Spaces:
Running
on
Zero
Running
on
Zero
Update gradio_app.py
Browse files- gradio_app.py +3 -3
gradio_app.py
CHANGED
|
@@ -83,7 +83,7 @@ def infer(frame1_path, frame2_path):
|
|
| 83 |
num_inference_steps = 25
|
| 84 |
noise_injection_steps = 0
|
| 85 |
noise_injection_ratio = 0.5
|
| 86 |
-
weighted_average =
|
| 87 |
|
| 88 |
generator = torch.Generator(device)
|
| 89 |
if seed is not None:
|
|
@@ -91,10 +91,10 @@ def infer(frame1_path, frame2_path):
|
|
| 91 |
|
| 92 |
|
| 93 |
frame1 = load_image(frame1_path)
|
| 94 |
-
frame1 = frame1.resize((
|
| 95 |
|
| 96 |
frame2 = load_image(frame2_path)
|
| 97 |
-
frame2 = frame2.resize((
|
| 98 |
|
| 99 |
frames = pipe(image1=frame1, image2=frame2,
|
| 100 |
num_inference_steps=num_inference_steps, # 50
|
|
|
|
| 83 |
num_inference_steps = 25
|
| 84 |
noise_injection_steps = 0
|
| 85 |
noise_injection_ratio = 0.5
|
| 86 |
+
weighted_average = False
|
| 87 |
|
| 88 |
generator = torch.Generator(device)
|
| 89 |
if seed is not None:
|
|
|
|
| 91 |
|
| 92 |
|
| 93 |
frame1 = load_image(frame1_path)
|
| 94 |
+
frame1 = frame1.resize((512, 288))
|
| 95 |
|
| 96 |
frame2 = load_image(frame2_path)
|
| 97 |
+
frame2 = frame2.resize((512, 288))
|
| 98 |
|
| 99 |
frames = pipe(image1=frame1, image2=frame2,
|
| 100 |
num_inference_steps=num_inference_steps, # 50
|