set loopback color corrections on each iteration
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@ -339,6 +339,8 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
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state.nextjob()
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p.color_corrections = None
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unwanted_grid_because_of_img_count = len(output_images) < 2 and opts.grid_only_if_multiple
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if (opts.return_grid or opts.grid_save) and not p.do_not_save_grid and not unwanted_grid_because_of_img_count:
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grid = images.image_grid(output_images, p.batch_size)
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@ -6,7 +6,7 @@ import traceback
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import modules.scripts as scripts
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import gradio as gr
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from modules.processing import Processed, process_images, setup_color_correction
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from modules.processing import Processed, process_images
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from PIL import Image
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from modules.shared import opts, cmd_opts, state
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@ -52,9 +52,6 @@ class Script(scripts.Script):
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state.job = f"{batch_no} out of {batch_count}: {batch_images[0][1]}"
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p.init_images = [x[0] for x in batch_images]
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if opts.img2img_color_correction:
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p.color_corrections = [setup_color_correction(i) for i in p.init_images]
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proc = process_images(p)
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for image, (_, path) in zip(proc.images, batch_images):
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filename = os.path.basename(path)
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@ -40,8 +40,7 @@ class Script(scripts.Script):
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all_images = []
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state.job_count = loops * batch_count
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if opts.img2img_color_correction:
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p.color_corrections = [processing.setup_color_correction(p.init_images[0])]
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initial_color_corrections = [processing.setup_color_correction(p.init_images[0])]
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for n in range(batch_count):
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history = []
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@ -50,6 +49,7 @@ class Script(scripts.Script):
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p.n_iter = 1
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p.batch_size = 1
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p.do_not_save_grid = True
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p.color_corrections = initial_color_corrections
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state.job = f"Iteration {i + 1}/{loops}, batch {n + 1}/{batch_count}"
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