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Correct some verbiage in Mac readme.

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Cora Johnson-Roberson 2022-09-01 10:11:14 -04:00 committed by GitHub
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README-Mac-MPS.md
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@ -12,7 +12,7 @@ issue](https://github.com/CompVis/stable-diffusion/issues/25), and generally on
You have to have macOS 12.3 Monterey or later. Anything earlier than that won't work. You have to have macOS 12.3 Monterey or later. Anything earlier than that won't work.
Tested on a 2022 Macbook M2 Air with 10-core gpu 24 GB unified memory. Tested on a 2022 Macbook M2 Air with 10-core GPU and 24 GB unified memory.
How to: How to:
@ -31,13 +31,13 @@ python scripts/preload_models.py
python scripts/dream.py --full_precision # half-precision requires autocast and won't work python scripts/dream.py --full_precision # half-precision requires autocast and won't work
``` ```
After you follow all the instructions and run txt2img.py you might get several errors. Here's the errors I've seen and found solutions for. After you follow all the instructions and run dream.py you might get several errors. Here's the errors I've seen and found solutions for.
### Is it slow? ### Is it slow?
Be sure to specify 1 sample and 1 iteration. Be sure to specify 1 sample and 1 iteration.
python ./scripts/txt2img.py --prompt "ocean" --ddim_steps 5 --n_samples 1 --n_iter 1 python ./scripts/orig_scripts/txt2img.py --prompt "ocean" --ddim_steps 5 --n_samples 1 --n_iter 1
### Doesn't work anymore? ### Doesn't work anymore?
@ -215,4 +215,4 @@ This is due to the Intel `mkl` package getting picked up when you try to install
something that depends on it-- Rosetta can translate some Intel instructions but something that depends on it-- Rosetta can translate some Intel instructions but
not the specialized ones here. To avoid this, make sure to use the environment not the specialized ones here. To avoid this, make sure to use the environment
variable `CONDA_SUBDIR=osx-arm64`, which restricts the Conda environment to only variable `CONDA_SUBDIR=osx-arm64`, which restricts the Conda environment to only
use ARM packages, and use `nomkl` as described above. use ARM packages, and use `nomkl` as described above.