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Merged
merged 17 commits into from
Nov 28, 2022
Merged

update dockerfile #1551

merged 17 commits into from
Nov 28, 2022

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mauwii
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@mauwii mauwii commented Nov 25, 2022

  • Using the new scripts/configure_invokeai.py to create the necesarry files on the volume (models, configs, ...).
  • Works on x86, aarch64 and arm64
  • uses pip instead of conda
  • sized down to 3GB (but will try to use alpine instead of ubuntu to get another 90% less size)

@mauwii mauwii added CI-CD Continuous integration / Continuous delivery docker labels Nov 25, 2022
@mauwii mauwii requested a review from damian0815 November 25, 2022 04:15
@mauwii mauwii self-assigned this Nov 25, 2022
@mauwii mauwii marked this pull request as ready for review November 25, 2022 05:48
@mauwii
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mauwii commented Nov 25, 2022

need to dig a bit deeper with alpine, still think it's possible but after almost 2h playing around with it I think it's fine to just merge the ubuntu container for now 🙈

@ebr
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ebr commented Nov 25, 2022

@mauwii I don't think Alpine will work due to musl/libc incompatibilities. Ubuntu is more common/compatible anyway.

Also, I realize there may have been some inspiration by the work I've done on the Docker setup that we've discussed over the past week: #1473, #1544, but perhaps we could join forces on improving this Dockerfile together? I specifically didn't want to modify your Dockerfile so that you could review my PRs first. My version has some significant optimizations and results in a smaller image that's only 4 layers, and I think it would be beneficial to the project.

@mauwii
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mauwii commented Nov 25, 2022

I think it still will make sence to have a cloud optimized Dockerfile (like yours), and one that will also work on ARM64/aarch64, so that those people who have reasons for this usecase don't get locked out, and vice versa people who want to run it on cloud hardware don't have to suffer from unoptimized images ;)

And no, I started this already before your PR came in, so no inspiration from there at all 🙈 It started here

@damian0815
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damian0815 commented Nov 26, 2022

what's the relationship between this and the one by @ebr ? seems odd to have two of them.. and how would you like me to review it? should i try and put it on runpod, or just look at the code and thumbs up if it appears ok, or something else..?

@mauwii
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mauwii commented Nov 26, 2022

what's the relationship between this and the one by @ebr ? seems odd to have two of them..

ebr`s Dockerfile is cloud optimized while this one is not, but therefore is able to run on developer machines unecesarry of the arch/os neither requires nvidia gpu.

and how would you like me to review it? should i try and put it on runpod, or just look at the code and thumbs up if it appears ok?

imho the best way would be to verify that build.sh / run.sh is working locally.

@lstein
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lstein commented Nov 27, 2022

I'll try to build the docker locally later today.

@mauwii
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mauwii commented Nov 27, 2022

I would suggest we enable PR Validation for build-container.yml now as well, since this should be faster than the other workflows and it would prevent that development branch fails because of it (like it does atm).

@damian0815
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i'm trying this out now

@damian0815
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first comment,

damian@Damians-mac-mini docker-build % cd docker-build/
damian@Damians-mac-mini docker-build % ./build.sh
./build.sh: line 7: ./docker-build/env.sh: No such file or directory

i won't fail the review for this but it would be nice if the script used dirname $0 to avoid this problem

@damian0815
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damian0815 commented Nov 27, 2022

@mauwii error'd running ./docker-build/build.sh:

