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authorAUTOMATIC1111 <16777216c@gmail.com>2024-01-31 22:41:22 +0300
committerGitHub <noreply@github.com>2024-01-31 22:41:22 +0300
commit652a7bbf809d8885b3ba6d42321d5828f66ac4c6 (patch)
tree53ec9e3b048d204c4ec1ae6e1768b9128601a5c4
parent1b0931fd92a13869818a198c2e63af8f9f04ad5b (diff)
parent74b214a92a2959948dcd05a78b7380e046163871 (diff)
Merge pull request #14809 from Cyberbeing/fix_upscaler_autocast_nans
Fix potential autocast NaNs in image upscale
-rw-r--r--modules/upscaler_utils.py5
1 files changed, 3 insertions, 2 deletions
diff --git a/modules/upscaler_utils.py b/modules/upscaler_utils.py
index afed8b40..b5e5a80c 100644
--- a/modules/upscaler_utils.py
+++ b/modules/upscaler_utils.py
@@ -6,7 +6,7 @@ import torch
import tqdm
from PIL import Image
-from modules import images, shared, torch_utils
+from modules import devices, images, shared, torch_utils
logger = logging.getLogger(__name__)
@@ -44,7 +44,8 @@ def upscale_pil_patch(model, img: Image.Image) -> Image.Image:
with torch.no_grad():
tensor = pil_image_to_torch_bgr(img).unsqueeze(0) # add batch dimension
tensor = tensor.to(device=param.device, dtype=param.dtype)
- return torch_bgr_to_pil_image(model(tensor))
+ with devices.without_autocast():
+ return torch_bgr_to_pil_image(model(tensor))
def upscale_with_model(