Convert six assignment statements to augmented source code

[elfring]

:eyes: Some source code analysis tools can help to find opportunities for improving software components. :thought_balloon: I propose to increase the usage of augmented assignment statements accordingly.

diff --git a/AUTOMATIC1111_files/deforum/depth.py b/AUTOMATIC1111_files/deforum/depth.py
index 6c8cb6d..b46a9fb 100644
--- a/AUTOMATIC1111_files/deforum/depth.py
+++ b/AUTOMATIC1111_files/deforum/depth.py
@@ -128,7 +128,7 @@ class DepthModel():
 
             # MiDaS makes the near values greater, and the far values lesser. Let's reverse that and try to align with AdaBins a bit better.
             midas_depth = np.subtract(50.0, midas_depth)
-            midas_depth = midas_depth / 19.0
+            midas_depth /= 19.0
 
             # blend between MiDaS and AdaBins predictions
             if use_adabins:
diff --git a/Relaxed-mode/Relaxed.py b/Relaxed-mode/Relaxed.py
index 72ded4c..266b6f5 100644
--- a/Relaxed-mode/Relaxed.py
+++ b/Relaxed-mode/Relaxed.py
@@ -406,7 +406,7 @@ def seed_to_int(s):
         return random.randint(0, 2**32 - 1)
     n = abs(int(s) if s.isdigit() else random.Random(s).randint(0, 2**32 - 1))
     while n >= 2**32:
-        n = n >> 32
+        n >>= 32
         alphas=n
     return n
 	
@@ -867,7 +867,7 @@ skip_grid, sort_samples, sampler_name, ddim_eta, n_iter, batch_size, i, denoisin
                     output, img_mode = RealESRGAN.enhance(x_sample[:,:,::-1])
                     x_sample = output[:,:,::-1]
                     image = Image.fromarray(x_sample)
-                    filename = filename + '-esrgan'
+                    filename += '-esrgan'
                     save_sample(image, sample_path_i, filename, jpg_sample, prompts, seeds, width, height, steps, cfg_scale, 
 normalize_prompt_weights, use_GFPGAN, write_info_files, prompt_matrix, init_img, uses_loopback, uses_random_seed_loopback, skip_save,
 skip_grid, sort_samples, sampler_name, ddim_eta, n_iter, batch_size, i, denoising_strength, resize_mode)
@@ -1147,7 +1147,7 @@ def img2img(prompt: str, image_editor_mode: str, init_info, mask_mode: str, mask
         t_enc_steps = t_enc
         obliterate = False
         if ddim_steps == t_enc_steps:
-            t_enc_steps = t_enc_steps - 1
+            t_enc_steps -= 1
             obliterate = True    
 
         if sampler_name != 'DDIM':
@@ -1233,7 +1233,7 @@ def img2img(prompt: str, image_editor_mode: str, init_info, mask_mode: str, mask
 
                 init_img = output_images[0]
                 if not random_seed_loopback:
-                    seed = seed + 1
+                    seed += 1
                 else:
                     seed = seed_to_int(None)
                 denoising_strength = max(denoising_strength * 0.95, 0.1)
diff --git a/precompiled/attention.py b/precompiled/attention.py
index eab3563..29e76e4 100644
--- a/precompiled/attention.py
+++ b/precompiled/attention.py
@@ -143,7 +143,7 @@ class SpatialSelfAttention(nn.Module):
         k = rearrange(k, 'b c h w -> b c (h w)')
         w_ = torch.einsum('bij,bjk->bik', q, k)
 
-        w_ = w_ * (int(c)**(-0.5))
+        w_ *= (int(c)**(-0.5))
         w_ = torch.nn.functional.softmax(w_, dim=2)
 
         # attend to values

[TheLastBen]

modifying the repo files will prevent git pull from functioning and a hard reset might remove some user settings

[elfring]

:thought_balloon: Do you suggest to improve the affected source code in any other development repository?

[TheLastBen]

💭 Do you suggest to improve the affected source code in any other development repository?

https://github.com/AUTOMATIC1111/stable-diffusion-webui/