 => ERROR [invokeai  8/10] RUN source "/opt/conda/etc/profile.d/conda.sh"   && conda init bash   && source ~/.  131.2s
------
 > [invokeai  8/10] RUN source "/opt/conda/etc/profile.d/conda.sh"   && conda init bash   && source ~/.bashrc   && conda env create     --name "invokeai"   && rm -Rf ~/.cache   && conda clean -afy   && echo "conda activate invokeai" >> ~/.bashrc:
#14 1.353 no change     /opt/conda/condabin/conda
#14 1.353 no change     /opt/conda/bin/conda
#14 1.353 no change     /opt/conda/bin/conda-env
#14 1.353 no change     /opt/conda/bin/activate
#14 1.353 no change     /opt/conda/bin/deactivate
#14 1.353 no change     /opt/conda/etc/profile.d/conda.sh
#14 1.353 no change     /opt/conda/etc/fish/conf.d/conda.fish
#14 1.353 no change     /opt/conda/shell/condabin/Conda.psm1
#14 1.353 no change     /opt/conda/shell/condabin/conda-hook.ps1
#14 1.353 no change     /opt/conda/lib/python3.9/site-packages/xontrib/conda.xsh
#14 1.353 no change     /opt/conda/etc/profile.d/conda.csh
#14 1.353 modified      /root/.bashrc
#14 1.353
#14 1.353 ==> For changes to take effect, close and re-open your current shell. <==
#14 1.353
#14 5.810 Collecting package metadata (repodata.json): ...working... /root/.bashrc: line 41:    55 Killed                  "$CONDA_EXE" $_CE_M $_CE_CONDA "$@"
------
executor failed running [/bin/bash -c source "${conda_prefix}/etc/profile.d/conda.sh"   && conda init bash   && source ~/.bashrc   && conda env create     --name "${project_name}"   && rm -Rf ~/.cache   && conda clean -afy   && echo "conda activate ${project_name}" >> ~/.bashrc]: exit code: 137

in case it's relevant:

damian@Damians-mac-mini ~ % docker --version
Docker version 20.10.8, build 3967b7d
damian@Damians-mac-mini ~ % uname -a
Darwin Damians-mac-mini.local 22.1.0 Darwin Kernel Version 22.1.0: Sun Oct  9 20:14:30 PDT 2022; root:xnu-8792.41.9~2/RELEASE_ARM64_T8103 arm64

@mauwii
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mauwii commented Nov 27, 2022

@damian0815 you should checkout the PR first, since there is no Conda at all I am sure you tested the development branch :-/

@damian0815
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same again, after about the same time. is it timing out?

@mauwii
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mauwii commented Nov 27, 2022

image

@mauwii
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mauwii commented Nov 27, 2022

image

@mauwii
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mauwii commented Nov 27, 2022

My output of build.sh:

./docker-build/build.sh                         
You are using these values:
Dockerfile:              docker-build/Dockerfile
project_name:            invokeai
volumename:              invokeai_data
arch:                    aarch64
platform:                Linux/aarch64
invokeai_tag:            invokeai:aarch64

Volume already exists
[+] Building 158.1s (11/11) FINISHED                                                                                                                                                
 => [internal] load build definition from Dockerfile                                                                                                                           0.0s
 => => transferring dockerfile: 961B                                                                                                                                           0.0s
 => [internal] load .dockerignore                                                                                                                                              0.0s
 => => transferring context: 34B                                                                                                                                               0.0s
 => [internal] load metadata for docker.io/library/ubuntu:22.10                                                                                                                1.2s
 => [auth] library/ubuntu:pull token for registry-1.docker.io                                                                                                                  0.0s
 => [1/5] FROM docker.io/library/ubuntu:22.10@sha256:edc5125bd9443ab5d5c92096cf0e481f5e8cb12db9f5461ab1ab7a936c7f7d30                                                          0.0s
 => [internal] load build context                                                                                                                                              0.0s
 => => transferring context: 42.95kB                                                                                                                                           0.0s
 => CACHED [2/5] RUN apt-get update   && apt-get install -y     --no-install-recommends     build-essential     gcc     git     libgl1-mesa-glx     libglib2.0-0     pip       0.0s
 => CACHED [3/5] WORKDIR /invokeai                                                                                                                                             0.0s
 => [4/5] COPY . .                                                                                                                                                             0.1s
 => [5/5] RUN cp   ./environments-and-requirements/requirements-lin-cuda.txt   requirements-lin-cuda.txt   && pip install     --no-cache-dir     -r requirements-lin-cuda.t  152.6s
 => exporting to image                                                                                                                                                         4.0s 
 => => exporting layers                                                                                                                                                        4.0s 
 => => writing image sha256:2faa7eb7d493eb722a69d2588d4b82bba6d6acdf33d5292f1553806ab4b8ce00                                                                                   0.0s 
 => => naming to docker.io/library/invokeai:aarch64                                                                                                                            0.0s 
                                                                                                                                                                                    
Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them                                                                                
/usr/local/lib/python3.10/dist-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: 
  warn(f"Failed to load image Python extension: {e}")
/data/models/ldm/stable-diffusion-v1/
/data/models/ldm/stable-diffusion-v1/
/data/models/ldm/stable-diffusion-v1/
Installing bert tokenizer (ignore deprecation errors)...
...success
Installing CLIP model (ignore deprecation errors)...
Tokenizer...
Text model...
...success
Installing models from RealESRGAN...
Installing RealESRGAN model file https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth......exists
Installing GFPGAN models...
Installing GFPGAN weights model file https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth......exists
Installing GFPGAN weights model file https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth......exists
Installing GFPGAN weights model file https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth......exists
Installing CodeFormer model file...
Installing CodeFormer model file https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth......exists
Installing clipseg model for text-based masking......success
Installing safety model for NSFW content detection...
AutoFeatureExtractor...
StableDiffusionSafetyChecker...
...success
Loading Python libraries...

Welcome to InvokeAI. This script will help download the Stable Diffusion weight files
and other large models that are needed for text to image generation. At any point you may interrupt
this program and resume later.

(Initializing with runtime root /data)

** DOWNLOADING DIFFUSION WEIGHTS **
* v1-5-pruned-emaonly.ckpt: complete file found. Skipping.
* sd-v1-5-inpainting.ckpt: complete file found. Skipping.
* vae-ft-mse-840000-ema-pruned.ckpt: complete file found. Skipping.
Successfully installed stable-diffusion-1.5, inpainting-1.5, ft-mse-improved-autoencoder-840000
** /data/configs/models.yaml exists. Renaming to /data/configs/models.yaml.orig
Successfully created new configuration file /data/configs/models.yaml

** DOWNLOADING SUPPORT MODELS **

** Model Installation Successful **
You're all set! You may now launch InvokeAI using one of these two commands:
Web version: 
    python scripts/invoke.py --web  (connect to http://localhost:9090)
Command-line version:
   python scripts/invoke.py

Remember to activate that 'invokeai' environment before running invoke.py.

Or, if you used one of the automated installers, execute "invoke.sh" (Linux/Mac) 
or "invoke.bat" (Windows) to start the script.

Have fun!

@damian0815
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damian0815 commented Nov 27, 2022

here's my output of build.sh:

damian@Damians-mac-mini stable-diffusion % ./docker-build/build.sh
You are using these values:
Dockerfile:		 docker-build/Dockerfile
project_name:		 invokeai
volumename:		 invokeai_data
arch:			 x86_64
platform:		 Linux/x86_64
invokeai_tag:		 invokeai:x86_64

