1. resize installer window to give more room for configure and download forms
2. replace '\' with '/' in directory names to allow user to drag-and-drop
folders into the dialogue boxes that accept directories.
3. similar change in CLI for the !import_model and !convert_model commands
4. better error reporting when a model download fails due to network errors
5. put the launcher scripts into a loop so that menu reappears after
invokeai, merge script, etc exits. User can quit with "Q".
6. do not try to download fp16 of sd-ft-mse-vae, since it doesn't exist.
7. cleaned up status reporting when installing models
- Detect when install failed for some reason and print helpful error
message rather than stack trace.
- Detect window size and resize to minimum acceptable values to provide
better display of configure and install forms.
- You can now achieve several effects:
`invokeai-configure`
This will use console-based UI to initialize invokeai.init,
download support models, and choose and download SD models
`invokeai-configure --yes`
Without activating the GUI, populate invokeai.init with default values,
download support models and download the "recommended" SD models
`invokeai-configure --default_only`
As above, but only download the default SD model (currently SD-1.5)
`invokeai-model-install`
Select and install models. This can be used to download arbitrary
models from the Internet, install HuggingFace models using their repo_id,
or watch a directory for models to load at startup time
`invokeai-model-install --yes`
Import the recommended SD models without a GUI
`invokeai-model-install --default_only`
As above, but only import the default model
1. The invokeai-configure script has now been refactored. The work of
selecting and downloading initial models at install time is now done
by a script named invokeai-initial-models (module
name is ldm.invoke.config.initial_model_select)
The calling arguments for invokeai-configure have not changed, so
nothing should break. After initializing the root directory, the
script calls invokeai-initial-models to let the user select the
starting models to install.
2. invokeai-initial-models puts up a console GUI with checkboxes to
indicate which models to install. It respects the --default_only
and --yes arguments so that CI will continue to work.
3. User can now edit the VAE assigned to diffusers models in the CLI.
4. Fixed a bug that caused a crash during model loading when the VAE
is set to None, rather than being empty.
- Adds an update action to launcher script
- This action calls new python script `invokeai-update`, which prompts
user to update to latest release version, main development version,
or an arbitrary git tag or branch name.
- It then uses `pip` to update to whatever tag was specified.
- This makes the launcher options menu on Windows look and act the same
as the Linux/Mac launcher, which previously was lacking the command-line
help option and didn't list item (6) as an option.
- help users to avoid glossing over per-platform prerequisites
- better link colouring
- update link to community instructions to install xcode command line tools
- To ensure a clean environment, the installer will now detect whether a
previous .venv exists in the install location, and move it to .venv-backup
before creating a fresh .venv.
- Any previous .venv-backup is deleted.
- User is informed of process.
- Rename configure_invokeai.py to invokeai_configure.py to be
consistent with installed script name
- Remove warning message about half-precision models not being
available during the model download process.
- adjust estimated file size reported by configure
- guesstimate disk space needed for "all" models
- fix up the "latest" tag to be named 'v2.3-latest'
if reinstalling over an existing installation where the .venv
was created with symlinks to system python instead of copies
of the python executable, the installer would raise a
SameFileError, because it would attempt to copy Python over
itself. This fixes the issue.
1. only load triton on linux machines
2. require pip >= 23.0 so that editable installs can run without setup.py
3. model files default to SD-1.5, not 2.1
4. use diffusers model of inpainting rather than ckpt
5. selected a new set of initial models based on # of likes at huggingface
- launcher scripts are installed *before* the configure script runs,
so that if something goes wrong in the configure script, the user
can run invoke.{sh,bat} and get the option to re-run configure
- fixed typo in invoke.sh which misspelled name of invokeai-configure
if running `python3 installer/main.py` from the source distribution,
it would fail because it expected to find a wheel.
this PR tries to perform a source install by going one level up the directory
tree and checking for `pyproject.toml` and `ldm` directory entries to
confirm (to a degree) that this is an InvokeAI distribution
- install.sh is now a thin wrapper around the pythonized install script
- install.bat not done yet - to follow
- user messaging is tailored to the current platform (paste shortcuts, file paths, etc)
- emit invoke.sh/invoke.bat scripts to the runtime dir
- improve launch scripts (add help option, etc)
- only emit the platform-specific scripts
if the config directory is missing, initialize it using the standard
process of copying it over, instead of failing to create the config file
this can happen if the user is re-running the config script in a directory which
already has the init file, but no configs dir
the 'setup.py install' method is deprecated in favour of a
build-system independent format: https://peps.python.org/pep-0517/
this is needed to install dependencies that don't have a pyproject.toml
file (only setup.py) in a forward-compatible way
There is a race condition affecting the 'tempfile' module on Windows.
A PermissionsError is raised when cleaning up the temp dir
Python3.10 introduced a flag to suppress this error.
Windows + Python3.9 users will receive an unpleasant stack trace for now
* 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 44a0055571
* diffusers: txt2img2img (hires_fix)
with so much slicing and dicing of pipeline methods to stitch them together
* refactor(diffusers): reduce some code duplication amongst the different tasks
* fixup! refactor(diffusers): reduce some code duplication amongst the different tasks
* diffusers: enable DPMSolver++ scheduler
* diffusers: upgrade to diffusers 0.10, add Heun scheduler
* diffusers(ModelCache): stopgap to make from_cpu compatible with diffusers
* CI: default to diffusers-1.5 now that runwayml token requirement is gone
* diffusers: update to 0.10 (and transformers to 4.25)
* diffusers: use xformers when available
diffusers no longer auto-enables this as of 0.10.2.
* diffusers: make masked img2img behave better with multi-step schedulers
re-randomizing the noise each step was confusing them.
* diffusers: work more better with more models.
fixed relative path problem with local models.
fixed models on hub not always having a `fp16` branch.
* diffusers: stopgap fix for attention_maps_callback crash after recent merge
* fixup import merge conflicts
correction for 061c5369a2
* test: add tests/inpainting inputs for masked img2img
* diffusers(AddsMaskedGuidance): partial fix for k-schedulers
Prevents them from crashing, but results are still hot garbage.
