Merge branch 'dev' into improve-frontend-responsiveness

1 files changed, 5 insertions, 5 deletions

diff --git a/scripts/loopback.py b/scripts/loopback.py
index d3065fe6..2d5feaf9 100644
--- a/scripts/loopback.py
+++ b/scripts/loopback.py
@@ -14,7 +14,7 @@ class Script(scripts.Script):
     def show(self, is_img2img):

         return is_img2img

 

-    def ui(self, is_img2img):        

+    def ui(self, is_img2img):

         loops = gr.Slider(minimum=1, maximum=32, step=1, label='Loops', value=4, elem_id=self.elem_id("loops"))

         final_denoising_strength = gr.Slider(minimum=0, maximum=1, step=0.01, label='Final denoising strength', value=0.5, elem_id=self.elem_id("final_denoising_strength"))

         denoising_curve = gr.Dropdown(label="Denoising strength curve", choices=["Aggressive", "Linear", "Lazy"], value="Linear")

@@ -84,7 +84,7 @@ class Script(scripts.Script):
                     p.color_corrections = initial_color_corrections

 

                 if append_interrogation != "None":

-                    p.prompt = original_prompt + ", " if original_prompt != "" else ""

+                    p.prompt = f"{original_prompt}, " if original_prompt else ""

                     if append_interrogation == "CLIP":

                         p.prompt += shared.interrogator.interrogate(p.init_images[0])

                     elif append_interrogation == "DeepBooru":

@@ -104,7 +104,7 @@ class Script(scripts.Script):
 

                 p.seed = processed.seed + 1

                 p.denoising_strength = calculate_denoising_strength(i + 1)

-                

+

                 if state.skipped:

                     break

 

@@ -121,7 +121,7 @@ class Script(scripts.Script):
                 all_images.append(last_image)

 

             p.inpainting_fill = original_inpainting_fill

-                

+

             if state.interrupted:

                     break

 

@@ -132,7 +132,7 @@ class Script(scripts.Script):
 

             if opts.return_grid:

                 grids.append(grid)

-                

+

         all_images = grids + all_images

 

         processed = Processed(p, all_images, initial_seed, initial_info)