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-rw-r--r--scripts/custom_code.py4
-rw-r--r--scripts/img2imgalt.py14
-rw-r--r--scripts/loopback.py10
-rw-r--r--scripts/outpainting_mk_2.py6
-rw-r--r--scripts/poor_mans_outpainting.py6
-rw-r--r--scripts/postprocessing_upscale.py6
-rw-r--r--scripts/prompt_matrix.py9
-rw-r--r--scripts/prompts_from_file.py20
-rw-r--r--scripts/sd_upscale.py10
-rw-r--r--scripts/xyz_grid.py22
10 files changed, 49 insertions, 58 deletions
diff --git a/scripts/custom_code.py b/scripts/custom_code.py
index 4071d86d..cc6f0d49 100644
--- a/scripts/custom_code.py
+++ b/scripts/custom_code.py
@@ -4,7 +4,7 @@ import ast
import copy
from modules.processing import Processed
-from modules.shared import opts, cmd_opts, state
+from modules.shared import cmd_opts
def convertExpr2Expression(expr):
@@ -77,7 +77,7 @@ return process_images(p)
module.display = display
indent = " " * indent_level
- indented = code.replace('\n', '\n' + indent)
+ indented = code.replace('\n', f"\n{indent}")
body = f"""def __webuitemp__():
{indent}{indented}
__webuitemp__()"""
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 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)
diff --git a/scripts/outpainting_mk_2.py b/scripts/outpainting_mk_2.py
index 670bb8ac..665dbe89 100644
--- a/scripts/outpainting_mk_2.py
+++ b/scripts/outpainting_mk_2.py
@@ -7,9 +7,9 @@ import modules.scripts as scripts
import gradio as gr
from PIL import Image, ImageDraw
-from modules import images, processing, devices
+from modules import images
from modules.processing import Processed, process_images
-from modules.shared import opts, cmd_opts, state
+from modules.shared import opts, state
# this function is taken from https://github.com/parlance-zz/g-diffuser-bot
@@ -72,7 +72,7 @@ def get_matched_noise(_np_src_image, np_mask_rgb, noise_q=1, color_variation=0.0
height = _np_src_image.shape[1]
num_channels = _np_src_image.shape[2]
- np_src_image = _np_src_image[:] * (1. - np_mask_rgb)
+ _np_src_image[:] * (1. - np_mask_rgb)
np_mask_grey = (np.sum(np_mask_rgb, axis=2) / 3.)
img_mask = np_mask_grey > 1e-6
ref_mask = np_mask_grey < 1e-3
diff --git a/scripts/poor_mans_outpainting.py b/scripts/poor_mans_outpainting.py
index ddcbd2d3..ea0632b6 100644
--- a/scripts/poor_mans_outpainting.py
+++ b/scripts/poor_mans_outpainting.py
@@ -4,9 +4,9 @@ import modules.scripts as scripts
import gradio as gr
from PIL import Image, ImageDraw
-from modules import images, processing, devices
+from modules import images, devices
from modules.processing import Processed, process_images
-from modules.shared import opts, cmd_opts, state
+from modules.shared import opts, state
class Script(scripts.Script):
@@ -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/postprocessing_upscale.py b/scripts/postprocessing_upscale.py
index ef1186ac..edb70ac0 100644
--- a/scripts/postprocessing_upscale.py
+++ b/scripts/postprocessing_upscale.py
@@ -98,13 +98,13 @@ class ScriptPostprocessingUpscale(scripts_postprocessing.ScriptPostprocessing):
assert upscaler2 or (upscaler_2_name is None), f'could not find upscaler named {upscaler_2_name}'
upscaled_image = self.upscale(pp.image, pp.info, upscaler1, upscale_mode, upscale_by, upscale_to_width, upscale_to_height, upscale_crop)
- pp.info[f"Postprocess upscaler"] = upscaler1.name
+ pp.info["Postprocess upscaler"] = upscaler1.name
if upscaler2 and upscaler_2_visibility > 0:
second_upscale = self.upscale(pp.image, pp.info, upscaler2, upscale_mode, upscale_by, upscale_to_width, upscale_to_height, upscale_crop)
upscaled_image = Image.blend(upscaled_image, second_upscale, upscaler_2_visibility)
- pp.info[f"Postprocess upscaler 2"] = upscaler2.name
+ pp.info["Postprocess upscaler 2"] = upscaler2.name
pp.image = upscaled_image
@@ -134,4 +134,4 @@ class ScriptPostprocessingUpscaleSimple(ScriptPostprocessingUpscale):
assert upscaler1, f'could not find upscaler named {upscaler_name}'
