mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
3b58413d9f
37 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
psychedelicious
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a1b1a48fb3
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Fixes PYTORCH_ENABLE_MPS_FALLBACK not set correctly
`torch` wasn't seeing the environment variable. I suspect this is because it was imported before the variable was set, so was running with a different environment. Many `torch` ops are supported on MPS so this wasn't noticed immediately, but some samplers like k_dpm_2 still use unsupported operations and need this fallback. |
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Matthias Wild
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01a2b8c05b
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Adapt latest changes to Dockerfile (#2478)
* remove non maintained Dockerfile * adapt Docker related files to latest changes - also build the frontend when building the image - skip user response if INVOKE_MODEL_RECONFIGURE is set - split INVOKE_MODEL_RECONFIGURE to support more than one argument * rename `docker-build` dir to `docker` * update build-container.yml - rename image to invokeai - add cpu flavor - add metadata to build summary - enable caching - remove build-cloud-img.yml * fix yarn cache path, link copyjob |
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Lincoln Stein
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2202288eb2
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Merge branch 'main' into dev/installer | ||
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Lincoln Stein
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fc3378bb74
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Load legacy ckpt files as diffusers models (#2468)
* refactor ckpt_to_diffuser to allow converted pipeline to remain in memory - This idea was introduced by Damian - Note that although I attempted to use the updated HuggingFace module pipelines/stable_diffusion/convert_from_ckpt.py, it was unable to convert safetensors files for reasons I didn't dig into. - Default is to extract EMA weights. * add --ckpt_convert option to load legacy ckpt files as diffusers models - not quite working - I'm getting artifacts and glitches in the converted diffuser models - leave as draft for time being * do not include safety checker in converted files * add ability to control which vae is used API now allows the caller to pass an external VAE model to the checkpoint conversion process. In this way, if an external VAE is specified in the checkpoint's config stanza, this VAE will be used when constructing the diffusers model. Tested with both regular and inpainting 1.X models. Not tested with SD 2.X models! --------- Co-authored-by: Jonathan <34005131+JPPhoto@users.noreply.github.com> Co-authored-by: Damian Stewart <null@damianstewart.com> |
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Lincoln Stein
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8ce9f07223
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Merge branch 'main' into dev/installer | ||
mauwii
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6fdc9ac224 | re-enable INVOKE_MODEL_RECONFIGURE | ||
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Lincoln Stein
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fc8e3dbcd3 |
fix crash when editing name of model
- fixes a spurious "unknown model name" error when trying to edit the short name of an existing model. - relaxes naming requirements to include the ':' and '/' characters in model names |
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Lincoln Stein
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9ad4c03277 |
Various fixes
1) Downgrade numpy to avoid dependency conflict with numba 2) Move all non ldm/invoke files into `invokeai`. This includes assets, backend, frontend, and configs. 3) Fix up way that the backend finds the frontend and the generator finds the NSFW caution.png icon. |
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Eugene Brodsky
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34e0d7aaa8 | (config) rename all mentions of scripts/configure_invokeai.py to the new invokeai-configure command | ||
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Eugene Brodsky
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2ff47cdecf |
(scripts) rename/reorganize CLI scripts
- add torch MPS fallback directly to CLI.py - rename CLI scripts with `invoke-...` prefix - delete long-deprecated scripts - add a missing package dependency - delete setup.py as obsolete |
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Eugene Brodsky
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9997fde144 |
(config) moving the 'configs' dir into the 'config' module
This allows reliable distribution of the initial 'configs' directory with the Python package, and enables the configuration script to be running from anywhere, as long as the virtual environment is available on the sys.path |
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Lincoln Stein
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9dc3832b9b | clean up merge_models | ||
Lincoln Stein
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61403fe306 | fix second conflict in CLI.py | ||
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Lincoln Stein
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b2f288d6ec | fix conflict in CLI.py | ||
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Lincoln Stein
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9f32daab2d
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Merge branch 'main' into lstein-import-safetensors | ||
Kevin Turner
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d7554b01fd
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fix typo in prompt | ||
