Autofix Ruff W (not W605) (mostly whitespace)

6 files changed, 16 insertions, 16 deletions

diff --git a/scripts/img2imgalt.py b/scripts/img2imgalt.py
index bb00fb3f..1e833fa8 100644
--- a/scripts/img2imgalt.py
+++ b/scripts/img2imgalt.py
@@ -149,9 +149,9 @@ class Script(scripts.Script):
         sigma_adjustment = gr.Checkbox(label="Sigma adjustment for finding noise for image", value=False, elem_id=self.elem_id("sigma_adjustment"))

 

         return [

-            info, 

+            info,

             override_sampler,

-            override_prompt, original_prompt, original_negative_prompt, 

+            override_prompt, original_prompt, original_negative_prompt,

             override_steps, st,

             override_strength,

             cfg, randomness, sigma_adjustment,

@@ -191,17 +191,17 @@ class Script(scripts.Script):
                 self.cache = Cached(rec_noise, cfg, st, lat, original_prompt, original_negative_prompt, sigma_adjustment)

 

             rand_noise = processing.create_random_tensors(p.init_latent.shape[1:], seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, seed_resize_from_h=p.seed_resize_from_h, seed_resize_from_w=p.seed_resize_from_w, p=p)

-            

+

             combined_noise = ((1 - randomness) * rec_noise + randomness * rand_noise) / ((randomness**2 + (1-randomness)**2) ** 0.5)

-            

+

             sampler = sd_samplers.create_sampler(p.sampler_name, p.sd_model)

 

             sigmas = sampler.model_wrap.get_sigmas(p.steps)

-            

+

             noise_dt = combined_noise - (p.init_latent / sigmas[0])

-            

+

             p.seed = p.seed + 1

-            

+

             return sampler.sample_img2img(p, p.init_latent, noise_dt, conditioning, unconditional_conditioning, image_conditioning=p.image_conditioning)

 

         p.sample = sample_extra

diff --git a/scripts/loopback.py b/scripts/loopback.py
index ad6609be..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")

@@ -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)

diff --git a/scripts/poor_mans_outpainting.py b/scripts/poor_mans_outpainting.py
index c0bbecc1..ea0632b6 100644
--- a/scripts/poor_mans_outpainting.py
+++ b/scripts/poor_mans_outpainting.py
@@ -19,7 +19,7 @@ class Script(scripts.Script):
     def ui(self, is_img2img):

         if not is_img2img:

             return None

-        

+

         pixels = gr.Slider(label="Pixels to expand", minimum=8, maximum=256, step=8, value=128, elem_id=self.elem_id("pixels"))

         mask_blur = gr.Slider(label='Mask blur', minimum=0, maximum=64, step=1, value=4, elem_id=self.elem_id("mask_blur"))

         inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='fill', type="index", elem_id=self.elem_id("inpainting_fill"))

diff --git a/scripts/prompt_matrix.py b/scripts/prompt_matrix.py
index fb06beab..88324fe6 100644
--- a/scripts/prompt_matrix.py
+++ b/scripts/prompt_matrix.py
@@ -96,7 +96,7 @@ class Script(scripts.Script):
         p.prompt_for_display = positive_prompt

         processed = process_images(p)

 

-        grid = images.image_grid(processed.images, p.batch_size, rows=1 << ((len(prompt_matrix_parts) - 1) // 2)) 

+        grid = images.image_grid(processed.images, p.batch_size, rows=1 << ((len(prompt_matrix_parts) - 1) // 2))

         grid = images.draw_prompt_matrix(grid, processed.images[0].width, processed.images[0].height, prompt_matrix_parts, margin_size)

         processed.images.insert(0, grid)

         processed.index_of_first_image = 1

diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py
index 9607077a..2378816f 100644
--- a/scripts/prompts_from_file.py
+++ b/scripts/prompts_from_file.py
@@ -109,7 +109,7 @@ class Script(scripts.Script):
     def title(self):

         return "Prompts from file or textbox"

 

-    def ui(self, is_img2img):       

+    def ui(self, is_img2img):

         checkbox_iterate = gr.Checkbox(label="Iterate seed every line", value=False, elem_id=self.elem_id("checkbox_iterate"))

         checkbox_iterate_batch = gr.Checkbox(label="Use same random seed for all lines", value=False, elem_id=self.elem_id("checkbox_iterate_batch"))

 

@@ -166,7 +166,7 @@ class Script(scripts.Script):
 

             proc = process_images(copy_p)

             images += proc.images

-            

+

             if checkbox_iterate:

                 p.seed = p.seed + (p.batch_size * p.n_iter)

             all_prompts += proc.all_prompts

diff --git a/scripts/sd_upscale.py b/scripts/sd_upscale.py
index 0b1d3096..e614c23b 100644
--- a/scripts/sd_upscale.py
+++ b/scripts/sd_upscale.py
@@ -16,7 +16,7 @@ class Script(scripts.Script):
     def show(self, is_img2img):

         return is_img2img

 

-    def ui(self, is_img2img):        

+    def ui(self, is_img2img):

         info = gr.HTML("<p style=\"margin-bottom:0.75em\">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>")

         overlap = gr.Slider(minimum=0, maximum=256, step=16, label='Tile overlap', value=64, elem_id=self.elem_id("overlap"))

         scale_factor = gr.Slider(minimum=1.0, maximum=4.0, step=0.05, label='Scale Factor', value=2.0, elem_id=self.elem_id("scale_factor"))