pp.image = self.upscale(pp.image, pp.info, upscaler1, 0, upscale_by, 0, 0, False)
- pp.info[f"Postprocess upscaler"] = upscaler1.name
+ pp.info["Postprocess upscaler"] = upscaler1.name
diff --git a/scripts/prompt_matrix.py b/scripts/prompt_matrix.py
index e9b11517..88324fe6 100644
--- a/scripts/prompt_matrix.py
+++ b/scripts/prompt_matrix.py
@@ -1,14 +1,11 @@
import math
-from collections import namedtuple
-from copy import copy
-import random
import modules.scripts as scripts
import gradio as gr
from modules import images
-from modules.processing import process_images, Processed
-from modules.shared import opts, cmd_opts, state
+from modules.processing import process_images
+from modules.shared import opts, state
import modules.sd_samplers
@@ -99,7 +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 76dc5778..b918a764 100644
--- a/scripts/prompts_from_file.py
+++ b/scripts/prompts_from_file.py
@@ -1,6 +1,4 @@
import copy
-import math
-import os
import random
import sys
import traceback
@@ -11,8 +9,7 @@ import gradio as gr
from modules import sd_samplers
from modules.processing import Processed, process_images
-from PIL import Image
-from modules.shared import opts, cmd_opts, state
+from modules.shared import state
def process_string_tag(tag):
@@ -100,30 +97,29 @@ def cmdargs(line):
def load_prompt_file(file):
if file is None:
- lines = []
+ return None, gr.update(), gr.update(lines=7)
else:
lines = [x.strip() for x in file.decode('utf8', errors='ignore').split("\n")]
-
- return None, "\n".join(lines), gr.update(lines=7)
+ return None, "\n".join(lines), gr.update(lines=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"))
prompt_txt = gr.Textbox(label="List of prompt inputs", lines=1, elem_id=self.elem_id("prompt_txt"))
file = gr.File(label="Upload prompt inputs", type='binary', elem_id=self.elem_id("file"))
- file.change(fn=load_prompt_file, inputs=[file], outputs=[file, prompt_txt, prompt_txt])
+ file.change(fn=load_prompt_file, inputs=[file], outputs=[file, prompt_txt, prompt_txt], show_progress=False)
# We start at one line. When the text changes, we jump to seven lines, or two lines if no \n.
# We don't shrink back to 1, because that causes the control to ignore [enter], and it may
# be unclear to the user that shift-enter is needed.
- prompt_txt.change(lambda tb: gr.update(lines=7) if ("\n" in tb) else gr.update(lines=2), inputs=[prompt_txt], outputs=[prompt_txt])
+ prompt_txt.change(lambda tb: gr.update(lines=7) if ("\n" in tb) else gr.update(lines=2), inputs=[prompt_txt], outputs=[prompt_txt], show_progress=False)
return [checkbox_iterate, checkbox_iterate_batch, prompt_txt]
def run(self, p, checkbox_iterate, checkbox_iterate_batch, prompt_txt: str):
@@ -159,7 +155,7 @@ class Script(scripts.Script):
images = []
all_prompts = []
infotexts = []
- for n, args in enumerate(jobs):
+ for args in jobs:
state.job = f"{state.job_no + 1} out of {state.job_count}"
copy_p = copy.copy(p)
@@ -168,7 +164,7 @@ 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 332d76d9..e614c23b 100644
--- a/scripts/sd_upscale.py
+++ b/scripts/sd_upscale.py
@@ -4,9 +4,9 @@ import modules.scripts as scripts
import gradio as gr
from PIL import Image
-from modules import processing, shared, sd_samplers, images, devices
+from modules import processing, shared, images, devices
from modules.processing import Processed
-from modules.shared import opts, cmd_opts, state
+from modules.shared import opts, state
class Script(scripts.Script):
@@ -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"))
@@ -56,7 +56,7 @@ class Script(scripts.Script):
work = []
- for y, h, row in grid.tiles:
+ for _y, _h, row in grid.tiles:
for tiledata in row:
work.append(tiledata[2])
@@ -85,7 +85,7 @@ class Script(scripts.Script):
work_results += processed.images
image_index = 0
- for y, h, row in grid.tiles:
+ for _y, _h, row in grid.tiles:
for tiledata in row:
tiledata[2] = work_results[image_index] if image_index < len(work_results) else Image.new("RGB", (p.width, p.height))
