mrq/stable-diffusion-webui
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set loopback color corrections on each iteration

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This commit is contained in:
Brian Drupieski 2022-09-17 18:18:30 -04:00
parent 663af7c1c8
commit 7bc5739fe2
3 changed files with 5 additions and 6 deletions
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2
modules/processing.py
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@ -339,6 +339,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
state.nextjob() state.nextjob()
p.color_corrections = None
unwanted_grid_because_of_img_count = len(output_images) < 2 and opts.grid_only_if_multiple unwanted_grid_because_of_img_count = len(output_images) < 2 and opts.grid_only_if_multiple
if (opts.return_grid or opts.grid_save) and not p.do_not_save_grid and not unwanted_grid_because_of_img_count: if (opts.return_grid or opts.grid_save) and not p.do_not_save_grid and not unwanted_grid_because_of_img_count:
grid = images.image_grid(output_images, p.batch_size) grid = images.image_grid(output_images, p.batch_size)

5
scripts/batch.py
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@ -6,7 +6,7 @@ import traceback
import modules.scripts as scripts import modules.scripts as scripts
import gradio as gr import gradio as gr
from modules.processing import Processed, process_images, setup_color_correction from modules.processing import Processed, process_images
from PIL import Image from PIL import Image
from modules.shared import opts, cmd_opts, state from modules.shared import opts, cmd_opts, state
@ -52,9 +52,6 @@ class Script(scripts.Script):
state.job = f"{batch_no} out of {batch_count}: {batch_images[0][1]}" state.job = f"{batch_no} out of {batch_count}: {batch_images[0][1]}"
p.init_images = [x[0] for x in batch_images] p.init_images = [x[0] for x in batch_images]
if opts.img2img_color_correction:
p.color_corrections = [setup_color_correction(i) for i in p.init_images]
proc = process_images(p) proc = process_images(p)
for image, (_, path) in zip(proc.images, batch_images): for image, (_, path) in zip(proc.images, batch_images):
filename = os.path.basename(path) filename = os.path.basename(path)

4
scripts/loopback.py
View File

@ -40,8 +40,7 @@ class Script(scripts.Script):
all_images = [] all_images = []
state.job_count = loops * batch_count state.job_count = loops * batch_count
if opts.img2img_color_correction: initial_color_corrections = [processing.setup_color_correction(p.init_images[0])]
p.color_corrections = [processing.setup_color_correction(p.init_images[0])]
for n in range(batch_count): for n in range(batch_count):
history = [] history = []
@ -50,6 +49,7 @@ class Script(scripts.Script):
p.n_iter = 1 p.n_iter = 1
p.batch_size = 1 p.batch_size = 1
p.do_not_save_grid = True p.do_not_save_grid = True
p.color_corrections = initial_color_corrections
state.job = f"Iteration {i + 1}/{loops}, batch {n + 1}/{batch_count}" state.job = f"Iteration {i + 1}/{loops}, batch {n + 1}/{batch_count}"