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Kevin Turner
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70f8793700
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Merge branch 'main' into feat/import-with-vae | ||
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Lincoln Stein
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96a900d1fe |
correctly import diffusers models by their local path
- Corrects a bug in which the local path was treated as a repo_id |
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mauwii
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5afb63e41b
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replace legacy setup.py with pyproject.toml
other changes which where required:
- move configure_invokeai.py into ldm.invoke
- update files which imported configure_invokeai to use new location:
- ldm/invoke/CLI.py
- scripts/load_models.py
- scripts/preload_models.py
- update test-invoke-pip.yml:
- remove pr type "converted_to_draft"
- remove reference to dev/diffusers
- remove no more needed requirements from matrix
- add pytorch to matrix
- install via `pip3 install --use-pep517 .`
- use the created executables
- this should also fix configure_invoke not executed in windows
To install use `pip install --use-pep517 -e .` where `-e` is optional
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Lincoln Stein
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171f4aa71b |
[feat] Provide option to disable xformers from command line
Starting `invoke.py` with --no-xformers will disable memory-efficient-attention support if xformers is installed. --xformers will enable support, but this is already the default. |
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Lincoln Stein
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7bd2220a24 |
fix two bugs in model import
1. !import_model did not allow user to specify VAE file. This is now fixed. 2. !del_model did not offer the user the opportunity to delete the underlying weights file or diffusers directory. This is now fixed. |
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Lincoln Stein
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b9ab9ffb4a
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Merge branch 'main' into lstein-import-safetensors | ||
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Lincoln Stein
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8a31e5c5e3 | allow safetensors models to be imported | ||
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Lincoln Stein
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088cd2c4dd |
further tweaks to model management
- Work around problem with OmegaConf.update() that prevented model names from containing periods. - Fix logic bug in !delete_model that didn't check for existence of model in config file. |
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Kevin Turner
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6fdbc1978d
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use 🧨diffusers model (#1583)
* initial commit of DiffusionPipeline class * spike: proof of concept using diffusers for txt2img * doc: type hints for Generator * refactor(model_cache): factor out load_ckpt * model_cache: add ability to load a diffusers model pipeline and update associated things in Generate & Generator to not instantly fail when that happens * model_cache: fix model default image dimensions * txt2img: support switching diffusers schedulers * diffusers: let the scheduler do its scaling of the initial latents Remove IPNDM scheduler; it is not behaving. * web server: update image_progress callback for diffusers data * diffusers: restore prompt weighting feature * diffusers: fix set-sampler error following model switch * diffusers: use InvokeAIDiffuserComponent for conditioning * cross_attention_control: stub (no-op) implementations for diffusers * model_cache: let offload_model work with DiffusionPipeline, sorta. * models.yaml.example: add diffusers-format model, set as default * test-invoke-conda: use diffusers-format model test-invoke-conda: put huggingface-token where the library can use it * environment-mac: upgrade to diffusers 0.7 (from 0.6) this was already done for linux; mac must have been lost in the merge. * preload_models: explicitly load diffusers models In non-interactive mode too, as long as you're logged in. * fix(model_cache): don't check `model.config` in diffusers format clean-up from recent merge. * diffusers integration: support img2img * dev: upgrade to diffusers 0.8 (from 0.7.1) We get to remove some code by using methods that were factored out in the base class. * refactor: remove backported img2img.get_timesteps now that we can use it directly from diffusers 0.8.1 * ci: use diffusers model * dev: upgrade to diffusers 0.9 (from 0.8.1) * lint: correct annotations for Python 3.9. * lint: correct AttributeError.name reference for Python 3.9. * CI: prefer diffusers-1.4 because it no longer requires a token The RunwayML models still do. * build: there's yet another place to update requirements? * configure: try to download models even without token Models in the CompVis and stabilityai repos no longer require them. (But runwayml still does.) * configure: add troubleshooting info for config-not-found * fix(configure): prepend root to config path * fix(configure): remove second `default: true` from models example * CI: simplify test-on-push logic now that we don't need secrets The "test on push but only in forks" logic was only necessary when tests didn't work for PRs-from-forks. * create an embedding_manager for diffusers * internal: avoid importing diffusers DummyObject see https://github.com/huggingface/diffusers/issues/1479 * fix "config attributes…not expected" diffusers warnings. * fix deprecated scheduler construction * work around an apparent MPS torch bug that causes conditioning to have no effect * 🚧 post-rebase repair * preliminary support for outpainting (no masking yet) * monkey-patch diffusers.attention and use Invoke lowvram code * add always_use_cpu arg to bypass MPS * add cross-attention control support to diffusers (fails on MPS) For unknown reasons MPS produces garbage output with .swap(). Use --always_use_cpu arg to invoke.py for now to test this code on MPS. * diffusers support for the inpainting model * fix debug_image to not crash with non-RGB images. * inpainting for the normal model [WIP] This seems to be performing well until the LAST STEP, at which point it dissolves to confetti. * fix off-by-one bug in cross-attention-control (#1774) prompt token sequences begin with a "beginning-of-sequence" marker <bos> and end with a repeated "end-of-sequence" marker <eos> - to make a default prompt length of <bos> + 75 prompt tokens + <eos>. the .swap() code was failing to take the column for <bos> at index 0 into account. the changes here do that, and also add extra handling for a single <eos> (which may be redundant but which is included for completeness). based on my understanding and some assumptions about how this all works, the reason .swap() nevertheless seemed to do the right thing, to some extent, is because over multiple steps the conditioning process in Stable Diffusion operates as a feedback loop. a change to token n-1 has flow-on effects to how the [1x4x64x64] latent tensor is modified by all the tokens after it, - and as the next step is processed, all the tokens before it as well. intuitively, a token's conditioning effects "echo" throughout the whole length of the prompt. so even though the token at n-1 was being edited when what the user actually wanted was to edit the token at n, it nevertheless still had some non-negligible effect, in roughly the right direction, often enough that it seemed like it was working properly. * refactor common CrossAttention stuff into a mixin so that the old ldm code can still work if necessary * inpainting for the normal model. I think it works this time. * diffusers: reset num_vectors_per_token sync with |
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Lincoln Stein
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c3f82d4481
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update version number (#2199) | ||
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Lincoln Stein
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3929bd3e13
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Lstein release candidate 2.2.5 (#2137)
* installer tweaks in preparation for v2.2.5 - pin numpy to 1.23.* to avoid requirements conflict with numba - update.sh and update.bat now accept a tag or branch string, not a URL - update scripts download latest requirements-base before updating. * update.bat.in debugged and working * update pulls from "latest" now * bump version number * fix permissions on create_installer.sh * give Linux user option of installing ROCm or CUDA * rc2.2.5 (install.sh) relative path fixes (#2155) * (installer) fix bug in resolution of relative paths in linux install script point installer at 2.2.5-rc1 selecting ~/Data/myapps/ as location would create a ./~/Data/myapps instead of expanding the ~/ to the value of ${HOME} also, squash the trailing slash in path, if it was entered by the user * (installer) add option to automatically start the app after install also: when exiting, print the command to get back into the app * remove extraneous whitespace * model_cache applies rootdir to config path * bring installers up to date with 2.2.5-rc2 * bump rc version * create_installer now adds version number * rebuild frontend * bump rc# * add locales to frontend dist package - bump to patchlevel 6 * bump patchlevel * use invoke-ai version of GFPGAN - This version is very slightly modified to allow weights files to be pre-downloaded by the configure script. * fix formatting error during startup * bump patch level * workaround #2 for GFPGAN facexlib() weights downloading * bump patch * ready for merge and release * remove extraneous comment * set PYTORCH_ENABLE_MPS_FALLBACK directly in invoke.py Co-authored-by: Eugene Brodsky <ebr@users.noreply.github.com> |
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Lincoln Stein
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6e98b5535d
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add --version to invoke.py arguments (#2038)
* 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. |
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Eugene Brodsky
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f41da11d66
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Relax Huggingface login requirement during setup (#2046)
* (config) handle huggingface token more gracefully * (docs) document HuggingFace token requirement for Concepts * (cli) deprecate the --(no)-interactive CLI flag It was previously only used to skip the SD weights download, and therefore the prompt for Huggingface token (the "interactive" part). Now that we don't need a Huggingface token to download the SD weights at all, we can replace this flag with "--skip-sd-weights", to clearly describe its purpose The `--(no)-interactive` flag still functions the same, but shows a deprecation message * (cli) fix emergency_model_reconfigure argument parsing * (config) fix installation issues on systems with non-UTF8 locale Co-authored-by: Matthias Wild <40327258+mauwii@users.noreply.github.com> |
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blessedcoolant
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ffa54f4a35 | Fix --config arg not being recognized | ||
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Lincoln Stein
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6c015eedb3
