Update app.py

app.py

@@ -666,7 +666,8 @@ def generate(prompt, negative_prompt, clips_list, input_image_filepath, input_vi
         print("Using image file as input.")
         media_tensor = load_image_to_tensor_with_resize_and_crop(input_image_filepath, actual_height, actual_width)
         call_kwargs["conditioning_items"] = [ConditioningItem(torch.nn.functional.pad(media_tensor, padding_values).to(target_inference_device), 0, 1.0)]
-    
+        call_kwargs["image_cond_noise_scale"] = 0.05 # A small value like 0.02 to 0.1 is usually good
+
     elif mode == "video-to-video": 
         print("Using video file as input.")
         call_kwargs["media_items"] = load_media_file(media_path=input_video_filepath, height=actual_height, width=actual_width, max_frames=int(ui_frames_to_use), padding=padding_values).to(target_inference_device)