Support reusing filename stems during batch processing in Extras tab
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53651696dc
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@ -1,3 +1,5 @@
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import os
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import numpy as np
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from PIL import Image
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@ -17,27 +19,31 @@ def run_extras(image, image_folder, gfpgan_visibility, codeformer_visibility, co
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devices.torch_gc()
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imageArr = []
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# Also keep track of original file names
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imageNameArr = []
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if image_folder != None:
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if image != None:
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if image_folder is not None:
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if image is not None:
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print("Batch detected and single image detected, please only use one of the two. Aborting.")
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return None
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#convert file to pillow image
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for img in image_folder:
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image = Image.fromarray(np.array(Image.open(img)))
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imageArr.append(image)
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imageNameArr.append(os.path.splitext(img.orig_name)[0])
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elif image != None:
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if image_folder != None:
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elif image is not None:
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if image_folder is not None:
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print("Batch detected and single image detected, please only use one of the two. Aborting.")
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return None
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else:
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imageArr.append(image)
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imageNameArr.append(None)
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outpath = opts.outdir_samples or opts.outdir_extras_samples
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outputs = []
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for image in imageArr:
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for image, image_name in zip(imageArr, imageNameArr):
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existing_pnginfo = image.info or {}
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image = image.convert("RGB")
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@ -90,7 +96,9 @@ def run_extras(image, image_folder, gfpgan_visibility, codeformer_visibility, co
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while len(cached_images) > 2:
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del cached_images[next(iter(cached_images.keys()))]
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images.save_image(image, path=outpath, basename="", seed=None, prompt=None, extension=opts.samples_format, info=info, short_filename=True, no_prompt=True, grid=False, pnginfo_section_name="extras", existing_info=existing_pnginfo)
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images.save_image(image, path=outpath, basename="", seed=None, prompt=None, extension=opts.samples_format, info=info, short_filename=True,
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no_prompt=True, grid=False, pnginfo_section_name="extras", existing_info=existing_pnginfo,
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forced_filename=image_name if opts.use_original_name_batch else None)
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outputs.append(image)
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@ -303,7 +303,7 @@ def get_next_sequence_number(path, basename):
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return result + 1
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def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None):
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def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None):
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if short_filename or prompt is None or seed is None:
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file_decoration = ""
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elif opts.save_to_dirs:
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@ -335,15 +335,19 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
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os.makedirs(path, exist_ok=True)
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basecount = get_next_sequence_number(path, basename)
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fullfn = "a.png"
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fullfn_without_extension = "a"
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for i in range(500):
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fn = f"{basecount+i:05}" if basename == '' else f"{basename}-{basecount+i:04}"
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fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
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fullfn_without_extension = os.path.join(path, f"{fn}{file_decoration}")
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if not os.path.exists(fullfn):
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break
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if forced_filename is None:
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basecount = get_next_sequence_number(path, basename)
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fullfn = "a.png"
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fullfn_without_extension = "a"
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for i in range(500):
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fn = f"{basecount+i:05}" if basename == '' else f"{basename}-{basecount+i:04}"
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fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
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fullfn_without_extension = os.path.join(path, f"{fn}{file_decoration}")
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if not os.path.exists(fullfn):
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break
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else:
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fullfn = os.path.join(path, f"{forced_filename}.{extension}")
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fullfn_without_extension = os.path.join(path, forced_filename)
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def exif_bytes():
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return piexif.dump({
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@ -161,6 +161,7 @@ class Options:
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"sd_model_checkpoint": OptionInfo(None, "Stable Diffusion checkpoint", gr.Radio, lambda: {"choices": [x.title for x in modules.sd_models.checkpoints_list.values()]}),
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"js_modal_lightbox": OptionInfo(True, "Enable full page image viewer"),
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"js_modal_lightbox_initialy_zoomed": OptionInfo(True, "Show images zoomed in by default in full page image viewer"),
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"use_original_name_batch": OptionInfo(True, "Use original name for output filename during batch process"),
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}
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def __init__(self):
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