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better error reporting when root directory not found (#2001)
- The invoke.py script now checks that the root (runtime) directory contains the expected config/models.yaml file and if it doesn't exits with a helpful error message about how to set the proper root. - Formerly the script would fail with a "bad model" message and try to redownload its models, which is not helpful in the case that the root is missing or damaged. |
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Matthias Wild
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1a1625406c
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Make Dockerfile cloud ready (tested on runpod) (#1950)
* Push dockerfile (#18) * update build-container.yml * add login step to build-container.yml * update job name * update matrix: add registry and platforms also set latest only for cuda image * quote string * use latest for amd and cuda image * separate images for cuda and amd * change latest from auto to true * configure_invoke -y instead of --interactive * fix argument to --yes * update matrix: - use flavor instead of pip-requirements - add flavor `cloud` - add `dockerfile` * introduce INVOKE_MODEL_RECONFIGURE * add `--cap-add=sys_nice` to run.sh * update Dockerfile: install wheel * only have main branch in action again * disable push of cloud image for now since it still has it's own workflow, but PoC succeeded * remove now untrue comments in top * install pip, setuptools and wheel in sep. step * add labels to the image * remove doubled installation of wheel |
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Lincoln Stein
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0439b51a26
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Simple Installer for Unified Directory Structure, Initial Implementation (#1819)
* partially working simple installer * works on linux * fix linux requirements files * read root environment variable in right place * fix cat invokeai.init in test workflows * fix classical cp error in test-invoke-pip.yml * respect --root argument now * untested bat installers added * windows install.bat now working fix logic to find frontend files * rename simple_install to "installer" 1. simple_install => 'installer' 2. source and binary install directories are removed * enable update scripts to update requirements - Also pin requirements to known working commits. - This may be a breaking change; exercise with caution - No functional testing performed yet! * update docs and installation requirements NOTE: This may be a breaking commit! Due to the way the installer works, I have to push to a public branch in order to do full end-to-end testing. - Updated installation docs, removing binary and source installers and substituting the "simple" unified installer. - Pin requirements for the "http:" downloads to known working commits. - Removed as much as possible the invoke-ai forks of others' repos. * fix directory path for installer * correct requirement/environment errors * exclude zip files in .gitignore * possible fix for dockerbuild * ready for torture testing - final Windows bat file tweaks - copy environments-and-requirements to the runtime directory so that the `update.sh` script can run. This is not ideal, since we lose control over the requirements. Better for the update script to pull the proper updated requirements script from the repository. * allow update.sh/update.bat to install arbitrary InvokeAI versions - Can pass the zip file path to any InvokeAI release, branch, commit or tag, and the installer will try to install it. - Updated documentation - Added Linux Python install hints. * use binary installer's :err_exit function * user diffusers 0.10.0 * added logic for CPPFLAGS on mac * improve windows install documentation - added information on a couple of gotchas I experienced during windows installation, including DLL loading errors experienced when Visual Studio C++ Redistributable was not present. * tagged to pull from 2.2.4-rc1 - also fix error of shell window closing immediately if suitable python not found Co-authored-by: mauwii <Mauwii@outlook.de> |
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Damian Stewart
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786b8878d6
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Save and display per-token attention maps (#1866)
* attention maps saving to /tmp * tidy up diffusers branch backporting of cross attention refactoring * base64-encoding the attention maps image for generationResult * cleanup/refactor conditioning.py * attention maps and tokens being sent to web UI * attention maps: restrict count to actual token count and improve robustness * add argument type hint to image_to_dataURL function Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com> Co-authored-by: damian <git@damianstewart.com> Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com> |
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Jonathan
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06369d07c0 | Update CLI.py | ||
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blessedcoolant
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1d1988683b | Fix Embedding Dir not working | ||
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Lincoln Stein
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0f4d71ed63
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Merge dev into main for 2.2.0 (#1642)
* Fixes inpainting + code cleanup
* Disable stage info in Inpainting Tab
* Mask Brush Preview now always at 0.5 opacity
The new mask is only visible properly at max opacity but at max opacity the brush preview becomes fully opaque blocking the view. So the mask brush preview no remains at 0.5 no matter what the Brush opacity is.
