diff --git a/ldm/dream/restoration/realesrgan.py b/ldm/dream/restoration/realesrgan.py
index 0836021031..dc3eebd912 100644
--- a/ldm/dream/restoration/realesrgan.py
+++ b/ldm/dream/restoration/realesrgan.py
@@ -1,7 +1,6 @@
 import torch
 import warnings
 import numpy as np
-from ldm.dream.devices import choose_precision, choose_torch_device
 
 from PIL import Image
 
@@ -9,12 +8,17 @@ from PIL import Image
 class ESRGAN():
     def __init__(self, bg_tile_size=400) -> None:
         self.bg_tile_size = bg_tile_size
-        device = torch.device(choose_torch_device())
-        precision = choose_precision(device)
-        use_half_precision = precision == 'float16'
 
-    def load_esrgan_bg_upsampler(self, precision):
-        use_half_precision = precision == 'float16'
+        if not torch.cuda.is_available():  # CPU or MPS on M1
+            use_half_precision = False
+        else:
+            use_half_precision = True
+
+    def load_esrgan_bg_upsampler(self):
+        if not torch.cuda.is_available():  # CPU or MPS on M1
+            use_half_precision = False
+        else:
+            use_half_precision = True
 
         from realesrgan.archs.srvgg_arch import SRVGGNetCompact
         from realesrgan import RealESRGANer
@@ -35,13 +39,13 @@ class ESRGAN():
 
         return bg_upsampler
 
-    def process(self, image, strength: float, seed: str = None, upsampler_scale: int = 2, precision: str = 'float16'):
+    def process(self, image, strength: float, seed: str = None, upsampler_scale: int = 2):
         with warnings.catch_warnings():
             warnings.filterwarnings('ignore', category=DeprecationWarning)
             warnings.filterwarnings('ignore', category=UserWarning)
 
             try:
-                upsampler = self.load_esrgan_bg_upsampler(precision)
+                upsampler = self.load_esrgan_bg_upsampler()
             except Exception:
                 import traceback
                 import sys
diff --git a/ldm/generate.py b/ldm/generate.py
index 504314ef91..fc40fa6152 100644
--- a/ldm/generate.py
+++ b/ldm/generate.py
@@ -599,8 +599,7 @@ class Generate:
                 opt,
                 args,
                 image_callback = callback,
-                prefix         = prefix,
-                precision      = self.precision,
+                prefix         = prefix
             )
                 
         elif tool is None:
@@ -771,7 +770,7 @@ class Generate:
                         if len(upscale) < 2:
                             upscale.append(0.75)
                         image = self.esrgan.process(
-                            image, upscale[1], seed, int(upscale[0]), precision=self.precision)
+                            image, upscale[1], seed, int(upscale[0]))
                     else:
                         print(">> ESRGAN is disabled. Image not upscaled.")
             except Exception as e: