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authorAUTOMATIC1111 <16777216c@gmail.com>2023-04-29 11:16:06 +0300
committerGitHub <noreply@github.com>2023-04-29 11:16:06 +0300
commitcb9571e37fc1c0ee22c92ee726147f64ee80f07a (patch)
tree276c16e211146d0934c9aa330556545294b1a1ad /modules/sd_samplers_common.py
parent09069918e8e6e4e25a804d34c803abc3b76ae84a (diff)
parentd40e44ade479f7bba30d5317381cbc58c861775b (diff)
Merge pull request #9734 from deciare/cpu-randn
Option to make images generated from a given manual seed consistent across CUDA and MPS devices
Diffstat (limited to 'modules/sd_samplers_common.py')
-rw-r--r--modules/sd_samplers_common.py9
1 files changed, 9 insertions, 0 deletions
diff --git a/modules/sd_samplers_common.py b/modules/sd_samplers_common.py
index a1aac7cf..e6a372d5 100644
--- a/modules/sd_samplers_common.py
+++ b/modules/sd_samplers_common.py
@@ -60,3 +60,12 @@ def store_latent(decoded):
class InterruptedException(BaseException):
pass
+
+if opts.use_cpu_randn:
+ import torchsde._brownian.brownian_interval
+
+ def torchsde_randn(size, dtype, device, seed):
+ generator = torch.Generator(devices.cpu).manual_seed(int(seed))
+ return torch.randn(size, dtype=dtype, device=devices.cpu, generator=generator).to(device)
+
+ torchsde._brownian.brownian_interval._randn = torchsde_randn