* Remove save button from Canvas Controls (cleanup)
* Implements invert mask
* Changes "Invert Mask" to "Preserve Masked Areas"
* Fixes (?) spacebar issues
* Patches redux-persist and redux-deep-persist with debounced persists
Our app changes redux state very, very often. As our undo/redo history grows, the calls to persist state start to take in the 100ms range, due to a the deep cloning of the history. This causes very noticeable performance lag.
The deep cloning is required because we need to blacklist certain items in redux from being persisted (e.g. the app's connection status).
Debouncing the whole process of persistence is a simple and effective solution. Unfortunately, `redux-persist` dropped `debounce` between v4 and v5, replacing it with `throttle`. `throttle`, instead of delaying the expensive action until a period of X ms of inactivity, simply ensures the action is executed at least every X ms. Of course, this does not fix our performance issue.
The patch is very simple. It adds a `debounce` argument - a number of milliseconds - and debounces `redux-persist`'s `update()` method (provided by `createPersistoid`) by that many ms.
Before this, I also tried writing a custom storage adapter for `redux-persist` to debounce the calls to `localStorage.setItem()`. While this worked and was far less invasive, it doesn't actually address the issue. It turns out `setItem()` is a very fast part of the process.
We use `redux-deep-persist` to simplify the `redux-persist` configuration, which can get complicated when you need to blacklist or whitelist deeply nested state. There is also a patch here for that library because it uses the same types as `redux-persist`.
Unfortunately, the last release of `redux-persist` used a package `flat-stream` which was malicious and has been removed from npm. The latest commits to `redux-persist` (about 1 year ago) do not build; we cannot use the master branch. And between the last release and last commit, the changes have all been breaking.
Patching this last release (about 3 years old at this point) directly is far simpler than attempting to fix the upstream library's master branch or figuring out an alternative to the malicious and now non-existent dependency.
* Adds debouncing
* Fixes AttributeError: 'dict' object has no attribute 'invert_mask'
* Updates package.json to use redux-persist patches
* Attempts to fix redux-persist debounce patch
* Fixes undo/redo
* Fixes invert mask
* Debounce > 300ms
* Limits history to 256 for each of undo and redo
* Canvas styling
* Hotkeys improvement
* Add Metadata To Viewer
* Increases CFG Scale max to 200
* Fix gallery width size for Outpainting
Also fixes the canvas resizing failing n fast pushes
* Fixes disappearing canvas grid lines
* Adds staging area
* Fixes "use all" not setting variationAmount
Now sets to 0 when the image had variations.
* Builds fresh bundle
* Outpainting tab loads to empty canvas instead of upload
* Fixes wonky canvas layer ordering & compositing
* Fixes error on inpainting paste back
`TypeError: 'float' object cannot be interpreted as an integer`
* Hides staging area outline on mouseover prev/next
* Fixes inpainting not doing img2img when no mask
* Fixes bbox not resizing in outpainting if partially off screen
* Fixes crashes during iterative outpaint. Still doesn't work correctly though.
* Fix iterative outpainting by restoring original images
* Moves image uploading to HTTP
- It all seems to work fine
- A lot of cleanup is still needed
- Logging needs to be added
- May need types to be reviewed
* Fixes: outpainting temp images show in gallery
* WIP refactor to unified canvas
* Removes console.log from redux-persist patch
* Initial unification of canvas
* Removes all references to split inpainting/outpainting canvas
* Add patchmatch and infill_method parameter to prompt2image (options are 'patchmatch' or 'tile').
* Fixes app after removing in/out-painting refs
* Rebases on dev, updates new env files w/ patchmatch
* Organises features/canvas
* Fixes bounding box ending up offscreen
* Organises features/canvas
* Stops unnecessary canvas rescales on gallery state change
* Fixes 2px layout shift on toggle canvas lock
* Clips lines drawn while canvas locked
When drawing with the locked canvas, if a brush stroke gets too close to the edge of the canvas and its stroke would extend past the edge of the canvas, the edge of that stroke will be seen after unlocking the canvas.
This could cause a problem if you unlock the canvas and now have a bunch of strokes just outside the init image area, which are far back in undo history and you cannot easily erase.
With this change, lines drawn while the canvas is locked get clipped to the initial image bbox, fixing this issue.
Additionally, the merge and save to gallery functions have been updated to respect the initial image bbox so they function how you'd expect.
* Fixes reset canvas view when locked
* Fixes send to buttons
* Fixes bounding box not being rounded to 64
* Abandons "inpainting" canvas lock
* Fixes save to gallery including empty area, adds download and copy image
* Fix Current Image display background going over image bounds
* Sets status immediately when clicking Invoke
* Adds hotkeys and refactors sharing of konva instances
Adds hotkeys to canvas. As part of this change, the access to konva instance objects was refactored:
Previously closure'd refs were used to indirectly get access to the konva instances outside of react components.
Now, a getter and setter function are used to provide access directly to the konva objects.
* Updates hotkeys
* Fixes canvas showing spinner on first load
Also adds good default canvas scale and positioning when no image is on it
* Fixes possible hang on MaskCompositer
* Improves behaviour when setting init canvas image/reset view
* Resets bounding box coords/dims when no image present
* Disables canvas actions which cannot be done during processing
* Adds useToastWatcher hook
- Dispatch an `addToast` action with standard Chakra toast options object to add a toast to the toastQueue
- The hook is called in App.tsx and just useEffect's w/ toastQueue as dependency to create the toasts
- So now you can add toasts anywhere you have access to `dispatch`, which includes middleware and thunks
- Adds first usage of this for the save image buttons in canvas
* Update Hotkey Info
Add missing tooltip hotkeys and update the hotkeys modal to reflect the new hotkeys for the Unified Canvas.
* Fix theme changer not displaying current theme on page refresh
* Fix tab count in hotkeys panel
* Unify Brush and Eraser Sizes
* Fix staging area display toggle not working
* Staging Area delete button is now red
So it doesnt feel blended into to the rest of them.
* Revert "Fix theme changer not displaying current theme on page refresh"
This reverts commit 903edfb803e743500242589ff093a8a8a0912726.
* Add arguments to use SSL to webserver
* Integrates #1487 - touch events
Need to add:
- Pinch zoom
- Touch-specific handling (some things aren't quite right)
* Refactors upload-related async thunks
- Now standard thunks instead of RTK createAsyncThunk()
- Adds toasts for all canvas upload-related actions
* Reorganises app file structure
* Fixes Canvas Auto Save to Gallery
* Fixes staging area outline
* Adds staging area hotkeys, disables gallery left/right when staging
* Fixes Use All Parameters
* Fix metadata viewer image url length when viewing intermediate
* Fixes intermediate images being tiny in txt2img/img2img
* Removes stale code
* Improves canvas status text and adds option to toggle debug info
* Fixes paste image to upload
* Adds model drop-down to site header
* Adds theme changer popover
* Fix missing key on ThemeChanger map
* Fixes stage position changing on zoom
* Hotkey Cleanup
- Viewer is now Z
- Canvas Move tool is V - sync with PS
- Removed some unused hotkeys
* Fix canvas resizing when both options and gallery are unpinned
* Implements thumbnails for gallery
- Thumbnails are saved whenever an image is saved, and when gallery requests images from server
- Thumbnails saved at original image aspect ratio with width of 128px as WEBP
- If the thumbnail property of an image is unavailable for whatever reason, the image's full size URL is used instead
* Saves thumbnails to separate thumbnails directory
* Thumbnail size = 256px
* Fix Lightbox Issues
* Disables canvas image saving functions when processing
* Fix index error on going past last image in Gallery
* WIP - Lightbox Fixes
Still need to fix the images not being centered on load when the image res changes
* Fixes another similar index error, simplifies logic
* Reworks canvas toolbar
* Fixes canvas toolbar upload button
* Cleans up IAICanvasStatusText
* Improves metadata handling, fixes #1450
- Removes model list from metadata
- Adds generation's specific model to metadata
- Displays full metadata in JSON viewer
* Gracefully handles corrupted images; fixes #1486
- App does not crash if corrupted image loaded
- Error is displayed in the UI console and CLI output if an image cannot be loaded
* Adds hotkey to reset canvas interaction state
If the canvas' interaction state (e.g. isMovingBoundingBox, isDrawing, etc) get stuck somehow, user can press Escape to reset the state.