* fix --safety_checker arg parsing
and add note to diffusers loader about where safety checker gets called
* generate: fix import error
* CI: don't try to read the old init location
* diffusers: support loading an alternate VAE
* CI: remove sh-syntax if-statement so it doesn't crash powershell
* CI: fold strings in yaml because backslash is not line-continuation in powershell
* attention maps callback stuff for diffusers
* build: fix syntax error in environment-mac
* diffusers: add INITIAL_MODELS with diffusers-compatible repos
* re-enable the embedding manager; closes#1778
* Squashed commit of the following:
commit e4a956abc37fcb5cf188388b76b617bc5c8fda7d
Author: Damian Stewart <d@damianstewart.com>
Date: Sun Dec 18 15:43:07 2022 +0100
import new load handling from EmbeddingManager and cleanup
commit c4abe91a5ba0d415b45bf734068385668b7a66e6
Merge: 032e856e 1efc6397
Author: Damian Stewart <d@damianstewart.com>
Date: Sun Dec 18 15:09:53 2022 +0100
Merge branch 'feature_textual_inversion_mgr' into dev/diffusers_with_textual_inversion_manager
commit 032e856eefb3bbc39534f5daafd25764bcfcef8b
Merge: 8b4f0fe9 bc515e24
Author: Damian Stewart <d@damianstewart.com>
Date: Sun Dec 18 15:08:01 2022 +0100
Merge remote-tracking branch 'upstream/dev/diffusers' into dev/diffusers_with_textual_inversion_manager
commit 1efc6397fc6e61c1aff4b0258b93089d61de5955
Author: Damian Stewart <d@damianstewart.com>
Date: Sun Dec 18 15:04:28 2022 +0100
cleanup and add performance notes
commit e400f804ac471a0ca2ba432fd658778b20c7bdab
Author: Damian Stewart <d@damianstewart.com>
Date: Sun Dec 18 14:45:07 2022 +0100
fix bug and update unit tests
commit deb9ae0ae1016750e93ce8275734061f7285a231
Author: Damian Stewart <d@damianstewart.com>
Date: Sun Dec 18 14:28:29 2022 +0100
textual inversion manager seems to work
commit 162e02505dec777e91a983c4d0fb52e950d25ff0
Merge: cbad4583 12769b3d
Author: Damian Stewart <d@damianstewart.com>
Date: Sun Dec 18 11:58:03 2022 +0100
Merge branch 'main' into feature_textual_inversion_mgr
commit cbad45836c6aace6871a90f2621a953f49433131
Author: Damian Stewart <d@damianstewart.com>
Date: Sun Dec 18 11:54:10 2022 +0100
use position embeddings
commit 070344c69b0e0db340a183857d0a787b348681d3
Author: Damian Stewart <d@damianstewart.com>
Date: Sun Dec 18 11:53:47 2022 +0100
Don't crash CLI on exceptions
commit b035ac8c6772dfd9ba41b8eeb9103181cda028f8
Author: Damian Stewart <d@damianstewart.com>
Date: Sun Dec 18 11:11:55 2022 +0100
add missing position_embeddings
commit 12769b3d3562ef71e0f54946b532ad077e10043c
Author: Damian Stewart <d@damianstewart.com>
Date: Fri Dec 16 13:33:25 2022 +0100
debugging why it don't work
commit bafb7215eabe1515ca5e8388fd3bb2f3ac5362cf
Author: Damian Stewart <d@damianstewart.com>
Date: Fri Dec 16 13:21:33 2022 +0100
debugging why it don't work
commit 664a6e9e14
Author: Damian Stewart <d@damianstewart.com>
Date: Fri Dec 16 12:48:38 2022 +0100
use TextualInversionManager in place of embeddings (wip, doesn't work)
commit 8b4f0fe9d6e4e2643b36dfa27864294785d7ba4e
Author: Damian Stewart <d@damianstewart.com>
Date: Fri Dec 16 12:48:38 2022 +0100
use TextualInversionManager in place of embeddings (wip, doesn't work)
commit ffbe1ab11163ba712e353d89404e301d0e0c6cdf
Merge: 6e4dad60023df37e
Author: Damian Stewart <d@damianstewart.com>
Date: Fri Dec 16 02:37:31 2022 +0100
Merge branch 'feature_textual_inversion_mgr' into dev/diffusers
commit 023df37eff
Author: Damian Stewart <d@damianstewart.com>
Date: Fri Dec 16 02:36:54 2022 +0100
cleanup
commit 05fac594ea
Author: Damian Stewart <d@damianstewart.com>
Date: Fri Dec 16 02:07:49 2022 +0100
tweak error checking
commit 009f32ed39
Author: damian <null@damianstewart.com>
Date: Thu Dec 15 21:29:47 2022 +0100
unit tests passing for embeddings with vector length >1
commit beb1b08d9a
Author: Damian Stewart <d@damianstewart.com>
Date: Thu Dec 15 13:39:09 2022 +0100
more explicit equality tests when overwriting
commit 44d8a5a7c8
Author: Damian Stewart <d@damianstewart.com>
Date: Thu Dec 15 13:30:13 2022 +0100
wip textual inversion manager (unit tests passing for 1v embedding overwriting)
commit 417c2b57d9
Author: Damian Stewart <d@damianstewart.com>
Date: Thu Dec 15 12:30:55 2022 +0100
wip textual inversion manager (unit tests passing for base stuff + padding)
commit 2e80872e3b
Author: Damian Stewart <d@damianstewart.com>
Date: Thu Dec 15 10:57:57 2022 +0100
wip new TextualInversionManager
* stop using WeightedFrozenCLIPEmbedder
* store diffusion models locally
- configure_invokeai.py reconfigured to store diffusion models rather than
CompVis models
- hugging face caching model is used, but cache is set to ~/invokeai/models/repo_id
- models.yaml does **NOT** use path, just repo_id
- "repo_name" changed to "repo_id" to following hugging face conventions
- Models are loaded with full precision pending further work.
