- A couple of users have reported that switching back and forth
between ckpt models is causing a "GPU out of memory" crash.
Traceback suggests there is actually a CPU RAM issue.
- This speculative test simply performs a round of garbage collection
before the point where the crash occurs.
* Initial Localization Implementation
* Fix Initial Spinner
* Language Picker Dropdown
* RU Localization Update
Co-Authored-By: Artur <83028930+netsvetaev@users.noreply.github.com>
* Fixed localization breaking themes
* useUpdateTranslation Hook
To force trigger translations for data objects
* Localize Tab Data
* Localize Prompt Input & Current Image Buttons
* Localize Gallery & Bug FIxes
Fix a bug where the delete image from the context menu wasn't working. Removed tooltips that were broken as they don't work in context menu.
* Fix localization breaking in production
* Add Toast Localization Support
* Localize Unified Canvas
* Localize WIP Tabs
* Localize Hotkeys
* Localize Settings
* RU Localization Update
Co-Authored-By: Artur <83028930+netsvetaev@users.noreply.github.com>
* Add Support for Italian and Portuguese
* Localize Toasts
* Fix width of language picker items
* Localize Backend Messages
* Disable Debug Messages
* Add Support for French
* Fix missing localization for a string in the SettingsModal
* Disable French
* Styling updates to normalize text and accommodate other langs
* Add Portuguese Brazilian
* Fix Hotkey headers not being localized.
* Fix styling issue on models tag in Settings
* Fix Slider Styling to accommodate different languages
* Fix slider styling in light mode.
* Add German
* Add Italian
* Add Polish
* Update Italian
* Localized Frontend Build
* Updated RU Translations
* Fresh Build with updated RU changes
* Bug Fixes and Loc Updates
* Updated Frontend Build
* Fresh Build
Co-authored-by: Artur <83028930+netsvetaev@users.noreply.github.com>
* add example of using -from_file to read from a script
Addresses #1654, #473, #566, #1008 at least partially.
* fix bug in code example
* improve docs for !fetch and !replay
* enable rendering of images in GH WebUI
also fix indention in some bullet lists
Co-authored-by: mauwii <Mauwii@outlook.de>
When using the inpainting model, the following sequence of events
would cause a predictable crash:
1. Use unified canvas to outcrop a portion of the image.
2. Accept outcropped image and import into img2img
3. Try any img2img operation
This closes#1596.
The crash was:
```
operands could not be broadcast together with shapes (320,512) (512,576)
Traceback (most recent call last):
File "/data/lstein/InvokeAI/backend/invoke_ai_web_server.py", line 1125, in generate_images
self.generate.prompt2image(
File "/data/lstein/InvokeAI/ldm/generate.py", line 492, in prompt2image
results = generator.generate(
File "/data/lstein/InvokeAI/ldm/invoke/generator/base.py", line 98, in generate
image = make_image(x_T)
File "/data/lstein/InvokeAI/ldm/invoke/generator/omnibus.py", line 138, in make_image
return self.sample_to_image(samples)
File "/data/lstein/InvokeAI/ldm/invoke/generator/omnibus.py", line 173, in sample_to_image
corrected_result = super(Img2Img, self).repaste_and_color_correct(gen_result, self.pil_image, self.pil_mask, self.mask_blur_radius)
File "/data/lstein/InvokeAI/ldm/invoke/generator/base.py", line 148, in repaste_and_color_correct
mask_pixels = init_a_pixels * init_mask_pixels > 0
ValueError: operands could not be broadcast together with shapes (320,512) (512,576)
```
This error was caused by the image and its mask not being of identical
size due to the outcropping operation. The ultimate cause of this
error has something to do with different code paths being followed in
the `inpaint` vs the `omnibus` modules.
Since omnibus will be obsoleted by diffusers, I have chosen just to
work around the problem rather than track it down to its source. The
only ill effect is that color correction will not be applied to the
first image created by `img2img` after applying the outcrop and
immediately importing into the img2img canvas. Since the inpainting
model has less of a color drift problem than the standard model, this
is unlikely to be problematic.
* defer patchmatch loading
Because of the way that patchmatch was loaded early at import time, it
was impossible to turn off the attempted loading with --no-patchmatch.
In addition, the patchmatch loading messages appear early on during
initialization, interfering with ability to print out the version
cleanly when --version provided to invoke script.
This commit creates a thin wrapper class for patch_match that is only
loaded when needed, solving both problems.
* create a singleton patchmatch object for use in inpainting
This creates a thin wrapper to patchmatch which loads the module
on demand, respecting the global "trypatchmatch" option.
* address 2d round of issues in PR 2039 comments
* Patchmatch->PatchMatch and misc cleanup
* Correct asset link
Minor documentation fix to correct linked asset.
* fix switched graphics
also:
- add blanks before/after figure tag
(makes the screenshot also appear in github)
- use a table in inpainting example to have the pics side by side
Co-authored-by: mauwii <Mauwii@outlook.de>
* add --version to invoke.py arguments
This commit allows invoke.py to print out its name and version
number when given the --version argument. I had to move some
status messages around in order to make the output clean.
There is still an early message about initializing patchmatch
that interferes with a clean print of the version, and in fact the
--no-patchmatch argument is not doing anything. This will be the
subject of a subsequent PR.
* export APP_ID and APP_VERSION
Needed to support the web backend.
* (config) avoid failure when huggingface token is not set
it is not required for model download, and we are handling the
saving of the token during huggingface authentication phase elsewhere.
* (config) safely print to non-tty terminals where width can not be determined