* Removes stray console.log()
* Fixes bug causing gallery to close on context menu open
* Minor bugfixes
- When doing long-running canvas image exporting actions, display indeterminate progress bar
- Fix staging area image outline not displaying after committing/discarding results
* Removes unused imports
* Fixes repo root .gitignore ignoring frontend things
* Builds fresh bundle
* Styling updates
* Removes reasonsWhyNotReady
The popover doesn't play well with the button being disabled, and I don't think adds any value.
* Image gallery resize/style tweaks
* Styles buttons for clearing canvas history and mask
* First pass on Canvas options panel
* Fixes bug where discarding staged images results in loss of history
* Adds Save to Gallery button to staging toolbar
* Rearrange some canvas toolbar icons
Put brush stuff together and canvas movement stuff together
* Fix gallery maxwidth on unified canvas
* Update Layer hotkey display to UI
* Adds option to crop to bounding box on save
* Masking option tweaks
* Crop to Bounding Box > Save Box Region Only
* Adds clear temp folder
* Updates mask options popover behavior
* Builds fresh bundle
* Fix styling on alert modals
* Fix input checkbox styling being incorrect on light theme
* Styling fixes
* Improves gallery resize behaviour
* Cap gallery size on canvas tab so it doesnt overflow
* Fixes bug when postprocessing image with no metadata
* Adds IAIAlertDialog component
* Moves Loopback to app settings
* Fixes metadata viewer not showing metadata after refresh
Also adds Dream-style prompt to metadata
* Adds outpainting specific options
* Linting
* Fixes gallery width on lightbox, fixes gallery button expansion
* Builds fresh bundle
* Fix Lightbox images of different res not centering
* Update feature tooltip text
* Highlight mask icon when on mask layer
* Fix gallery not resizing correctly on open and close
* Add loopback to just img2img. Remove from settings.
* Fix to gallery resizing
* Removes Advanced checkbox, cleans up options panel for unified canvas
* Minor styling fixes to new options panel layout
* Styling Updates
* Adds infill method
* Tab Styling Fixes
* memoize outpainting options
* Fix unnecessary gallery re-renders
* Isolate Cursor Pos debug text on canvas to prevent rerenders
* Fixes missing postprocessed image metadata before refresh
* Builds fresh bundle
* Fix rerenders on model select
* Floating panel re-render fix
* Simplify fullscreen hotkey selector
* Add Training WIP Tab
* Adds Training icon
* Move full screen hotkey to floating to prevent tab rerenders
* Adds single-column gallery layout
* Fixes crash on cancel with intermediates enabled, fixes #1416
* Updates npm dependencies
* Fixes img2img attempting inpaint when init image has transparency
* Fixes missing threshold and perlin parameters in metadata viewer
* Renames "Threshold" > "Noise Threshold"
* Fixes postprocessing not being disabled when clicking use all
* Builds fresh bundle
* Adds color picker
* Lints & builds fresh bundle
* Fixes iterations being disabled when seed random & variations are off
* Un-floors cursor position
* Changes color picker preview to circles
* Fixes variation params not set correctly when recalled
* Fixes invoke hotkey not working in input fields
* Simplifies Accordion
Prep for adding reset buttons for each section
* Fixes mask brush preview color
* Committing color picker color changes tool to brush
* Color picker does not overwrite user-selected alpha
* Adds brush color alpha hotkey
* Lints
* Removes force_outpaint param
* Add inpaint size options to inpaint at a larger size than the actual inpaint image, then scale back down for recombination
* Bug fix for inpaint size
* Adds inpaint size (as scale bounding box) to UI
* Adds auto-scaling for inpaint size
* Improves scaled bbox display logic
* Fixes bug with clear mask and history
* Fixes shouldShowStagingImage not resetting to true on commit
* Builds fresh bundle
* Fixes canvas failing to scale on first run
* Builds fresh bundle
* Fixes unnecessary canvas scaling
* Adds gallery drag and drop to img2img/canvas
* Builds fresh bundle
* Fix desktop mode being broken with new versions of flaskwebgui
* Fixes canvas dimensions not setting on first load
* Builds fresh bundle
* stop crash on !import_models call on model inside rootdir
- addresses bug report #1546
* prevent "!switch state gets confused if model switching fails"
- If !switch were to fail on a particular model, then generate got
confused and wouldn't try again until you switch to a different working
model and back again.
- This commit fixes and closes #1547
* Revert "make the docstring more readable and improve the list_models logic"
This reverts commit
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