diff --git a/docs/features/MODEL_MERGING.md b/docs/features/MODEL_MERGING.md new file mode 100644 index 0000000000..b94e1e4314 --- /dev/null +++ b/docs/features/MODEL_MERGING.md @@ -0,0 +1,77 @@ +--- +title: Model Merging +--- + +# :material-image-off: Model Merging + +## How to Merge Models + +As of version 2.3, InvokeAI comes with a script that allows you to +merge two or three diffusers-type models into a new merged model. The +resulting model will combine characteristics of the original, and can +be used to teach an old model new tricks. + +You may run the merge script by starting the invoke launcher +(`invoke.sh` or `invoke.bat`) and choosing the option for _merge +models_. This will launch a text-based interactive user interface that +prompts you to select the models to merge, how to merge them, and the +merged model name. + +Alternatively you may activate InvokeAI's virtual environment from the +command line, and call the script via `merge_models_fe.py` (the "fe" +stands for "front end"). There is also a version that accepts +command-line arguments, which you can run with the command +`merge_models.py`. + +The user interface for the text-based interactive script is +straightforward. It shows you a series of setting fields. Use control-N (^N) +to move to the next field, and control-P (^P) to move to the previous +one. You can also use TAB and shift-TAB to move forward and +backward. Once you are in a multiple choice field, use the up and down +cursor arrows to move to your desired selection, and press or + to select it. Change text fields by typing in them, and adjust +scrollbars using the left and right arrow keys. + +Once you are happy with your settings, press the OK button. Note that +there may be two pages of settings, depending on the height of your +screen, and the OK button may be on the second page. Advance past the +last field of the first page to get to the second page, and reverse +this to get back. + +If the merge runs successfully, it will create a new diffusers model +under the selected name and register it with InvokeAI. + +## The Settings + +* Model Selection -- there are three multiple choice fields that + display all the diffusers-style models that InvokeAI knows about. + If you do not see the model you are looking for, then it is probably + a legacy checkpoint model and needs to be converted using the + `invoke.py` command-line client and its `!optimize` command. You + must select at least two models to merge. The third can be left at + "None" if you desire. + +* Alpha -- This is the ratio to use when combining models. It ranges + from 0 to 1. The higher the value, the more weight is given to the + 2d and (optionally) 3d models. So if you have two models named "A" + and "B", an alpha value of 0.25 will give you a merged model that is + 25% A and 75% B. + +* Interpolation Method -- This is the method used to combine + weights. The options are "weighted_sum" (the default), "sigmoid", + "inv_sigmoid" and "add_difference". Each produces slightly different + results. When three models are in use, only "add_difference" is + available. (TODO: cite a reference that describes what these + interpolation methods actually do and how to decide among them). + +* Force -- Not all models are compatible with each other. The merge + script will check for compatibility and refuse to merge ones that + are incompatible. Set this checkbox to try merging anyway. + +* Name for merged model - This is the name for the new model. Please + use InvokeAI conventions - only alphanumeric letters and the + characters ".+-". + +## Caveats + +This is a new script and may contain bugs. diff --git a/docs/index.md b/docs/index.md index 3c5bd3904b..e20535d591 100644 --- a/docs/index.md +++ b/docs/index.md @@ -93,9 +93,15 @@ getting InvokeAI up and running on your system. For alternative installation and upgrade instructions, please see: [InvokeAI Installation Overview](installation/) -Linux users who wish to make use of the PyPatchMatch inpainting functions will -need to perform a bit of extra work to enable this module. Instructions can be -found at [Installing PyPatchMatch](installation/060_INSTALL_PATCHMATCH.md). +Users who wish to make use of the **PyPatchMatch** inpainting functions +will need to perform a bit of extra work to enable this +module. Instructions can be found at [Installing +PyPatchMatch](installation/060_INSTALL_PATCHMATCH.md). + +If you have an NVIDIA card, you can benefit from the significant +memory savings and performance benefits provided by Facebook Lab's +**xFormers** module. Instructions for Linux and Windows users can be found +at [Installing xFormers](installation/070_INSTALL_XFORMERS.md). ## :fontawesome-solid-computer: Hardware Requirements @@ -151,6 +157,8 @@ images in full-precision mode: - [Prompt Engineering](features/PROMPTS.md) +- [Model Merging](features/MODEL_MERGING.md) + - Miscellaneous - [NSFW Checker](features/NSFW.md) - [Embiggen