avoid library version conflicts with other applications
## Run
Run desired startup script to install dependencies and extensions and start server:
- `webui.bat` and `webui.sh`:
Platform specific wrapper scripts For Windows, Linux and OSX
Starts `launch.py` in a Python virtual environment (venv)
*Note*: Server can run without virtual environment, but it is recommended to use it to avoid library version conflicts with other applications
**If you're unsure which launcher to use, this is the one you want**
- `launch.py`:
Main startup script
Can be used directly to start server in a manually activated `venv` or to run server without `venv`
- `setup.py`:
Main installer, used by `launch.py`
Can also be used directly to update repository or extensions
If running manually, make sure to activate `venv` first (if used)
- `webui.py`:
Main server script
Any of the above scripts can be used with `--help` to display detailed usage information and available parameters
For example:
> webui.bat --help
*Note*: **nVidia/CUDA** and **AMD/ROCm** are auto-detected is present and available, but for any other use case specify required parameter explicitly or wrong packages may be installed as installer will assume CPU-only environment
Full startup sequence is logged in `setup.log`, so if you encounter any issues, please check it first
## Update
Below is partial list of all available parameters, run `webui --help` for the full list:
The launcher can perform automatic update of main repository, requirements, extensions and submodules:
Setup options:
--use-ipex Use Intel OneAPI XPU backend, default: False
--use-directml Use DirectML if no compatible GPU is detected, default: False
--use-cuda Force use nVidia CUDA backend, default: False
--use-rocm Force use AMD ROCm backend, default: False
--skip-update Skip update of extensions and submodules, default: False
--skip-requirements Skips checking and installing requirements, default: False
--skip-extensions Skips running individual extension installers, default: False
--skip-git Skips running all GIT operations, default: False
--skip-torch Skips running Torch checks, default: False
--reinstall Force reinstallation of all requirements, default: False
--debug Run installer with debug logging, default: False
--reset Reset main repository to latest version, default: False
--upgrade Upgrade main repository to latest version, default: False
--safe Run in safe mode with no user extensions
- **Main repository**:
Update is *not* performed by default, enable with `--upgrade` flag
- **Requirements**:
Check is performed on each startup and missing requirements are auto-installed
Can be skipped with `--skip-requirements` flag
- **Extensions and submodules**:
Update is performed on each startup and installer for each extension is started
Can be skipped with `--skip-extensions` flag
- **Quick mode**: Automatically enabled if timestamp of last sucessful setup is newer than actual repository version or version of newest extension
<br>
## Other
### Scripts
This repository comes with a large collection of scripts that can be used to process inputs, train, generate, and benchmark models
As well as number of auxiliary scripts that do not rely on **WebUI**, but can be used for end-to-end solutions such as extract frames from videos, etc.
For full details see [Docs](cli/README.md)
<br>
### Docs
- Scripts are in [Scripts](cli/README.md)
- Everything else is in [Wiki](https://github.com/vladmandic/automatic/wiki)
- Except my current [TODO](TODO.md)
<br>![screenshot](javascript/black-orange.jpg)<br>
## Notes
### **Collab**
- To avoid having this repo rely just on me, I'd love to have additional maintainers with full admin rights. If you're interested, ping me!