Volume already exists
[+] Building 1014.0s (10/10) FINISHED
 => [internal] load build definition from Dockerfile                                                              0.0s
 => => transferring dockerfile: 961B                                                                              0.0s
 => [internal] load .dockerignore                                                                                 0.0s
 => => transferring context: 161B                                                                                 0.0s
 => [internal] load metadata for docker.io/library/ubuntu:22.10                                                   1.9s
 => [internal] load build context                                                                                 0.6s
 => => transferring context: 13.07MB                                                                              0.6s
 => [1/5] FROM docker.io/library/ubuntu:22.10@sha256:edc5125bd9443ab5d5c92096cf0e481f5e8cb12db9f5461ab1ab7a936c7  2.6s
 => => resolve docker.io/library/ubuntu:22.10@sha256:edc5125bd9443ab5d5c92096cf0e481f5e8cb12db9f5461ab1ab7a936c7  0.0s
 => => sha256:edc5125bd9443ab5d5c92096cf0e481f5e8cb12db9f5461ab1ab7a936c7f7d30 1.42kB / 1.42kB                    0.0s
 => => sha256:f0a63f53b736b9211a5313a7219f6cc012b7cf4194c7ce2248fac8162b56dceb 529B / 529B                        0.0s
 => => sha256:8a7f92156625b8656618357c6ab1e0a641888de25010da43014db17b5eb6e514 1.46kB / 1.46kB                    0.0s
 => => sha256:daae843197f7407fa8b43bb15fdb45858a6ae776e755cd31ba485d5aa0fb4eaa 27.46MB / 27.46MB                  1.6s
 => => extracting sha256:daae843197f7407fa8b43bb15fdb45858a6ae776e755cd31ba485d5aa0fb4eaa                         0.8s
 => [2/5] RUN apt-get update   && apt-get install -y     --no-install-recommends     build-essential     gcc    104.7s
 => [3/5] WORKDIR /invokeai                                                                                       0.0s
 => [4/5] COPY . .                                                                                                0.1s
 => [5/5] RUN cp   ./environments-and-requirements/requirements-lin-cuda.txt   requirements-lin-cuda.txt   &&   885.7s
 => exporting to image                                                                                           19.0s
 => => exporting layers                                                                                          19.0s
 => => writing image sha256:3644cfe22267d11d96bee0c29be4f4781f863c1e64926c15f239419c2fae2474                      0.0s
 => => naming to docker.io/library/invokeai:x86_64                                                                0.0s

Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them
/data/models/ldm/stable-diffusion-v1/
Loading Python libraries...

Welcome to InvokeAI. This script will help download the Stable Diffusion weight files
and other large models that are needed for text to image generation. At any point you may interrupt
this program and resume later.

** INITIALIZING INVOKEAI RUNTIME DIRECTORY **
InvokeAI models and configuration files will be placed into /data and image outputs will be placed into /data/outputs.

You may change these values at any time by editing the --root and --output_dir options in "/root/.invokeai",
You may also change the runtime directory by setting the environment variable INVOKEAI_ROOT.

Creating the initialization file at "/root/.invokeai".

(Initializing with runtime root /data)

** DOWNLOADING DIFFUSION WEIGHTS **
* v1-5-pruned-emaonly.ckpt: Downloading...
v1-5-pruned-emaonly.ckpt: 100%|██████████| 4.27G/4.27G [06:04<00:00, 11.7MiB/s]
/data/models/ldm/stable-diffusion-v1/
* sd-v1-5-inpainting.ckpt: Downloading...
sd-v1-5-inpainting.ckpt: 100%|██████████| 4.27G/4.27G [05:45<00:00, 12.3MiB/s]
/data/models/ldm/stable-diffusion-v1/
* vae-ft-mse-840000-ema-pruned.ckpt: Downloading...
vae-ft-mse-840000-ema-pruned.ckpt: 100%|██████████| 335M/335M [00:24<00:00, 13.5MiB/s]
Installing bert tokenizer (ignore deprecation errors)...
Successfully installed stable-diffusion-1.5, inpainting-1.5, ft-mse-improved-autoencoder-840000
** /data/configs/models.yaml exists. Renaming to /data/configs/models.yaml.orig
Successfully created new configuration file /data/configs/models.yaml

** DOWNLOADING SUPPORT MODELS **
Downloading tokenizer_config.json: 100%|██████████| 28.0/28.0 [00:00<00:00, 1.82kB/s]
Downloading vocab.txt: 100%|██████████| 226k/226k [00:00<00:00, 454kB/s]
Downloading tokenizer.json: 100%|██████████| 455k/455k [00:00<00:00, 744kB/s]
Downloading config.json: 100%|██████████| 570/570 [00:00<00:00, 39.0kB/s]
...success
Installing CLIP model (ignore deprecation errors)...
Tokenizer...
Downloading vocab.json: 100%|██████████| 939k/939k [00:00<00:00, 1.32MB/s]
Downloading merges.txt: 100%|██████████| 512k/512k [00:00<00:00, 840kB/s]
Downloading special_tokens_map.json: 100%|██████████| 389/389 [00:00<00:00, 26.0kB/s]
Downloading tokenizer_config.json: 100%|██████████| 905/905 [00:00<00:00, 63.4kB/s]
Text model...
Downloading config.json: 100%|██████████| 4.41k/4.41k [00:00<00:00, 304kB/s]
Downloading pytorch_model.bin: 100%|██████████| 1.59G/1.59G [02:06<00:00, 13.5MB/s]
damian@Damians-mac-mini stable-diffusion %

which actually looks like it didn't complete, huh.