* allow non-local files during development
* path takes priority over repo_id
* MVP for model_cache and configure_invokeai
- Feature complete (almost)
- configure_invokeai.py downloads both .ckpt and diffuser models,
along with their VAEs. Both types of download are controlled by
a unified INITIAL_MODELS.yaml file.
- model_cache can load both type of model and switches back and forth
in CPU. No memory leaks detected
TO DO:
1. I have not yet turned on the LocalOnly flag for diffuser models, so
the code will check the Hugging Face repo for updates before using the
locally cached models. This will break firewalled systems. I am thinking
of putting in a global check for internet connectivity at startup time
and setting the LocalOnly flag based on this. It would be good to check
updates if there is connectivity.
2. I have not gone completely through INITIAL_MODELS.yaml to check which
models are available as diffusers and which are not. So models like
PaperCut and VoxelArt may not load properly. The runway and stability
models are checked, as well as the Trinart models.
3. Add stanzas for SD 2.0 and 2.1 in INITIAL_MODELS.yaml
REMAINING PROBLEMS NOT DIRECTLY RELATED TO MODEL_CACHE:
1. When loading a .ckpt file there are lots of messages like this:
Warning! ldm.modules.attention.CrossAttention is no longer being
maintained. Please use InvokeAICrossAttention instead.
I'm not sure how to address this.
2. The ckpt models ***don't actually run*** due to the lack of special-case
support for them in the generator objects. For example, here's the hard
crash you get when you run txt2img against the legacy waifu-diffusion-1.3
model:
```
>> An error occurred:
Traceback (most recent call last):
File "/data/lstein/InvokeAI/ldm/invoke/CLI.py", line 140, in main
main_loop(gen, opt)
File "/data/lstein/InvokeAI/ldm/invoke/CLI.py", line 371, in main_loop
gen.prompt2image(
File "/data/lstein/InvokeAI/ldm/generate.py", line 496, in prompt2image
results = generator.generate(
File "/data/lstein/InvokeAI/ldm/invoke/generator/base.py", line 108, in generate
image = make_image(x_T)
File "/data/lstein/InvokeAI/ldm/invoke/generator/txt2img.py", line 33, in make_image
pipeline_output = pipeline.image_from_embeddings(
File "/home/lstein/invokeai/.venv/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1265, in __getattr__
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'LatentDiffusion' object has no attribute 'image_from_embeddings'
```
3. The inpainting diffusion model isn't working. Here's the output of "banana
sushi" when inpainting-1.5 is loaded:
```
Traceback (most recent call last):
File "/data/lstein/InvokeAI/ldm/generate.py", line 496, in prompt2image
results = generator.generate(
File "/data/lstein/InvokeAI/ldm/invoke/generator/base.py", line 108, in generate
image = make_image(x_T)
File "/data/lstein/InvokeAI/ldm/invoke/generator/txt2img.py", line 33, in make_image
pipeline_output = pipeline.image_from_embeddings(
File "/data/lstein/InvokeAI/ldm/invoke/generator/diffusers_pipeline.py", line 301, in image_from_embeddings
result_latents, result_attention_map_saver = self.latents_from_embeddings(
File "/data/lstein/InvokeAI/ldm/invoke/generator/diffusers_pipeline.py", line 330, in latents_from_embeddings
result: PipelineIntermediateState = infer_latents_from_embeddings(
File "/data/lstein/InvokeAI/ldm/invoke/generator/diffusers_pipeline.py", line 185, in __call__
for result in self.generator_method(*args, **kwargs):
File "/data/lstein/InvokeAI/ldm/invoke/generator/diffusers_pipeline.py", line 367, in generate_latents_from_embeddings
step_output = self.step(batched_t, latents, guidance_scale,
File "/home/lstein/invokeai/.venv/lib/python3.9/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/data/lstein/InvokeAI/ldm/invoke/generator/diffusers_pipeline.py", line 409, in step
step_output = self.scheduler.step(noise_pred, timestep, latents, **extra_step_kwargs)
File "/home/lstein/invokeai/.venv/lib/python3.9/site-packages/diffusers/schedulers/scheduling_lms_discrete.py", line 223, in step
pred_original_sample = sample - sigma * model_output
RuntimeError: The size of tensor a (9) must match the size of tensor b (4) at non-singleton dimension 1
```
* proper support for float32/float16
- configure script now correctly detects user's preference for
fp16/32 and downloads the correct diffuser version. If fp16
version not available, falls back to fp32 version.
- misc code cleanup and simplification in model_cache
* add on-the-fly conversion of .ckpt to diffusers models
1. On-the-fly conversion code can be found in the file ldm/invoke/ckpt_to_diffusers.py.
2. A new !optimize command has been added to the CLI. Should be ported to Web GUI.
User experience on the CLI is this:
```
invoke> !optimize /home/lstein/invokeai/models/ldm/stable-diffusion-v1/sd-v1-4.ckpt
INFO: Converting legacy weights file /home/lstein/invokeai/models/ldm/stable-diffusion-v1/sd-v1-4.ckpt to optimized diffuser model.
This operation will take 30-60s to complete.
Success. Optimized model is now located at /home/lstein/tmp/invokeai/models/optimized-ckpts/sd-v1-4
Writing new config file entry for sd-v1-4...
>> New configuration:
sd-v1-4:
description: Optimized version of sd-v1-4
format: diffusers
path: /home/lstein/tmp/invokeai/models/optimized-ckpts/sd-v1-4
OK to import [n]? y
>> Verifying that new model loads...