upscaling](features/EMBIGGEN.md) diff --git a/docs/installation/070_INSTALL_XFORMERS.md b/docs/installation/070_INSTALL_XFORMERS.md new file mode 100644 index 0000000000..be54a3ee86 --- /dev/null +++ b/docs/installation/070_INSTALL_XFORMERS.md @@ -0,0 +1,206 @@ +--- +title: Installing xFormers +--- + +# :material-image-size-select-large: Installing xformers + +xFormers is toolbox that integrates with the pyTorch and CUDA +libraries to provide accelerated performance and reduced memory +consumption for applications using the transformers machine learning +architecture. After installing xFormers, InvokeAI users who have +CUDA GPUs will see a noticeable decrease in GPU memory consumption and +an increase in speed. + +xFormers can be installed into a working InvokeAI installation without +any code changes or other updates. This document explains how to +install xFormers. + +## Pip Install + +For both Windows and Linux, you can install `xformers` in just a +couple of steps from the command line. + +If you are used to launching `invoke.sh` or `invoke.bat` to start +InvokeAI, then run the launcher and select the "developer's console" +to get to the command line. If you run invoke.py directly from the +command line, then just be sure to activate it's virtual environment. + +Then run the following three commands: + +```sh +pip install xformers==0.0.16rc425 +pip install triton +python -m xformers.info output +``` + +The first command installs `xformers`, the second installs the +`triton` training accelerator, and the third prints out the `xformers` +installation status. If all goes well, you'll see a report like the +following: + +```sh +xFormers 0.0.16rc425 +memory_efficient_attention.cutlassF: available +memory_efficient_attention.cutlassB: available +memory_efficient_attention.flshattF: available +memory_efficient_attention.flshattB: available +memory_efficient_attention.smallkF: available +memory_efficient_attention.smallkB: available +memory_efficient_attention.tritonflashattF: available +memory_efficient_attention.tritonflashattB: available +swiglu.fused.p.cpp: available +is_triton_available: True +is_functorch_available: False +pytorch.version: 1.13.1+cu117 +pytorch.cuda: available +gpu.compute_capability: 8.6 +gpu.name: NVIDIA RTX A2000 12GB +build.info: available +build.cuda_version: 1107 +build.python_version: 3.10.9 +build.torch_version: 1.13.1+cu117 +build.env.TORCH_CUDA_ARCH_LIST: 5.0+PTX 6.0 6.1 7.0 7.5 8.0 8.6 +build.env.XFORMERS_BUILD_TYPE: Release +build.env.XFORMERS_ENABLE_DEBUG_ASSERTIONS: None +build.env.NVCC_FLAGS: None +build.env.XFORMERS_PACKAGE_FROM: wheel-v0.0.16rc425 +source.privacy: open source +``` + +## Source Builds + +`xformers` is currently under active development and at some point you +may wish to build it from sourcce to get the latest features and +bugfixes. + +### Source Build on Linux + +Note that xFormers only works with true NVIDIA GPUs and will not work +properly with the ROCm driver for AMD acceleration. + +xFormers is not currently available as a pip binary wheel and must be +installed from source. These instructions were written for a system +running Ubuntu 22.04, but other Linux distributions should be able to +adapt this recipe. + +#### 1. Install CUDA Toolkit 11.7 + +You will need the CUDA developer's toolkit in order to compile and +install xFormers. **Do not try to install Ubuntu's nvidia-cuda-toolkit +package.** It is out of date and will cause conflicts among the NVIDIA +driver and binaries. Instead install the CUDA Toolkit package provided +by NVIDIA itself. Go to [CUDA Toolkit 11.7 +Downloads](https://developer.nvidia.com/cuda-11-7-0-download-archive) +and use the target selection wizard to choose your platform and Linux +distribution. Select an installer type of "runfile (local)" at the +last step. + +This will provide you with a recipe for downloading and running a +install shell script that will install the toolkit and drivers. For +example, the install script recipe for Ubuntu 22.04 running on a +x86_64 system is: + +``` +wget https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_linux.run +sudo sh cuda_11.7.0_515.43.04_linux.run +``` + +Rather than cut-and-paste this example, We recommend that you walk +through the toolkit wizard in order to get the most up to date +installer for your system. + +#### 2. Confirm/Install pyTorch 1.13 with CUDA 11.7 support + +If you are using InvokeAI 2.3 or higher, these will already be +installed. If not, you can check whether you have the needed libraries +using a quick command. Activate the invokeai virtual environment, +either by entering the "developer's console", or manually with a +command similar to `source ~/invokeai/.venv/bin/activate` (depending +on where your `invokeai` directory is. + +Then run the command: + +```sh +python -c 'exec("import torch\nprint(torch.