@damian0815
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running again, i'm not getting the "You're all set!" message and ff

damian@Damians-mac-mini stable-diffusion % ./docker-build/build.sh
You are using these values:
Dockerfile:		 docker-build/Dockerfile
project_name:		 invokeai
volumename:		 invokeai_data
arch:			 x86_64
platform:		 Linux/x86_64
invokeai_tag:		 invokeai:x86_64

Volume already exists
[+] Building 1.4s (10/10) FINISHED
 => [internal] load build definition from Dockerfile                                                              0.0s
 => => transferring dockerfile: 37B                                                                               0.0s
 => [internal] load .dockerignore                                                                                 0.0s
 => => transferring context: 34B                                                                                  0.0s
 => [internal] load metadata for docker.io/library/ubuntu:22.10                                                   1.3s
 => [1/5] FROM docker.io/library/ubuntu:22.10@sha256:edc5125bd9443ab5d5c92096cf0e481f5e8cb12db9f5461ab1ab7a936c7  0.0s
 => [internal] load build context                                                                                 0.1s
 => => transferring context: 41.84kB                                                                              0.1s
 => CACHED [2/5] RUN apt-get update   && apt-get install -y     --no-install-recommends     build-essential       0.0s
 => CACHED [3/5] WORKDIR /invokeai                                                                                0.0s
 => CACHED [4/5] COPY . .                                                                                         0.0s
 => CACHED [5/5] RUN cp   ./environments-and-requirements/requirements-lin-cuda.txt   requirements-lin-cuda.txt   0.0s
 => exporting to image                                                                                            0.0s
 => => exporting layers                                                                                           0.0s
 => => writing image sha256:3644cfe22267d11d96bee0c29be4f4781f863c1e64926c15f239419c2fae2474                      0.0s
 => => naming to docker.io/library/invokeai:x86_64                                                                0.0s

Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them
/data/models/ldm/stable-diffusion-v1/
/data/models/ldm/stable-diffusion-v1/
/data/models/ldm/stable-diffusion-v1/
Installing bert tokenizer (ignore deprecation errors)...
...success
Installing CLIP model (ignore deprecation errors)...
Tokenizer...
Text model...
damian@Damians-mac-mini stable-diffusion %

@mauwii
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mauwii commented Nov 27, 2022

It's a bit strange actually, yes :-/

@mauwii
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mauwii commented Nov 27, 2022

could you clone the repo to another folder again (or do a git reset --hard origin/update-dockerfile, but if you have custom changes this would delete them, why I recommend a new clone)

Since the scripts are cloned from the source folder now, I suspect there is the root cause of your problem.

@damian0815
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i'm trying to run sh inside the container by replacing the command to start invoke with /bin/sh and it's giving me

SyntaxError: Non-UTF-8 code starting with '\xa7' in file /bin/sh on line 2, but no encoding declared; see https://python.org/dev/peps/pep-0263/ for details

which i don't know how to fix

@mauwii
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mauwii commented Nov 27, 2022

Ahhhh - you could also try to export ARCH=aarch64 before running the built

@mauwii
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mauwii commented Nov 27, 2022

btw: to run /bin/sh you would need to add --entrypoint="/bin/sh" to the docker run command, since the entrypoint is actualy python, which can indeed not run /bin/sh ;P

@damian0815
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damian0815 commented Nov 27, 2022

