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fixed multiple dangling references to lstein/stable-diffusion
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Lincoln Stein
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README.md
32
README.md
@ -12,24 +12,24 @@
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[![github open issues badge]][github open issues link] [![github open prs badge]][github open prs link]
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[CI checks on dev badge]: https://flat.badgen.net/github/checks/lstein/stable-diffusion/development?label=CI%20status%20on%20dev&cache=900&icon=github
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[CI checks on dev link]: https://github.com/lstein/stable-diffusion/actions?query=branch%3Adevelopment
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[CI checks on main badge]: https://flat.badgen.net/github/checks/lstein/stable-diffusion/main?label=CI%20status%20on%20main&cache=900&icon=github
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[CI checks on main link]: https://github.com/lstein/stable-diffusion/actions/workflows/test-dream-conda.yml
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[CI checks on dev badge]: https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/development?label=CI%20status%20on%20dev&cache=900&icon=github
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[CI checks on dev link]: https://github.com/invoke-ai/InvokeAI/actions?query=branch%3Adevelopment
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[CI checks on main badge]: https://flat.badgen.net/github/checks/invoke-ai/InvokeAI/main?label=CI%20status%20on%20main&cache=900&icon=github
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[CI checks on main link]: https://github.com/invoke-ai/InvokeAI/actions/workflows/test-dream-conda.yml
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[discord badge]: https://flat.badgen.net/discord/members/htRgbc7e?icon=discord
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[discord link]: https://discord.gg/ZmtBAhwWhy
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[github forks badge]: https://flat.badgen.net/github/forks/lstein/stable-diffusion?icon=github
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[github forks badge]: https://flat.badgen.net/github/forks/invoke-ai/InvokeAI?icon=github
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[github forks link]: https://useful-forks.github.io/?repo=lstein%2Fstable-diffusion
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[github open issues badge]: https://flat.badgen.net/github/open-issues/lstein/stable-diffusion?icon=github
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[github open issues link]: https://github.com/lstein/stable-diffusion/issues?q=is%3Aissue+is%3Aopen
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[github open prs badge]: https://flat.badgen.net/github/open-prs/lstein/stable-diffusion?icon=github
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[github open prs link]: https://github.com/lstein/stable-diffusion/pulls?q=is%3Apr+is%3Aopen
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[github stars badge]: https://flat.badgen.net/github/stars/lstein/stable-diffusion?icon=github
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[github stars link]: https://github.com/lstein/stable-diffusion/stargazers
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[latest commit to dev badge]: https://flat.badgen.net/github/last-commit/lstein/stable-diffusion/development?icon=github&color=yellow&label=last%20dev%20commit&cache=900
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[latest commit to dev link]: https://github.com/lstein/stable-diffusion/commits/development
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[latest release badge]: https://flat.badgen.net/github/release/lstein/stable-diffusion/development?icon=github
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[latest release link]: https://github.com/lstein/stable-diffusion/releases
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[github open issues badge]: https://flat.badgen.net/github/open-issues/invoke-ai/InvokeAI?icon=github
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[github open issues link]: https://github.com/invoke-ai/InvokeAI/issues?q=is%3Aissue+is%3Aopen
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[github open prs badge]: https://flat.badgen.net/github/open-prs/invoke-ai/InvokeAI?icon=github
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[github open prs link]: https://github.com/invoke-ai/InvokeAI/pulls?q=is%3Apr+is%3Aopen
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[github stars badge]: https://flat.badgen.net/github/stars/invoke-ai/InvokeAI?icon=github
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[github stars link]: https://github.com/invoke-ai/InvokeAI/stargazers
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[latest commit to dev badge]: https://flat.badgen.net/github/last-commit/invoke-ai/InvokeAI/development?icon=github&color=yellow&label=last%20dev%20commit&cache=900
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[latest commit to dev link]: https://github.com/invoke-ai/InvokeAI/commits/development
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[latest release badge]: https://flat.badgen.net/github/release/invoke-ai/InvokeAI/development?icon=github
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[latest release link]: https://github.com/invoke-ai/InvokeAI/releases
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</div>
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This is a fork of [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion), the open
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@ -38,7 +38,7 @@ options to aid the image generation process. It runs on Windows, Mac and Linux m
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GPU cards with as little as 4 GB or RAM.
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_Note: This fork is rapidly evolving. Please use the
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[Issues](https://github.com/lstein/stable-diffusion/issues) tab to report bugs and make feature
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[Issues](https://github.com/invoke-ai/InvokeAI/issues) tab to report bugs and make feature
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requests. Be sure to use the provided templates. They will help aid diagnose issues faster._
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## Table of Contents
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@ -26,7 +26,7 @@ wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pt
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```
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### Install [Docker](https://github.com/santisbon/guides#docker)
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On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.
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On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/invoke-ai/InvokeAI/issues/342). You may need to increase Swap and Disk image size too.