__version__)")' +``` + +If it prints __1.13.1+cu117__ you're good. If not, you can install the +most up to date libraries with this command: + +```sh +pip install --upgrade --force-reinstall torch torchvision +``` + +#### 3. Install the triton module + +This module isn't necessary for xFormers image inference optimization, +but avoids a startup warning. + +```sh +pip install triton +``` + +#### 4. Install source code build prerequisites + +To build xFormers from source, you will need the `build-essentials` +package. If you don't have it installed already, run: + +```sh +sudo apt install build-essential +``` + +#### 5. Build xFormers + +There is no pip wheel package for xFormers at this time (January +2023). Although there is a conda package, InvokeAI no longer +officially supports conda installations and you're on your own if you +wish to try this route. + +Following the recipe provided at the [xFormers GitHub +page](https://github.com/facebookresearch/xformers), and with the +InvokeAI virtual environment active (see step 1) run the following +commands: + +```sh +pip install ninja +export TORCH_CUDA_ARCH_LIST="6.0;6.1;6.2;7.0;7.2;7.5;8.0;8.6" +pip install -v -U git+https://github.com/facebookresearch/xformers.git@main#egg=xformers +``` + +The TORCH_CUDA_ARCH_LIST is a list of GPU architectures to compile +xFormer support for. You can speed up compilation by selecting +the architecture specific for your system. You'll find the list of +GPUs and their architectures at NVIDIA's [GPU Compute +Capability](https://developer.nvidia.com/cuda-gpus) table. + +If the compile and install completes successfully, you can check that +xFormers is installed with this command: + +```sh +python -m xformers.info +``` + +If suiccessful, the top of the listing should indicate "available" for +each of the `memory_efficient_attention` modules, as shown here: + +```sh +memory_efficient_attention.cutlassF: available +memory_efficient_attention.cutlassB: available +memory_efficient_attention.flshattF: available +memory_efficient_attention.flshattB: available +memory_efficient_attention.smallkF: available +memory_efficient_attention.smallkB: available +memory_efficient_attention.tritonflashattF: available +memory_efficient_attention.tritonflashattB: available +[...] +``` + +You can now launch InvokeAI and enjoy the benefits of xFormers. + +### Windows + +To come + + +--- +(c) Copyright 2023 Lincoln Stein and the InvokeAI Development Team diff --git a/docs/installation/index.md b/docs/installation/index.md index ef50cbab5f..51753f2c9b 100644 --- a/docs/installation/index.md +++ b/docs/installation/index.md @@ -18,7 +18,9 @@ experience and preferences. InvokeAI and its dependencies. We offer two recipes: one suited to those who prefer the `conda` tool, and one suited to those who prefer `pip` and Python virtual environments. In our hands the pip install - is faster and more reliable, but your mileage may vary. + is faster and more reliable, but your mileage may vary. + Note that the conda installation method is currently deprecated and + will not be supported at some point in the future. This method is recommended for users who have previously used `conda` or `pip` in the past, developers, and anyone who wishes to remain on diff --git a/frontend/dist/assets/index-legacy-474a75fe.js b/frontend/dist/assets/index-legacy-6edbec57.js similarity index 59% rename from frontend/dist/assets/index-legacy-474a75fe.js rename to frontend/dist/assets/index-legacy-6edbec57.js index b48c03f8f8..df48761d1e 100644 --- a/frontend/dist/assets/index-legacy-474a75fe.js +++ b/frontend/dist/assets/index-legacy-6edbec57.js @@ -1,4 +1,4 @@ -!function(){function e(e,t,n){return(t=function(e){var t=function(e,t){if("object"!=typeof e||null===e)return e;var n=e[Symbol.toPrimitive];if(void 0!==n){var r=n.call(e,t||"default");if("object"!=typeof r)return r;throw new TypeError("@@toPrimitive must return a primitive value.")}return("string"===t?String:Number)(e)}(e,"string");return"symbol"==typeof t?t:String(t)}(t))in 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svg{width:10rem;height:10rem;color:var(--svg-color)}.current-image-options{width:100%;display:flex;justify-content:center;align-items:center;column-gap:.5em}.current-image-options .current-image-send-to-popover,.current-image-options .current-image-postprocessing-popover{display:flex;flex-direction:column;row-gap:.5rem;max-width:25rem}.current-image-options .current-image-send-to-popover .invokeai__button{place-content:start}.current-image-options .chakra-popover__popper{z-index:11}.current-image-options .delete-image-btn{background-color:var(--btn-base-color)}.current-image-options .delete-image-btn svg{fill:var(--btn-delete-image)}.image-gallery-wrapper-enter{transform:translate(150%)}.image-gallery-wrapper-enter-active{transform:translate(0);transition:all .12s ease-out}.image-gallery-wrapper-exit{transform:translate(0)}.image-gallery-wrapper-exit-active{transform:translate(150%);transition:all .12s 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