Ahhhh - you could also try to export ARCH=aarch64 before running the built

same problem (incomplete build of models image) (this is in a fresh clone)

damian@Damians-mac-mini stable-diffusion-docker % ARCH=aarch64 ./docker-build/build.sh
You are using these values:
Dockerfile:		 docker-build/Dockerfile
project_name:		 invokeai
volumename:		 invokeai_data
arch:			 aarch64
platform:		 Linux/aarch64
invokeai_tag:		 invokeai:aarch64

Volume already exists
[+] Building 126.7s (10/10) FINISHED
 => [internal] load build definition from Dockerfile                                                              0.0s
 => => transferring dockerfile: 37B                                                                               0.0s
 => [internal] load .dockerignore                                                                                 0.0s
 => => transferring context: 34B                                                                                  0.0s
 => [internal] load metadata for docker.io/library/ubuntu:22.10                                                   1.0s
 => [1/5] FROM docker.io/library/ubuntu:22.10@sha256:edc5125bd9443ab5d5c92096cf0e481f5e8cb12db9f5461ab1ab7a936c7  2.4s
 => => resolve docker.io/library/ubuntu:22.10@sha256:edc5125bd9443ab5d5c92096cf0e481f5e8cb12db9f5461ab1ab7a936c7  0.0s
 => => sha256:edc5125bd9443ab5d5c92096cf0e481f5e8cb12db9f5461ab1ab7a936c7f7d30 1.42kB / 1.42kB                    0.0s
 => => sha256:342a2a2185759db2435ea1260cdcef460ef3ab9b1e27313219cee7b38d97cdf8 529B / 529B                        0.0s
 => => sha256:bd0f2ee1f44f455fd39461966b77ea59a9ea596ea71359c52ab7e91571afac2e 1.48kB / 1.48kB                    0.0s
 => => sha256:c2a61899dd54b8fa20d519378edf37b06404d36e3ec868e7419d7ec51730b03b 26.68MB / 26.68MB                  1.6s
 => => extracting sha256:c2a61899dd54b8fa20d519378edf37b06404d36e3ec868e7419d7ec51730b03b                         0.7s
 => [internal] load build context                                                                                 0.0s
 => => transferring context: 34.51kB                                                                              0.0s
 => [2/5] RUN apt-get update   && apt-get install -y     --no-install-recommends     build-essential     gcc     20.3s
 => [3/5] WORKDIR /invokeai                                                                                       0.0s
 => [4/5] COPY . .                                                                                                0.1s
 => [5/5] RUN cp   ./environments-and-requirements/requirements-lin-cuda.txt   requirements-lin-cuda.txt   && p  94.1s
 => exporting to image                                                                                            8.6s
 => => exporting layers                                                                                           8.6s
 => => writing image sha256:4107da08284a14a21ecc3bdfc15e26fdfc8c1d7ebe384efe6d935f4a1102274a                      0.0s
 => => naming to docker.io/library/invokeai:aarch64                                                               0.0s

Use 'docker scan' to run Snyk tests against images to find vulnerabilities and learn how to fix them
/usr/local/lib/python3.10/dist-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension:
  warn(f"Failed to load image Python extension: {e}")
/data/models/ldm/stable-diffusion-v1/
/data/models/ldm/stable-diffusion-v1/
/data/models/ldm/stable-diffusion-v1/
Installing bert tokenizer (ignore deprecation errors)...
...success
Installing CLIP model (ignore deprecation errors)...
Tokenizer...
Text model...
damian@Damians-mac-mini stable-diffusion-docker %

@damian0815
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damian0815 commented Nov 27, 2022

btw: to run /bin/sh you would need to add --entrypoint="/bin/sh" to the docker run command, since the entrypoint is actualy python, which can indeed not run /bin/sh ;P

doesn't seem to work. i made a copy of build.sh → build-debug.sh, edited command to

docker run \
  --rm \
  --platform "$platform" \
  --name "$project_name" \
  --hostname "$project_name" \
  --mount source="$volumename",target=/data \
  --mount type=bind,source="$HOME/.huggingface",target=/root/.huggingface \
  --env HUGGINGFACE_TOKEN=${HUGGINGFACE_TOKEN} \
  --entrypoint="/bin/sh" \
  -it \
  "${invokeai_tag}" \
  /bin/sh

result:

