Update dream.py. k_euler_a and k_dpm_2_a M1 fix (#579)

* Update dream.py. k_euler_a and k_dpm_2_a M1 fix

Make results reproducible (so runs with the same seed produce the same result).
Implements fix by @wbowling referenced in https://github.com/lstein/stable-diffusion/issues/397#issuecomment-1240679294

* Update dream.py. Remove import torch from dream.py

* generate.py: k_euler_a and k_dpm_2_a M1 fix #579

Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>

ldm/generate.py

@@ -28,6 +28,24 @@ from ldm.dream.image_util          import InitImageResizer
 from ldm.dream.devices             import choose_torch_device
 from ldm.dream.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:

scripts/dream.py

@@ -20,7 +20,6 @@ from omegaconf import OmegaConf
 # Just want to get the formatting look right for now.
 output_cntr = 0
 
-
 def main():
     """Initialize command-line parsers and the diffusion model"""
     arg_parser = create_argv_parser()