>> Current VRAM usage: 2.60G
>> Offloading stable-diffusion-2.1 to CPU
>> Loading diffusers model from /home/lstein/tmp/invokeai/models/optimized-ckpts/sd-v1-4
| Using faster float16 precision
You have disabled the safety checker for <class 'ldm.invoke.generator.diffusers_pipeline.StableDiffusionGeneratorPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion \
license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances,\
disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .
| training width x height = (512 x 512)
>> Model loaded in 3.48s
>> Max VRAM used to load the model: 2.17G
>> Current VRAM usage:2.17G
>> Textual inversions available:
>> Setting Sampler to k_lms (LMSDiscreteScheduler)
Keep model loaded? [y]
```
* add parallel set of generator files for ckpt legacy generation
* generation using legacy ckpt models now working
* diffusers: fix missing attention_maps_callback
fix for 23eb80b404
* associate legacy CrossAttention with .ckpt models
* enable autoconvert
New --autoconvert CLI option will scan a designated directory for
new .ckpt files, convert them into diffuser models, and import
them into models.yaml.
Works like this:
invoke.py --autoconvert /path/to/weights/directory
In ModelCache added two new methods:
autoconvert_weights(config_path, weights_directory_path, models_directory_path)
convert_and_import(ckpt_path, diffuser_path)
* diffusers: update to diffusers 0.11 (from 0.10.2)
* fix vae loading & width/height calculation
* refactor: encapsulate these conditioning data into one container
* diffusers: fix some noise-scaling issues by pushing the noise-mixing down to the common function
* add support for safetensors and accelerate
* set local_files_only when internet unreachable
* diffusers: fix error-handling path when model repo has no fp16 branch
* fix generatorinpaint error
Fixes :
"ModuleNotFoundError: No module named 'ldm.invoke.generatorinpaint'
https://github.com/invoke-ai/InvokeAI/pull/1583#issuecomment-1363634318
* quench diffuser safety-checker warning
* diffusers: support stochastic DDIM eta parameter
* fix conda env creation on macos
* fix cross-attention with diffusers 0.11
* diffusers: the VAE needs to be tiling as well as the U-Net
* diffusers: comment on subfolders
* diffusers: embiggen!
* diffusers: make model_cache.list_models serializable
* diffusers(inpaint): restore scaling functionality
* fix requirements clash between numba and numpy 1.24
* diffusers: allow inpainting model to do non-inpainting tasks
* start expanding model_cache functionality
* add import_ckpt_model() and import_diffuser_model() methods to model_manager
- in addition, model_cache.py is now renamed to model_manager.py
* allow "recommended" flag to be optional in INITIAL_MODELS.yaml
* configure_invokeai now downloads VAE diffusers in advance
* rename ModelCache to ModelManager
* remove support for `repo_name` in models.yaml
* check for and refuse to load embeddings trained on incompatible models
* models.yaml.example: s/repo_name/repo_id
and remove extra INITIAL_MODELS now that the main one has diffusers models in it.
* add MVP textual inversion script
* refactor(InvokeAIDiffuserComponent): factor out _combine()
* InvokeAIDiffuserComponent: implement threshold
* InvokeAIDiffuserComponent: diagnostic logs for threshold
...this does not look right
* add a curses-based frontend to textual inversion
- not quite working yet
- requires npyscreen installed
- on windows will also have the windows-curses requirement, but not added
to requirements yet
* add curses-based interface for textual inversion
* fix crash in convert_and_import()
- This corrects a "local variable referenced before assignment" error
in model_manager.convert_and_import()
* potential workaround for no 'state_dict' key error
- As reported in https://github.com/huggingface/diffusers/issues/1876
* create TI output dir if needed
* Update environment-lin-cuda.yml (#2159)
Fixing line 42 to be the proper order to define the transformers requirement: ~= instead of =~
* diffusers: update sampler-to-scheduler mapping
based on https://github.com/huggingface/diffusers/issues/277#issuecomment-1371428672
* improve user exp for ckt to diffusers conversion
- !optimize_models command now operates on an existing ckpt file entry in models.yaml
- replaces existing entry, rather than adding a new one
- offers to delete the ckpt file after conversion
* web: adapt progress callback to deal with old generator or new diffusers pipeline
* clean-up model_manager code
- add_model() verified to work for .ckpt local paths,
.ckpt remote URLs, diffusers local paths, and
diffusers repo_ids
- convert_and_import() verified to work for local and
remove .ckpt files
* handle edge cases for import_model() and convert_model()
* add support for safetensor .ckpt files
* fix name error
* code cleanup with pyflake
* improve model setting behavior
- If the user enters an invalid model name at startup time, will not
try to load it, warn, and use default model
- CLI UI enhancement: include currently active model in the command
line prompt.
* update test-invoke-pip.yml
- fix model cache path to point to runwayml/stable-diffusion-v1-5
- remove `skip-sd-weights` from configure_invokeai.py args
* exclude dev/diffusers from "fail for draft PRs"
* disable "fail on PR jobs"
* re-add `--skip-sd-weights` since no space
* update workflow environments
- include `INVOKE_MODEL_RECONFIGURE: '--yes'`
* clean up model load failure handling
- Allow CLI to run even when no model is defined or loadable.
- Inhibit stack trace when model load fails - only show last error
- Give user *option* to run configure_invokeai.py when no models
successfully load.
- Restart invokeai after reconfiguration.
* further edge-case handling
1) only one model in models.yaml file, and that model is broken
2) no models in models.yaml
3) models.yaml doesn't exist at all
* fix incorrect model status listing
- "cached" was not being returned from list_models()
- normalize handling of exceptions during model loading:
- Passing an invalid model name to generate.set_model() will return
a KeyError
- All other exceptions are returned as the appropriate Exception
* CI: do download weights (if not already cached)
* diffusers: fix scheduler loading in offline mode
* CI: fix model name (no longer has `diffusers-` prefix)
* Update txt2img2img.py (#2256)
* fixes to share models with HuggingFace cache system
- If HF_HOME environment variable is defined, then all huggingface models
are stored in that directory following the standard conventions.
- For seamless interoperability, set HF_HOME to ~/.cache/huggingface
- If HF_HOME not defined, then models are stored in ~/invokeai/models.
This is equivalent to setting HF_HOME to ~/invokeai/models
A future commit will add a migration mechanism so that this change doesn't
break previous installs.