/bin/sh: 1: �ELF�@C@: not found
/bin/sh: 2: Syntax error: "(" unexpected

@mauwii
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mauwii commented Nov 27, 2022

you missed the backslash behind --entrypoint="/bin/sh"

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mauwii commented Nov 27, 2022

now u try to run /bin/sh /bin/sh, which will not work

since your entrypoint is /bin/sh and your command is also /bin/sh

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ok i managed to get into the image and figure out i need to type python3 instead of python. whee.

but it's not more informative, it just says "killed":

# python3 scripts/configure_invokeai.py --yes
Loading Python libraries...

/usr/local/lib/python3.10/dist-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension:
  warn(f"Failed to load image Python extension: {e}")
Welcome to InvokeAI. This script will help download the Stable Diffusion weight files
and other large models that are needed for text to image generation. At any point you may interrupt
this program and resume later.

** INITIALIZING INVOKEAI RUNTIME DIRECTORY **
InvokeAI models and configuration files will be placed into /data and image outputs will be placed into /data/outputs.

You may change these values at any time by editing the --root and --output_dir options in "/root/.invokeai",
You may also change the runtime directory by setting the environment variable INVOKEAI_ROOT.

Creating the initialization file at "/root/.invokeai".

(Initializing with runtime root /data)

** DOWNLOADING DIFFUSION WEIGHTS **
/data/models/ldm/stable-diffusion-v1/
* v1-5-pruned-emaonly.ckpt: complete file found. Skipping.
/data/models/ldm/stable-diffusion-v1/
* sd-v1-5-inpainting.ckpt: complete file found. Skipping.
/data/models/ldm/stable-diffusion-v1/
* vae-ft-mse-840000-ema-pruned.ckpt: complete file found. Skipping.
Successfully installed stable-diffusion-1.5, inpainting-1.5, ft-mse-improved-autoencoder-840000
** /data/configs/models.yaml exists. Renaming to /data/configs/models.yaml.orig
Successfully created new configuration file /data/configs/models.yaml

** DOWNLOADING SUPPORT MODELS **
Installing bert tokenizer (ignore deprecation errors)...
...success
Installing CLIP model (ignore deprecation errors)...
Tokenizer...
Text model...
Killed

same result if i skip --yes on the command

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damian0815 commented Nov 27, 2022

i apt install'd gdb but no further info:

...
** DOWNLOADING SUPPORT MODELS **
Installing bert tokenizer (ignore deprecation errors)...
...success
Installing CLIP model (ignore deprecation errors)...
Tokenizer...
Text model...
[Thread 0xffffac97f1a0 (LWP 413) exited]
[Thread 0xffffaf18f1a0 (LWP 412) exited]
[Thread 0xffffb199f1a0 (LWP 411) exited]

Program terminated with signal SIGKILL, Killed.
The program no longer exists.
(gdb)

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mauwii commented Nov 27, 2022

how high is your setting for RAM etc in Docker?

image

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how high is your setting for RAM etc in Docker?

bingo

pushed it up to 4GB (was 2) and now it seems to be getting past that

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confirmed working on macos with aarch64 platform

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@mauwii should i merge it or do you want to?

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mauwii commented Nov 28, 2022

just did a small last minute fix to the build script. As soon as the checks are done I will merge it 🤓 Thx for you patience @damian0815!!!

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I'm satisfied from the conversation that the various issues have been fixed and am happy to approve this PR.

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I approve the merged changes.

@mauwii mauwii merged commit 3f6d0fb into development Nov 28, 2022
@mauwii mauwii deleted the update-dockerfile branch November 28, 2022 17:20
lstein added a commit that referenced this pull request Nov 30, 2022
* 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 903edfb.

* 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 248068f.

* 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 5511c82.

* 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 33c92ec.

* 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>
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