image_index += 1
diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py
index cfc7737b..38a20381 100644
--- a/scripts/xyz_grid.py
+++ b/scripts/xyz_grid.py
@@ -10,15 +10,13 @@ import numpy as np
import modules.scripts as scripts
import gradio as gr
-from modules import images, paths, sd_samplers, processing, sd_models, sd_vae
+from modules import images, sd_samplers, processing, sd_models, sd_vae
from modules.processing import process_images, Processed, StableDiffusionProcessingTxt2Img
-from modules.shared import opts, cmd_opts, state
+from modules.shared import opts, state
import modules.shared as shared
import modules.sd_samplers
import modules.sd_models
import modules.sd_vae
-import glob
-import os
import re
from modules.ui_components import ToolButton
@@ -222,7 +220,7 @@ axis_options = [
AxisOption("Denoising", float, apply_field("denoising_strength")),
AxisOptionTxt2Img("Hires upscaler", str, apply_field("hr_upscaler"), choices=lambda: [*shared.latent_upscale_modes, *[x.name for x in shared.sd_upscalers]]),
AxisOptionImg2Img("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight")),
- AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: list(sd_vae.vae_dict)),
+ AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: ['None'] + list(sd_vae.vae_dict)),
AxisOption("Styles", str, apply_styles, choices=lambda: list(shared.prompt_styles.styles)),
AxisOption("UniPC Order", int, apply_uni_pc_order, cost=0.5),
AxisOption("Face restore", str, apply_face_restore, format_value=format_value),
@@ -316,7 +314,7 @@ def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend
return Processed(p, [])
z_count = len(zs)
- sub_grids = [None] * z_count
+
for i in range(z_count):
start_index = (i * len(xs) * len(ys)) + i
end_index = start_index + len(xs) * len(ys)
@@ -346,7 +344,7 @@ class SharedSettingsStackHelper(object):
self.CLIP_stop_at_last_layers = opts.CLIP_stop_at_last_layers
self.vae = opts.sd_vae
self.uni_pc_order = opts.uni_pc_order
-
+
def __exit__(self, exc_type, exc_value, tb):
opts.data["sd_vae"] = self.vae
opts.data["uni_pc_order"] = self.uni_pc_order
@@ -399,7 +397,7 @@ class Script(scripts.Script):
include_sub_grids = gr.Checkbox(label='Include Sub Grids', value=False, elem_id=self.elem_id("include_sub_grids"))
with gr.Column():
margin_size = gr.Slider(label="Grid margins (px)", minimum=0, maximum=500, value=0, step=2, elem_id=self.elem_id("margin_size"))
-
+
with gr.Row(variant="compact", elem_id="swap_axes"):
swap_xy_axes_button = gr.Button(value="Swap X/Y axes", elem_id="xy_grid_swap_axes_button")
swap_yz_axes_button = gr.Button(value="Swap Y/Z axes", elem_id="yz_grid_swap_axes_button")
@@ -439,7 +437,7 @@ class Script(scripts.Script):
z_type.change(fn=select_axis, inputs=[z_type,z_values_dropdown], outputs=[fill_z_button,z_values,z_values_dropdown])
def get_dropdown_update_from_params(axis,params):
- val_key = axis + " Values"
+ val_key = f"{axis} Values"
vals = params.get(val_key,"")
valslist = [x.strip() for x in chain.from_iterable(csv.reader(StringIO(vals))) if x]
return gr.update(value = valslist)
@@ -490,7 +488,7 @@ class Script(scripts.Script):
start = int(mc.group(1))
end = int(mc.group(2))
num = int(mc.group(3)) if mc.group(3) is not None else 1
-
+
valslist_ext += [int(x) for x in np.linspace(start=start, stop=end, num=num).tolist()]
else:
valslist_ext.append(val)
@@ -512,7 +510,7 @@ class Script(scripts.Script):
start = float(mc.group(1))
end = float(mc.group(2))
num = int(mc.group(3)) if mc.group(3) is not None else 1
-
+
valslist_ext += np.linspace(start=start, stop=end, num=num).tolist()
else:
valslist_ext.append(val)
@@ -706,7 +704,7 @@ class Script(scripts.Script):
if not include_sub_grids:
# Done with sub-grids, drop all related information:
- for sg in range(z_count):
+ for _ in range(z_count):
del processed.images[1]
del processed.all_prompts[1]
del processed.all_seeds[1]
generated by cgit v1.2.3 (git 2.25.1) at 2025-05-01 11:40:53 +0000