* feat - make model storage compatible with hugging face caching system
This commit alters the InvokeAI model directory to be compatible with
hugging face, making it easier to share diffusers (and other models)
across different programs.
- If the HF_HOME environment variable is not set, then models are
cached in ~/invokeai/models in a format that is identical to the
HuggingFace cache.
- If HF_HOME is set, then models are cached wherever HF_HOME points.
- To enable sharing with other HuggingFace library clients, set
HF_HOME to ~/.cache/huggingface to set the default cache location
or to ~/invokeai/models to have huggingface cache inside InvokeAI.
* fixes to share models with HuggingFace cache system
- If HF_HOME environment variable is defined, then all huggingface models
are stored in that directory following the standard conventions.
- For seamless interoperability, set HF_HOME to ~/.cache/huggingface
- If HF_HOME not defined, then models are stored in ~/invokeai/models.
This is equivalent to setting HF_HOME to ~/invokeai/models
A future commit will add a migration mechanism so that this change doesn't
break previous installs.
* fix error "no attribute CkptInpaint"
* model_manager.list_models() returns entire model config stanza+status
* Initial Draft - Model Manager Diffusers
* added hash function to diffusers
* implement sha256 hashes on diffusers models
* Add Model Manager Support for Diffusers
* fix various problems with model manager
- in cli import functions, fix not enough values to unpack from
_get_name_and_desc()
- fix crash when using old-style vae: value with new-style diffuser
* rebuild frontend
* fix dictconfig-not-serializable issue
* fix NoneType' object is not subscriptable crash in model_manager
* fix "str has no attribute get" error in model_manager list_models()
* Add path and repo_id support for Diffusers Model Manager
Also fixes bugs
* Fix tooltip IT localization not working
* Add Version Number To WebUI
* Optimize Model Search
* Fix incorrect font on the Model Manager UI
* Fix image degradation on merge fixes - [Experimental]
This change should effectively fix a couple of things.
- Fix image degradation on subsequent merges of the canvas layers.
- Fix the slight transparent border that is left behind when filling the bounding box with a color.
- Fix the left over line of color when filling a bounding box with color.
So far there are no side effects for this. If any, please report.
* Add local model filtering for Diffusers / Checkpoints
* Go to home on modal close for the Add Modal UI
* Styling Fixes
* Model Manager Diffusers Localization Update
* Add Safe Tensor scanning to Model Manager
* Fix model edit form dispatching string values instead of numbers.
* Resolve VAE handling / edge cases for supplied repos
* defer injecting tokens for textual inversions until they're used for the first time
* squash a console warning
* implement model migration check
* add_model() overwrites previous config rather than merges
* fix model config file attribute merging
* fix precision handling in textual inversion script
* allow ckpt conversion script to work with safetensors .ckpts
Applied patch here:
beb932c5d1
* fix name "args" is not defined crash in textual_inversion_training
* fix a second NameError: name 'args' is not defined crash
* fix loading of the safety checker from the global cache dir
* add installation step to textual inversion frontend
- After a successful training run, the script will copy learned_embeds.bin
to a subfolder of the embeddings directory.
- User given the option to delete the logs and intermediate checkpoints
(which together use 7-8G of space)
- If textual inversion training fails, reports the error gracefully.
* don't crash out on incompatible embeddings
- put try: blocks around places where the system tries to load an embedding
which is incompatible with the currently loaded model
* add support for checkpoint resuming
* textual inversion preferences are saved and restored between sessions
- Preferences are stored in a file named text-inversion-training/preferences.conf
- Currently the resume-from-checkpoint option is not working correctly. Possible
bug in textual_inversion_training.py?
* copy learned_embeddings.bin into right location
* add front end for diffusers model merging
- Front end doesn't do anything yet!!!!
- Made change to model name parsing in CLI to support ability to have merged models
with the "+" character in their names.
* improve inpainting experience
- recommend ckpt version of inpainting-1.5 to user
- fix get_noise() bug in ckpt version of omnibus.py
* update environment*yml
* tweak instructions to install HuggingFace token
* bump version number
* enhance update scripts
- update scripts will now fetch new INITIAL_MODELS.yaml so that
configure_invokeai.py will know about the diffusers versions.
* enhance invoke.sh/invoke.bat launchers
- added configure_invokeai.py to menu
- menu defaults to browser-based invoke
* remove conda workflow (#2321)
* fix `token_ids has shape torch.Size([79]) - expected [77]`
* update CHANGELOG.md with 2.3.* info
- Add information on how formats have changed and the upgrade process.
- Add short bug list.
Co-authored-by: Damian Stewart <d@damianstewart.com>
Co-authored-by: Damian Stewart <null@damianstewart.com>
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
Co-authored-by: Wybartel-luxmc <37852506+Wybartel-luxmc@users.noreply.github.com>
Co-authored-by: mauwii <Mauwii@outlook.de>
Co-authored-by: mickr777 <115216705+mickr777@users.noreply.github.com>
Co-authored-by: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Co-authored-by: Eugene Brodsky <ebr@users.noreply.github.com>
Co-authored-by: Matthias Wild <40327258+mauwii@users.noreply.github.com>
* update version number
* print version number at startup
* move version number into ldm/invoke/_version.py
* bump version to 2.2.6+a0
* handle whitespace better
* resolve issues raised by mauwii during PR review
1. create_installers.sh now asks before tagging and committing the
current repo
2. trailing whitespace removed from user-provided location of invokeai
directory in install.bat
* 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>
* 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.
* remove redundant code line
install.bat was copying the requirements file into the install folder
twice, causing an error message on the second try. This fixes the
issue.
* add further improvements to installer
- Windows version will unzip to have requirements.txt already in
the right location, to prevent problems when users try to run
the .bat script from within a mounted read-only zip file manager.
- Do not assume that "pip" is on the path in either the .bat or shell
versions of the update script.
1. Added a big fat warning to the Windows installer to tell user
to install Visual C++ redistributable.