- In addition to general cross-platform code, desire is to have a lead for each of the main platforms
This should be fully cross-platform, but I would really love to have additional contibutors and/or maintainers to join and help lead the effords on different platforms
### **Goals**
The idea behind the fork is to enable latest technologies and advances in text-to-image generation
*Sometimes this is not the same as "as simple as possible to use"*
If you are looking an amazing simple-to-use Stable Diffusion tool, I'd suggest [InvokeAI](https://invoke-ai.github.io/InvokeAI/) specifically due to its automated installer and ease of use
General goals:
- Cross-platform
- Create uniform experience while automatically managing any platform specific differences
- Performance
- Enable best possible performance on all platforms
- Ease-of-Use
- Automatically handle all requirements, dependencies, flags regardless of platform
- Integrate all best options for uniform out-of-the-box experience without the need to tweak anything manually
- Look-and-Feel
- Create modern, intuitive and clean UI
- Up-to-Date
- Keep code up to date with latest advanced in text-to-image generation
## Credits
- Main credit goes to [Automatic1111 WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
- Additional credits are listed in [Credits](https://github.com/AUTOMATIC1111/stable-diffusion-webui/#credits)
- Licenses for modules are listed in [Licenses](html/licenses.html)
### **Docs**
- [Radme](README.md)
- [ToDo](TODO.md)
- [Changelog](CHANGELOG.md)
- [CLI Tools](cli/README.md)
<br>
javascript/hires_fix.js
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@@ -1,5 +1,5 @@
/* global gradioApp, opts */
function onCalcResolutionHires(enable, width, height, hr_scale, hr_resize_x, hr_resize_y) {
function onCalcResolutionHires(enable_hr, width, height, hr_scale, hr_resize_x, hr_resize_y) {
function setInactive(elem, inactive) {
elem.classList.toggle('inactive', !!inactive);
}
@@ -10,5 +10,5 @@ function onCalcResolutionHires(enable, width, height, hr_scale, hr_resize_x, hr_
setInactive(hrUpscaleBy, opts.use_old_hires_fix_width_height || hr_resize_x > 0 || hr_resize_y > 0);
setInactive(hrResizeX, opts.use_old_hires_fix_width_height || hr_resize_x == 0);
setInactive(hrResizeY, opts.use_old_hires_fix_width_height || hr_resize_y == 0);
return [enable, width, height, hr_scale, hr_resize_x, hr_resize_y];
return [enable_hr, width, height, hr_scale, hr_resize_x, hr_resize_y];
}
modules/ui.py
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@@ -39,6 +39,7 @@ if not cmd_opts.share and not cmd_opts.listen:
def gr_show(visible=True):
print('HERE1')
return {"visible": visible, "__type__": "update"}
@@ -378,10 +379,11 @@ def create_ui():
with FormGroup(visible=False, elem_id="txt2img_hires_fix") as hr_options:
with FormRow(elem_id="txt2img_hires_fix_row1", variant="compact"):
hr_upscaler = gr.Dropdown(label="Upscaler", elem_id="txt2img_hr_upscaler", choices=[*modules.shared.latent_upscale_modes, *[x.name for x in modules.shared.sd_upscalers]], value=modules.shared.latent_upscale_default_mode)
hr_second_pass_steps = gr.Slider(minimum=0, maximum=150, step=1, label='Hires steps', value=0, elem_id="txt2img_hires_steps")
denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.7, elem_id="txt2img_denoising_strength")
hr_second_pass_steps = gr.Slider(minimum=0, maximum=99, step=1, label='Hires steps', value=0, elem_id="txt2img_hires_steps")
with FormRow(elem_id="txt2img_hires_fix_row2", variant="compact"):
denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.7, elem_id="txt2img_denoising_strength")
hr_scale = gr.Slider(minimum=1.0, maximum=4.0, step=0.05, label="Upscale by", value=2.0, elem_id="txt2img_hr_scale")
with FormRow(elem_id="txt2img_hires_fix_row3", variant="compact"):
hr_resize_x = gr.Slider(minimum=0, maximum=2048, step=8, label="Resize width to", value=0, elem_id="txt2img_hr_resize_x")
hr_resize_y = gr.Slider(minimum=0, maximum=2048, step=8, label="Resize height to", value=0, elem_id="txt2img_hr_resize_y")
elif category == "override_settings":
@@ -394,15 +396,9 @@ def create_ui():
for preview_input in hr_resolution_preview_inputs:
preview_input.change(
fn=calc_resolution_hires,
inputs=hr_resolution_preview_inputs,
outputs=[hr_final_resolution],
show_progress=False,
)
preview_input.change(
None,
_js="onCalcResolutionHires",
inputs=hr_resolution_preview_inputs,
outputs=[],
outputs=[hr_final_resolution],
show_progress=False,
)
requirements.txt
+1 -1
View File
@@ -53,7 +53,7 @@ diffusers==0.16.1
einops==0.4.1
gradio==3.32.0
numexpr==2.8.4
numpy==1.24.3
numpy==1.23.5
numba==0.57.0
pandas==1.5.3
protobuf==3.20.3