mrq/stable-diffusion-webui
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Reformat some changes from the previous commit.

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AUTOMATIC 2022-09-24 08:23:01 +03:00
parent ed8b8b3b8c
commit 31ac0baba0
2 changed files with 9 additions and 12 deletions
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2
modules/processing.py
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@ -338,7 +338,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
comments[comment] = 1
if p.n_iter > 1:
shared.state.job = f"Image {n+1} out of {p.n_iter}; Batch {(shared.state.job_no // p.n_iter) + 1} of {shared.state.job_count // p.n_iter}"
shared.state.job = f"Batch {n+1} out of {p.n_iter}"
samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength)
if state.interrupted:

13
scripts/xy_grid.py
View File

@ -102,7 +102,7 @@ def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend):
for iy, y in enumerate(ys):
for ix, x in enumerate(xs):
state.job = f"Image {ix + iy * len(xs) + 1} out of {state.job_count}"
state.job = f"{ix + iy * len(xs) + 1} out of {len(xs) * len(ys)}"
processed = cell(x, y)
if first_pocessed is None:
@ -141,11 +141,11 @@ class Script(scripts.Script):
y_values = gr.Textbox(label="Y values", visible=False, lines=1)
draw_legend = gr.Checkbox(label='Draw legend', value=True)
fixed_seeds = gr.Checkbox(label='Resolve random seeds before plotting (only applies when plotting "-1" seed values for X or Y axis)', value=False)
no_fixed_seeds = gr.Checkbox(label='Keep -1 for seeds', value=False)
return [x_type, x_values, y_type, y_values, draw_legend, fixed_seeds]
return [x_type, x_values, y_type, y_values, draw_legend, no_fixed_seeds]
def run(self, p, x_type, x_values, y_type, y_values, draw_legend, fixed_seeds):
def run(self, p, x_type, x_values, y_type, y_values, draw_legend, no_fixed_seeds):
modules.processing.fix_seed(p)
p.batch_size = 1
@ -214,7 +214,7 @@ class Script(scripts.Script):
else:
return axis_list
if fixed_seeds == True:
if not no_fixed_seeds:
xs = fix_axis_seeds(x_opt, xs)
ys = fix_axis_seeds(y_opt, ys)
@ -225,9 +225,6 @@ class Script(scripts.Script):
else:
total_steps = p.steps * len(xs) * len(ys)
if p.n_iter > 1:
print(f"Number of seeds/images per prompt is {p.n_iter}.")
print(f"X/Y plot will create {len(xs) * len(ys) * p.n_iter} images on a {len(xs)}x{len(ys)} grid. (Total steps to process: {total_steps * p.n_iter})")
shared.total_tqdm.updateTotal(total_steps * p.n_iter)