2. Added a bit fat warning to the automated installer doc to
tell user the same thing.
3. Reordered entries on the table-of-contents sidebar for installation
to prioritize the most important docs.
4. Moved older installation documentation into deprecated folder.
5. Moved developer-specific installation documentation into the
developers folder.
* add logic for finding the root (runtime) directory
This commit fixes the root search logic to be as follows:
1) The `--root_dir` command line argument
2) The contents of environment variable INVOKEAI_ROOT
3) The VIRTUAL_ENV environment variable, plus '..'
4) $HOME/invokeai
(3) is the new feature. Since we are now recommending to install
InvokeAI and its dependencies into the .venv in the root directory,
this should be a reliable choice.
* make installer scripts more robust
This commits improves the installer .sh and .bat scripts in the following
ways:
1. They now handle folder/directory names containing spaces.
2. Pip will be installed into the .venv using the `ensurepip`
module.
This addresses issues identified by @vargol in Issue #1941
* add --prefer-binary option to pip install
* fix unset variable crash
* add patch level to zip file name
* Fix crash introduced in #1948
* 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>
- Source installer provides more context for what it is doing, and
sends user to help/troubleshooting pages when something goes wrong.
- install.sh and install.bat are renamed to install.sh.in and install.bat.in
to discourage users from running them from within the
- Documentation updated
* 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 248068fe5d.
* fix model cache path
* also set fail-fast to it's default (true)
in this way the whole action fails if one job fails
this should unblock the runners!!!
* fix output path for Archive results
* disable checks for python 3.9
* Update-requirements and test-invoke-pip workflow (#1574)
* update requirements files
* update test-invoke-pip workflow
* move requirements-mkdocs.txt to docs folder (#1575)
* move requirements-mkdocs.txt to docs folder
* update copyright
* Fixes outpainting with resized inpaint size
* Interactive configuration (#1517)
* Update scripts/configure_invokeai.py
prevent crash if output exists
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* implement changes requested by reviews
* default to correct root and output directory on Windows systems
- Previously the script was relying on the readline buffer editing
feature to set up the correct default. But this feature doesn't
exist on windows.
- This commit detects when user typed return with an empty directory
value and replaces with the default directory.
* improved readability of directory choices
* Update scripts/configure_invokeai.py
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* better error reporting at startup
- If user tries to run the script outside of the repo or runtime directory,
a more informative message will appear explaining the problem.
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
* Embedding merging (#1526)
* add whole <style token> to vocab for concept library embeddings
* add ability to load multiple concept .bin files
* make --log_tokenization respect custom tokens
* start working on concept downloading system
* preliminary support for dynamic loading and merging of multiple embedded models
- The embedding_manager is now enhanced with ldm.invoke.concepts_lib,
which handles dynamic downloading and caching of embedded models from
the Hugging Face concepts library (https://huggingface.co/sd-concepts-library)
- Downloading of a embedded model is triggered by the presence of one or more
<concept> tags in the prompt.
- Once the embedded model is downloaded, its trigger phrase will be loaded
into the embedding manager and the prompt's <concept> tag will be replaced
with the <trigger_phrase>
- The downloaded model stays on disk for fast loading later.
- The CLI autocomplete will complete partial <concept> tags for you. Type a
'<' and hit tab to get all ~700 concepts.
BUGS AND LIMITATIONS:
- MODEL NAME VS TRIGGER PHRASE
You must use the name of the concept embed model from the SD
library, and not the trigger phrase itself. Usually these are the
same, but not always. For example, the model named "hoi4-leaders"
corresponds to the trigger "<HOI4-Leader>"
One reason for this design choice is that there is no apparent
constraint on the uniqueness of the trigger phrases and one trigger
phrase may map onto multiple models. So we use the model name
instead.
The second reason is that there is no way I know of to search
Hugging Face for models with certain trigger phrases. So we'd have
to download all 700 models to index the phrases.
The problem this presents is that this may confuse users, who will
want to reuse prompts from distributions that use the trigger phrase
directly. Usually this will work, but not always.
- WON'T WORK ON A FIREWALLED SYSTEM
If the host running IAI has no internet connection, it can't
download the concept libraries. I will add a script that allows
users to preload a list of concept models.
- BUG IN PROMPT REPLACEMENT WHEN MODEL NOT FOUND
There's a small bug that occurs when the user provides an invalid
model name. The <concept> gets replaced with <None> in the prompt.
* fix loading .pt embeddings; allow multi-vector embeddings; warn on dupes
* simplify replacement logic and remove cuda assumption
* download list of concepts from hugging face
* remove misleading customization of '*' placeholder
the existing code as-is did not do anything; unclear what it was supposed to do.
the obvious alternative -- setting using 'placeholder_strings' instead of
'placeholder_tokens' to match model.params.personalization_config.params.placeholder_strings --
caused a crash. i think this is because the passed string also needed to be handed over
on init of the PersonalizedBase as the 'placeholder_token' argument.
this is weird config dict magic and i don't want to touch it. put a
breakpoint in personalzied.py line 116 (top of PersonalizedBase.__init__) if
you want to have a crack at it yourself.
* address all the issues raised by damian0815 in review of PR #1526
* actually resize the token_embeddings
* multiple improvements to the concept loader based on code reviews
1. Activated the --embedding_directory option (alias --embedding_path)
to load a single embedding or an entire directory of embeddings at
startup time.
2. Can turn off automatic loading of embeddings using --no-embeddings.
3. Embedding checkpoints are scanned with the pickle scanner.
4. More informative error messages when a concept can't be loaded due
either to a 404 not found error or a network error.
* autocomplete terms end with ">" now
* fix startup error and network unreachable
1. If the .invokeai file does not contain the --root and --outdir options,
invoke.py will now fix it.
2. Catch and handle network problems when downloading hugging face textual
inversion concepts.
