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reintroduce fix for m1 from PR#579 missing after merge

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Make results reproducible (so runs with the same seed produce the same result).
Implements fix by @wbowling referenced in https://github.com/invoke-ai/InvokeAI/issues/397#issuecomment-1240679294
This commit is contained in:
Jan Skurovec 2022-10-11 21:25:57 +02:00 committed by Any-Winter-4079
parent 79e79b78aa
commit 8ea07f3bb0
1 changed files with 18 additions and 0 deletions
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18
ldm/generate.py
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@ -34,6 +34,24 @@ from ldm.invoke.image_util import InitImageResizer
from ldm.invoke.devices import choose_torch_device, choose_precision
from ldm.invoke.conditioning import get_uc_and_c
def fix_func(orig):
if hasattr(torch.backends, 'mps') and torch.backends.mps.is_available():
def new_func(*args, **kw):
device = kw.get("device", "mps")
kw["device"]="cpu"
return orig(*args, **kw).to(device)
return new_func
return orig
torch.rand = fix_func(torch.rand)
torch.rand_like = fix_func(torch.rand_like)
torch.randn = fix_func(torch.randn)
torch.randn_like = fix_func(torch.randn_like)
torch.randint = fix_func(torch.randint)
torch.randint_like = fix_func(torch.randint_like)
torch.bernoulli = fix_func(torch.bernoulli)
torch.multinomial = fix_func(torch.multinomial)
"""Simplified text to image API for stable diffusion/latent diffusion
Example Usage: