StableDiffusion/WebUI
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Cleanup changes made by formatter

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This commit is contained in:
Yevhenii Hurin 2023-01-29 17:14:46 +02:00
parent 5997457fd4
commit 1e2b10d2dc
1 changed files with 8 additions and 17 deletions
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25
scripts/prompt_matrix.py
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@ -10,7 +10,6 @@ from modules import images
from modules.processing import process_images, Processed
from modules.shared import opts, cmd_opts, state
import modules.sd_samplers
from pprint import pprint
def draw_xy_grid(xs, ys, x_label, y_label, cell):
@ -34,8 +33,7 @@ def draw_xy_grid(xs, ys, x_label, y_label, cell):
res.append(processed.images[0])
grid = images.image_grid(res, rows=len(ys))
grid = images.draw_grid_annotations(
grid, res[0].width, res[0].height, hor_texts, ver_texts)
grid = images.draw_grid_annotations(grid, res[0].width, res[0].height, hor_texts, ver_texts)
first_processed.images = [grid]
@ -73,8 +71,7 @@ class Script(scripts.Script):
raise ValueError(f"Unknown prompt type {prompt_type}")
# Raise error if variations delimiter is not comma or space
if variations_delimiter not in ["comma", "space"]:
raise ValueError(
f"Unknown variations delimiter {variations_delimiter}")
raise ValueError(f"Unknown variations delimiter {variations_delimiter}")
prompt = p.prompt if prompt_type == "positive" else p.negative_prompt
original_prompt = prompt[0] if type(prompt) == list else prompt
@ -86,8 +83,7 @@ class Script(scripts.Script):
prompt_matrix_parts = original_prompt.split("|")
combination_count = 2 ** (len(prompt_matrix_parts) - 1)
for combination_num in range(combination_count):
selected_prompts = [text.strip().strip(',') for n, text in enumerate(
prompt_matrix_parts[1:]) if combination_num & (1 << n)]
selected_prompts = [text.strip().strip(',') for n, text in enumerate(prompt_matrix_parts[1:]) if combination_num & (1 << n)]
if put_at_start:
selected_prompts = selected_prompts + [prompt_matrix_parts[0]]
@ -99,28 +95,23 @@ class Script(scripts.Script):
p.n_iter = math.ceil(len(all_prompts) / p.batch_size)
p.do_not_save_grid = True
print(
f"Prompt matrix will create {len(all_prompts)} images using a total of {p.n_iter} batches.")
print(f"Prompt matrix will create {len(all_prompts)} images using a total of {p.n_iter} batches.")
if prompt_type == "positive":
p.prompt = all_prompts
else:
p.negative_prompt = all_prompts
p.seed = [p.seed + (i if different_seeds else 0)
for i in range(len(all_prompts))]
p.seed = [p.seed + (i if different_seeds else 0) for i in range(len(all_prompts))]
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.draw_prompt_matrix(
grid, p.width, p.height, prompt_matrix_parts)
grid = images.image_grid(processed.images, p.batch_size, rows=1 << ((len(prompt_matrix_parts) - 1) // 2))
grid = images.draw_prompt_matrix(grid, p.width, p.height, prompt_matrix_parts)
processed.images.insert(0, grid)
processed.index_of_first_image = 1
processed.infotexts.insert(0, processed.infotexts[0])
if opts.grid_save:
images.save_image(processed.images[0], p.outpath_grids, "prompt_matrix",
extension=opts.grid_format, prompt=original_prompt, seed=processed.seed, grid=True, p=p)
images.save_image(processed.images[0], p.outpath_grids, "prompt_matrix", extension=opts.grid_format, prompt=original_prompt, seed=processed.seed, grid=True, p=p)
return processed