* fix misformatted error string
Co-authored-by: Damian Stewart <d@damianstewart.com>
* model_cache.py: fix list_models
Signed-off-by: devops117 <55235206+devops117@users.noreply.github.com>
* add statement of values (#1584)
* this adds the Statement of Values
Google doc source = https://docs.google.com/document/d/1-PrUKDJcxy8OyNGc8CyiHhv2VgLvjt7LRGlEpbg1nmQ/edit?usp=sharing
* Fix heading
* Update InvokeAI_Statement_of_Values.md
* Update InvokeAI_Statement_of_Values.md
* Update InvokeAI_Statement_of_Values.md
* Update InvokeAI_Statement_of_Values.md
* Update InvokeAI_Statement_of_Values.md
* add keturn and mauwii to the team member list
* Fix punctuation
* this adds the Statement of Values
Google doc source = https://docs.google.com/document/d/1-PrUKDJcxy8OyNGc8CyiHhv2VgLvjt7LRGlEpbg1nmQ/edit?usp=sharing
* add keturn and mauwii to the team member list
* fix formating
- make sub bullets use * (decide to all use - or *)
- indent sub bullets
Sorry, first only looked at the code version and found this only after
looking at the markdown rendered version
* use multiparagraph numbered sections
* Break up Statement Of Values as per comments on #1584
* remove duplicated word, reduce vagueness
it's important not to overstate how many artists we are consulting.
* fix typo (sorry blessedcoolant)
Co-authored-by: mauwii <Mauwii@outlook.de>
Co-authored-by: damian <git@damianstewart.com>
* update dockerfile (#1551)
* update dockerfile
* remove not existing file from .dockerignore
* remove bloat and unecesary step
also use --no-cache-dir for pip install
image is now close to 2GB
* make Dockerfile a variable
* set base image to `ubuntu:22.10`
* add build-essential
* link outputs folder for persistence
* update tag variable
* update docs
* fix not customizeable build args, add reqs output
* !model_import autocompletes in ROOTDIR
* Adds psychedelicious to statement of values signature (#1602)
* add a --no-patchmatch option to disable patchmatch loading (#1598)
This feature was added to prevent the CI Macintosh tests from erroring
out when patchmatch is unable to retrieve its shared library from
github assets.
* Fix#1599 by relaxing the `match_trigger` regex (#1601)
* Fix#1599 by relaxing the `match_trigger` regex
Also simplify logic and reduce duplication.
* restrict trigger regex again (but not so far)
* make concepts library work with Web UI
This PR makes it possible to include a Hugging Face concepts library
<style-or-subject-trigger> in the WebUI prompt. The metadata seems
to be correctly handled.
* documentation enhancements (#1603)
- Add documentation for the Hugging Face concepts library and TI embedding.
- Fixup index.md to point to each of the feature documentation files,
including ones that are pending.
* tweak setup and environment files for linux & pypatchmatch (#1580)
* tweak setup and environment files for linux & pypatchmatch
- Downgrade python requirements to 3.9 because 3.10 is not supported
on Ubuntu 20.04 LTS (widely-used distro)
- Use our github pypatchmatch 0.1.3 in order to install Makefile
where it needs to be.
- Restored "-e ." as the last install step on pip installs. Hopefully
this will not trigger the high-CPU hang we've previously experienced.
* keep windows on basicsr 1.4.1
* keep windows on basicsr 1.4.1
* bump pypatchmatch requirement to 0.1.4
- This brings in a version of pypatchmatch that will gracefully
handle internet connection not available at startup time.
- Also refactors and simplifies the handling of gfpgan's basicsr requirement
across various platforms.
* revert to older version of list_models() (#1611)
This restores the correct behavior of list_models() and quenches
the bug of list_models() returning a single model entry named "name".
I have not investigated what was wrong with the new version, but I
think it may have to do with changes to the behavior in dict.update()
* Fixes for #1604 (#1605)
* Converts ESRGAN image input to RGB
- Also adds typing for image input.
- Partially resolves#1604
* ensure there are unmasked pixels before color matching
Co-authored-by: Kyle Schouviller <kyle0654@hotmail.com>
* update index.md (#1609)
- comment out non existing link
- fix indention
- add seperator between feature categories
* Debloat-docker (#1612)
* debloat Dockerfile
- less options more but more userfriendly
- better Entrypoint to simulate CLI usage
- without command the container still starts the web-host
* debloat build.sh
* better syntax in run.sh
* update Docker docs
- fix description of VOLUMENAME
- update run script example to reflect new entrypoint
* Test installer (#1618)
* test linux install
* try removing http from parsed requirements
* pip install confirmed working on linux
* ready for linux testing
- rebuilt py3.10-linux-x86_64-cuda-reqs.txt to include pypatchmatch
dependency.
- point install.sh and install.bat to test-installer branch.
* Updates MPS reqs
* detect broken readline history files
* fix download.pytorch.org URL
* Test installer (Win 11) (#1620)
Co-authored-by: Cyrus Chan <cyruswkc@hku.hk>
* Test installer (MacOS 13.0.1 w/ torch==1.12.0) (#1621)
* Test installer (Win 11)
* Test installer (MacOS 13.0.1 w/ torch==1.12.0)
Co-authored-by: Cyrus Chan <cyruswkc@hku.hk>
* change sourceball to development for testing
* Test installer (MacOS 13.0.1 w/ torch==1.12.1 & torchvision==1.13.1) (#1622)
* Test installer (Win 11)
* Test installer (MacOS 13.0.1 w/ torch==1.12.0)
* Test installer (MacOS 13.0.1 w/ torch==1.12.1 & torchvision==1.13.1)
Co-authored-by: Cyrus Chan <cyruswkc@hku.hk>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Co-authored-by: Cyrus Chan <82143712+cyruschan360@users.noreply.github.com>
Co-authored-by: Cyrus Chan <cyruswkc@hku.hk>
* 2.2 Doc Updates (#1589)
* Unified Canvas Docs & Assets
Unified Canvas draft
Advanced Tools Updates
Doc Updates (lstein feedback)
* copy edits to Unified Canvas docs
- consistent capitalisation and feature naming
- more intimate address (replace "the user" with "you") for improved User
Engagement(tm)
- grammatical massaging and *poesie*
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
Co-authored-by: damian <git@damianstewart.com>
* include a step after config to `cat ~/.invokeai` (#1629)
* disable patchmatch in CI actions (#1626)
* disable patchmatch in CI actions
* fix indention
* replace tab with spaces
Co-authored-by: Matthias Wild <40327258+mauwii@users.noreply.github.com>
Co-authored-by: mauwii <Mauwii@outlook.de>
* Fix installer script for macOS. (#1630)
* refer to the platform as 'osx' instead of 'mac', otherwise the
composed URL to micromamba is wrong.
