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authorAUTOMATIC1111 <16777216c@gmail.com>2023-05-11 21:25:15 +0300
committerGitHub <noreply@github.com>2023-05-11 21:25:15 +0300
commitabe32cefa39dee36d7f661d4e63c28ea8dd60c4f (patch)
tree1f1d817b59b49c6d3944c959151ce4c67d9041da /scripts
parentb4aaa339d529c81859858f0bedcc72b44fccd3d0 (diff)
parent49a55b410b66b7dd9be9335d8a2e3a71e4f8b15c (diff)
Merge pull request #10285 from akx/ruff-spacing
Indentation + ruff whitespace fixes
Diffstat (limited to 'scripts')
-rw-r--r--scripts/img2imgalt.py14
-rw-r--r--scripts/loopback.py8
-rw-r--r--scripts/poor_mans_outpainting.py2
-rw-r--r--scripts/prompt_matrix.py2
-rw-r--r--scripts/prompts_from_file.py4
-rw-r--r--scripts/sd_upscale.py2
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"))