runtime

app.py

@@ -35,9 +35,9 @@ Click the task button in the right bottom to acquire **examples** of various tas
 The runtime on the Zero GPU runtime depends on the size of the image grid. 
 When generating an image with the resoluation of 1024, 
 the runtime is approximately **[45s for a 2x2 grid], [55s for a 2x3 grid], [70s for a 3x3 grid], [90s for a 3x4 grid]**. 
-When generating three images in a 3x4 grid, i.e., Image to Depth + Normal + Hed, 
-the runtime is approximately **110s**. 
-**Deploying locally with an 80G A100 can reduce the runtime by more than half.**
+**Deploying locally with an 80G A100 can reduce the runtime by more than half.** 
+Disabling SDEdit upsampling by setting the upsampling noise to 1 or reducing the upsampling steps 
+can also save computation time, but it may lead to a decrease in generation quality. 
 
 ### Note: For better quality, you can deploy the demo locally using the [model](https://huggingface.co/VisualCloze/VisualCloze/blob/main/visualcloze-512-lora.pth), which supports a higher resolution than this online demo, by following the instructions in the [GitHub repository](https://github.com/lzyhha/VisualCloze/tree/main?tab=readme-ov-file#2-web-demo-gradio).
 """

visualcloze.py

@@ -450,7 +450,6 @@ class VisualClozeModel:
             row_end = grid_h * grid_w
             for i in range(row_start, row_end):
                 # when the image is masked, then output it
-                print(mask_position, i, row_start, is_upsampling, grid_h, grid_w)
                 if mask_position[i - row_start] and is_upsampling:
                     cropped = output_images[-1].crop(((i - row_start) * ret_w // self.grid_w, 0, ((i - row_start) + 1) * ret_w // self.grid_w, ret_h))
                     upsampled = self.upsampling(