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Update README.md to include M3 (#5092)

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## What type of PR is this? (check all applicable)

- [ ] Refactor
- [ ] Feature
- [ ] Bug Fix
- [ ] Optimization
- [x] Documentation Update
- [ ] Community Node Submission


## Have you discussed this change with the InvokeAI team?
- [ ] Yes
- [x] No, because:

      
## Have you updated all relevant documentation?
- [x] Yes
- [ ] No


## Description


## Related Tickets & Documents

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## QA Instructions, Screenshots, Recordings

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software specifications as well as any other pertinent information. 
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## Added/updated tests?

- [ ] Yes
- [x] No : _please replace this line with details on why tests
      have not been included_

## [optional] Are there any post deployment tasks we need to perform?
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Millun Atluri 2023-11-14 12:24:57 +11:00 committed by GitHub
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README.md
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@ -175,7 +175,7 @@ the command `npm install -g yarn` if needed)
pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/cpu pip install InvokeAI --use-pep517 --extra-index-url https://download.pytorch.org/whl/cpu
``` ```
_For Macintoshes, either Intel or M1/M2:_ _For Macintoshes, either Intel or M1/M2/M3:_
```sh ```sh
pip install InvokeAI --use-pep517 pip install InvokeAI --use-pep517

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docs/installation/010_INSTALL_AUTOMATED.md
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@ -179,7 +179,7 @@ experimental versions later.
you will have the choice of CUDA (NVidia cards), ROCm (AMD cards), you will have the choice of CUDA (NVidia cards), ROCm (AMD cards),
or CPU (no graphics acceleration). On Windows, you'll have the or CPU (no graphics acceleration). On Windows, you'll have the
choice of CUDA vs CPU, and on Macs you'll be offered CPU only. When choice of CUDA vs CPU, and on Macs you'll be offered CPU only. When
you select CPU on M1 or M2 Macintoshes, you will get MPS-based you select CPU on M1/M2/M3 Macintoshes, you will get MPS-based
graphics acceleration without installing additional drivers. If you graphics acceleration without installing additional drivers. If you
are unsure what GPU you are using, you can ask the installer to are unsure what GPU you are using, you can ask the installer to
guess. guess.

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docs/installation/040_INSTALL_DOCKER.md
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@ -30,7 +30,7 @@ methodology for details on why running applications in such a stateless fashion
The container is configured for CUDA by default, but can be built to support AMD GPUs The container is configured for CUDA by default, but can be built to support AMD GPUs
by setting the `GPU_DRIVER=rocm` environment variable at Docker image build time. by setting the `GPU_DRIVER=rocm` environment variable at Docker image build time.
Developers on Apple silicon (M1/M2): You Developers on Apple silicon (M1/M2/M3): You
[can't access your GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224) [can't access your GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224)
and performance is reduced compared with running it directly on macOS but for and performance is reduced compared with running it directly on macOS but for
development purposes it's fine. Once you're done with development tasks on your development purposes it's fine. Once you're done with development tasks on your