mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-12-01 04:34:04 +01:00
23 lines
1.2 KiB
Diff
23 lines
1.2 KiB
Diff
diff --git a/gfpgan/utils.py b/gfpgan/utils.py
|
|
index 74ee5a8..1357f48 100644
|
|
--- a/gfpgan/utils.py
|
|
+++ b/gfpgan/utils.py
|
|
@@ -117,14 +117,14 @@ class GFPGANer():
|
|
# face restoration
|
|
for cropped_face in self.face_helper.cropped_faces:
|
|
# prepare data
|
|
- cropped_face_t = img2tensor(cropped_face / 255., bgr2rgb=True, float32=True)
|
|
+ cropped_face_t = img2tensor(cropped_face / 255., bgr2rgb=False, float32=True)
|
|
normalize(cropped_face_t, (0.5, 0.5, 0.5), (0.5, 0.5, 0.5), inplace=True)
|
|
cropped_face_t = cropped_face_t.unsqueeze(0).to(self.device)
|
|
|
|
try:
|
|
- output = self.gfpgan(cropped_face_t, return_rgb=False, weight=weight)[0]
|
|
+ output = self.gfpgan(cropped_face_t, return_rgb=True, weight=weight)[0]
|
|
# convert to image
|
|
- restored_face = tensor2img(output.squeeze(0), rgb2bgr=True, min_max=(-1, 1))
|
|
+ restored_face = tensor2img(output.squeeze(0), rgb2bgr=False, min_max=(-1, 1))
|
|
except RuntimeError as error:
|
|
print(f'\tFailed inference for GFPGAN: {error}.')
|
|
restored_face = cropped_face
|