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## Setup
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@ -27,7 +27,7 @@ title: Linux
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3. Copy the stable-diffusion source code from GitHub:
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```bash
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(base) ~$ git clone https://github.com/lstein/stable-diffusion.git
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(base) ~$ git clone https://github.com/invoke-ai/InvokeAI.git
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```
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This will create stable-diffusion folder where you will follow the rest of the
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@ -94,7 +94,7 @@ While that is downloading, open a Terminal and run the following commands:
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```{.bash .annotate title="local repo setup"}
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# clone the repo
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git clone https://github.com/lstein/stable-diffusion.git
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git clone https://github.com/invoke-ai/InvokeAI.git
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cd stable-diffusion
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# wait until the checkpoint file has downloaded, then proceed
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@ -186,7 +186,7 @@ what I did until I switched to miniforge. However, I have another Mac that works
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just fine with Anaconda. If you can't get it to work, please search a little
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first because many of the errors will get posted and solved. If you can't find a
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solution please
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[create an issue](https://github.com/lstein/stable-diffusion/issues).
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[create an issue](https://github.com/invoke-ai/InvokeAI/issues).
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One debugging step is to update to the latest version of PyTorch nightly.
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@ -395,7 +395,7 @@ python scripts/preload_models.py
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```
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This fork already includes a fix for this in
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[environment-mac.yaml](https://github.com/lstein/stable-diffusion/blob/main/environment-mac.yaml).
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[environment-mac.yaml](https://github.com/invoke-ai/InvokeAI/blob/main/environment-mac.yaml).
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---
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@ -480,9 +480,9 @@ C.
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### I just got Rickrolled! Do I have a virus?
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You don't have a virus. It's part of the project. Here's
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[Rick](https://github.com/lstein/stable-diffusion/blob/main/assets/rick.jpeg)
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[Rick](https://github.com/invoke-ai/InvokeAI/blob/main/assets/rick.jpeg)
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and here's
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[the code](https://github.com/lstein/stable-diffusion/blob/69ae4b35e0a0f6ee1af8bb9a5d0016ccb27e36dc/scripts/txt2img.py#L79)
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[the code](https://github.com/invoke-ai/InvokeAI/blob/69ae4b35e0a0f6ee1af8bb9a5d0016ccb27e36dc/scripts/txt2img.py#L79)
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that swaps him in. It's a NSFW filter, which IMO, doesn't work very good (and we
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call this "computer vision", sheesh).
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@ -510,7 +510,7 @@ return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backen
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RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.
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```
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Update to the latest version of lstein/stable-diffusion. We were patching
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Update to the latest version of invoke-ai/InvokeAI. We were patching
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pytorch but we found a file in stable-diffusion that we could change instead.
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This is a 32-bit vs 16-bit problem.
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@ -7,7 +7,7 @@ title: Windows
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## **Notebook install (semi-automated)**
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We have a
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[Jupyter notebook](https://github.com/lstein/stable-diffusion/blob/main/notebooks/Stable-Diffusion-local-Windows.ipynb)
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[Jupyter notebook](https://github.com/invoke-ai/InvokeAI/blob/main/notebooks/Stable-Diffusion-local-Windows.ipynb)
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with cell-by-cell installation steps. It will download the code in this repo as
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one of the steps, so instead of cloning this repo, simply download the notebook
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from the link above and load it up in VSCode (with the appropriate extensions
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@ -15,7 +15,7 @@ installed)/Jupyter/JupyterLab and start running the cells one-by-one.
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Note that you will need NVIDIA drivers, Python 3.10, and Git installed
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beforehand - simplified
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[step-by-step instructions](https://github.com/lstein/stable-diffusion/wiki/Easy-peasy-Windows-install)
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[step-by-step instructions](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)
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are available in the wiki (you'll only need steps 1, 2, & 3 ).
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## **Manual Install**
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@ -23,7 +23,7 @@ are available in the wiki (you'll only need steps 1, 2, & 3 ).
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### **pip**
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See
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[Easy-peasy Windows install](https://github.com/lstein/stable-diffusion/wiki/Easy-peasy-Windows-install)
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[Easy-peasy Windows install](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)
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in the wiki
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---
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@ -40,7 +40,7 @@ in the wiki
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4. Run the command:
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```batch
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git clone https://github.com/lstein/stable-diffusion.git
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git clone https://github.com/invoke-ai/InvokeAI.git
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```
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This will create stable-diffusion folder where you will follow the rest of
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@ -117,7 +117,7 @@ in the wiki
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then launch the dream script (step 9).
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**Note:** Tildebyte has written an alternative
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["Easy peasy Windows install"](https://github.com/lstein/stable-diffusion/wiki/Easy-peasy-Windows-install)
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["Easy peasy Windows install"](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)
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which uses the Windows Powershell and pew. If you are having trouble with
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Anaconda on Windows, give this a try (or try it first!)
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