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Update references to lstein/stable-diffusion to invoke-ai/InvokeAI

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Jim Hays 2022-09-30 21:50:41 -04:00 committed by Lincoln Stein
parent f6e858a548
commit dc9c16b93d
1 changed files with 17 additions and 23 deletions
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40
docs/installation/INSTALL_MAC.md
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@ -95,10 +95,9 @@ While that is downloading, open a Terminal and run the following commands:
```{.bash .annotate title="local repo setup"}
# clone the repo
git clone https://github.com/invoke-ai/InvokeAI.git
cd InvokeAI
# wait until the checkpoint file has downloaded, then proceed
# Download the checkpoint file, and then proceed
# create symlink to checkpoint
mkdir -p models/ldm/stable-diffusion-v1/
@ -172,13 +171,13 @@ python ./scripts/orig_scripts/txt2img.py \
### Doesn't work anymore?
PyTorch nightly includes support for MPS. Because of this, this setup is
inherently unstable. One morning I woke up and it no longer worked no matter
what I did until I switched to miniforge. However, I have another Mac that works
just fine with Anaconda. If you can't get it to work, please search a little
first because many of the errors will get posted and solved. If you can't find a
solution please
[create an issue](https://github.com/invoke-ai/InvokeAI/issues).
PyTorch nightly includes support for MPS. Because of this, this setup
is inherently unstable. One morning I woke up and it no longer worked
no matter what I did until I switched to miniforge. However, I have
another Mac that works just fine with Anaconda. If you can't get it to
work, please search a little first because many of the errors will get
posted and solved. If you can't find a solution please [create an
issue](https://github.com/invoke-ai/InvokeAI/issues).
One debugging step is to update to the latest version of PyTorch nightly.
@ -378,8 +377,8 @@ python scripts/preload_models.py
WARNING: this will be slower than running natively on MPS.
```
This fork already includes a fix for this in
[environment-mac.yml](https://github.com/invoke-ai/InvokeAI/blob/main/environment-mac.yml).
The InvokeAI version includes this fix in
[environment-mac.yaml](https://github.com/invoke-ai/InvokeAI/blob/main/environment-mac.yaml).
### "Could not build wheels for tokenizers"
@ -463,13 +462,10 @@ C.
You don't have a virus. It's part of the project. Here's
[Rick](https://github.com/invoke-ai/InvokeAI/blob/main/assets/rick.jpeg)
and here's
[the code](https://github.com/invoke-ai/InvokeAI/blob/69ae4b35e0a0f6ee1af8bb9a5d0016ccb27e36dc/scripts/txt2img.py#L79)
that swaps him in. It's a NSFW filter, which IMO, doesn't work very good (and we
call this "computer vision", sheesh).
Actually, this could be happening because there's not enough RAM. You could try
the `model.half()` suggestion or specify smaller output images.
and here's [the
code](https://github.com/invoke-ai/InvokeAI/blob/69ae4b35e0a0f6ee1af8bb9a5d0016ccb27e36dc/scripts/txt2img.py#L79)
that swaps him in. It's a NSFW filter, which IMO, doesn't work very
good (and we call this "computer vision", sheesh).
---
@ -492,11 +488,9 @@ return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backen
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.
```
Update to the latest version of invoke-ai/InvokeAI. We were patching
pytorch but we found a file in stable-diffusion that we could change instead.
This is a 32-bit vs 16-bit problem.
---
Update to the latest version of invoke-ai/InvokeAI. We were
patching pytorch but we found a file in stable-diffusion that we could
change instead. This is a 32-bit vs 16-bit problem.
### The processor must support the Intel bla bla bla