* move the `-O` option to `tar` to be grouped with the other tar flags
to avoid the `-O` being interpreted as something to unarchive.
* Removes symlinked environment.yaml (#1631)
Was unintentionally added in #1621
* Fix inpainting with iterations (#1635)
* fix error when inpainting using runwayml inpainting model (#1634)
- error was "Omnibus object has no attribute pil_image"
- closes#1596
* add k_dpmpp_2_a and k_dpmpp_2 solvers options (#1389)
* add k_dpmpp_2_a and k_dpmpp_2 solvers options
* update frontend
Co-authored-by: Victor <victorca25@users.noreply.github.com>
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
* add .editorconfig (#1636)
* Web UI 2.2 bugfixes (#1572)
* Fixes bug preventing multiple images from being generated
* Fixes valid seam strength value range
* Update Delete Alert Text
Indicates to the user that images are not permanently deleted.
* Fixes left/right arrows not working on gallery
* Fixes initial image on load erroneously set to a user uploaded image
Should be a result gallery image.
* Lightbox Fixes
- Lightbox is now a button in the current image buttons
- Lightbox is also now available in the gallery context menu
- Lightbox zoom issues fixed
- Lightbox has a fade in animation.
* Fix image display wrapper in current preview not overflow bounds
* Revert "Fix image display wrapper in current preview not overflow bounds"
This reverts commit 5511c82714dbf1d1999d64e8bc357bafa34ddf37.
* Change Staging Area discard icon from Bin to X
* Expose Snap Threshold and Move Snap Settings to BBox Panel
* Changes img2img strength default to 0.75
* Fixes drawing triggering when mouse enters canvas w/ button down
When we only supported inpainting and no zoom, this was useful. It allowed the cursor to leave the canvas (which was easy to do given the limited canvas dimensions) and without losing the "I am drawing" state.
With a zoomable canvas this is no longer as useful.
Additionally, we have more popovers and tools (like the color pickers) which result in unexpected brush strokes. This fixes that issue.
* Revert "Expose Snap Threshold and Move Snap Settings to BBox Panel"
We will handle this a bit differently - by allowing the grid origin to be moved. I will dig in at some point.
This reverts commit 33c92ecf4da724c2f17d9d91c7ea31a43a2f6deb.
* Adds Limit Strokes to Box
* Adds fill bounding box button
* Adds erase bounding box button
* Changes Staging area discard icon to match others
* Fixes right click breaking move tool
* Fixes brush preview visibility issue with "darken outside box"
* Fixes history bugs with addFillRect, addEraseRect, and other actions
* Adds missing `key`
* Fixes postprocessing being applied to canvas generations
* Fixes bbox not getting scaled in various situations
* Fixes staging area show image toggle not resetting on accept/discard
* Locks down canvas while generating/staging
* Fixes move tool breaking when canvas loses focus during move/transform
* Hides cursor when restrict strokes is on and mouse outside bbox
* Lints
* Builds fresh bundle
* Fix overlapping hotkey for Fill Bounding Box
* Build Fresh Bundle
* Fixes bug with mask and bbox overlay
* Builds fresh bundle
Co-authored-by: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
* disable NSFW checker loading during the CI tests (#1641)
* disable NSFW checker loading during the CI tests
The NSFW filter apparently causes invoke.py to crash during CI testing,
possibly due to out of memory errors. This workaround disables NSFW
model loading.
* doc change
* fix formatting errors in yml files
* Configure the NSFW checker at install time with default on (#1624)
* configure the NSFW checker at install time with default on
1. Changes the --safety_checker argument to --nsfw_checker and
--no-nsfw_checker. The original argument is recognized for backward
compatibility.
2. The configure script asks users whether to enable the checker
(default yes). Also offers users ability to select default sampler and
number of generation steps.
3.Enables the pasting of the caution icon on blurred images when
InvokeAI is installed into the package directory.
4. Adds documentation for the NSFW checker, including caveats about
accuracy, memory requirements, and intermediate image dispaly.
* use better fitting icon
* NSFW defaults false for testing
* set default back to nsfw active
Co-authored-by: Matthias Wild <40327258+mauwii@users.noreply.github.com>
Co-authored-by: mauwii <Mauwii@outlook.de>
Signed-off-by: devops117 <55235206+devops117@users.noreply.github.com>
Co-authored-by: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Co-authored-by: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Co-authored-by: Kyle Schouviller <kyle0654@hotmail.com>
Co-authored-by: javl <mail@jaspervanloenen.com>
Co-authored-by: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Co-authored-by: mauwii <Mauwii@outlook.de>
Co-authored-by: Matthias Wild <40327258+mauwii@users.noreply.github.com>
Co-authored-by: Damian Stewart <d@damianstewart.com>
Co-authored-by: DevOps117 <55235206+devops117@users.noreply.github.com>
Co-authored-by: damian <git@damianstewart.com>
Co-authored-by: Damian Stewart <null@damianstewart.com>
Co-authored-by: Cyrus Chan <82143712+cyruschan360@users.noreply.github.com>
Co-authored-by: Cyrus Chan <cyruswkc@hku.hk>
Co-authored-by: Andre LaBranche <dre@mac.com>
Co-authored-by: victorca25 <41912303+victorca25@users.noreply.github.com>
Co-authored-by: Victor <victorca25@users.noreply.github.com>
