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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Merge pull request #14626 from AUTOMATIC1111/hr-button-fix
more Hr button fix
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commit
5df56b3980
@ -230,7 +230,7 @@ def restore_old_hires_fix_params(res):
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res['Hires resize-2'] = height
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res['Hires resize-2'] = height
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def parse_generation_parameters(x: str):
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def parse_generation_parameters(x: str, skip_fields: list[str] | None = None):
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"""parses generation parameters string, the one you see in text field under the picture in UI:
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"""parses generation parameters string, the one you see in text field under the picture in UI:
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```
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```
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girl with an artist's beret, determined, blue eyes, desert scene, computer monitors, heavy makeup, by Alphonse Mucha and Charlie Bowater, ((eyeshadow)), (coquettish), detailed, intricate
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girl with an artist's beret, determined, blue eyes, desert scene, computer monitors, heavy makeup, by Alphonse Mucha and Charlie Bowater, ((eyeshadow)), (coquettish), detailed, intricate
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@ -240,6 +240,8 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
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returns a dict with field values
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returns a dict with field values
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"""
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"""
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if skip_fields is None:
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skip_fields = shared.opts.infotext_skip_pasting
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res = {}
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res = {}
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@ -356,8 +358,8 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
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infotext_versions.backcompat(res)
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infotext_versions.backcompat(res)
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skip = set(shared.opts.infotext_skip_pasting)
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for key in skip_fields:
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res = {k: v for k, v in res.items() if k not in skip}
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res.pop(key, None)
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return res
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return res
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@ -1227,8 +1227,11 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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if not state.processing_has_refined_job_count:
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if not state.processing_has_refined_job_count:
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if state.job_count == -1:
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if state.job_count == -1:
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state.job_count = self.n_iter
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state.job_count = self.n_iter
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if getattr(self, 'txt2img_upscale', False):
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shared.total_tqdm.updateTotal((self.steps + (self.hr_second_pass_steps or self.steps)) * state.job_count)
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total_steps = (self.hr_second_pass_steps or self.steps) * state.job_count
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else:
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total_steps = (self.steps + (self.hr_second_pass_steps or self.steps)) * state.job_count
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shared.total_tqdm.updateTotal(total_steps)
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state.job_count = state.job_count * 2
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state.job_count = state.job_count * 2
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state.processing_has_refined_job_count = True
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state.processing_has_refined_job_count = True
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@ -3,7 +3,7 @@ from contextlib import closing
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import modules.scripts
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import modules.scripts
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from modules import processing, infotext_utils
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from modules import processing, infotext_utils
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from modules.infotext_utils import create_override_settings_dict
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from modules.infotext_utils import create_override_settings_dict, parse_generation_parameters
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from modules.shared import opts
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from modules.shared import opts
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import modules.shared as shared
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import modules.shared as shared
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from modules.ui import plaintext_to_html
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from modules.ui import plaintext_to_html
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@ -64,19 +64,18 @@ def txt2img_upscale(id_task: str, request: gr.Request, gallery, gallery_index, g
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p.enable_hr = True
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p.enable_hr = True
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p.batch_size = 1
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p.batch_size = 1
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p.n_iter = 1
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p.n_iter = 1
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p.txt2img_upscale = True
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geninfo = json.loads(generation_info)
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geninfo = json.loads(generation_info)
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all_seeds = geninfo["all_seeds"]
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all_subseeds = geninfo["all_subseeds"]
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image_info = gallery[gallery_index] if 0 <= gallery_index < len(gallery) else gallery[0]
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image_info = gallery[gallery_index] if 0 <= gallery_index < len(gallery) else gallery[0]
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p.firstpass_image = infotext_utils.image_from_url_text(image_info)
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p.firstpass_image = infotext_utils.image_from_url_text(image_info)
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gallery_index_from_end = len(gallery) - gallery_index
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parameters = parse_generation_parameters(geninfo.get('infotexts')[gallery_index], [])
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seed = all_seeds[-gallery_index_from_end if gallery_index_from_end < len(all_seeds) + 1 else 0]
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p.seed = parameters.get('Seed', -1)
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subseed = all_subseeds[-gallery_index_from_end if gallery_index_from_end < len(all_seeds) + 1 else 0]
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p.subseed = parameters.get('Variation seed', -1)
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p.seed = seed
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p.subseed = subseed
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p.override_settings['save_images_before_highres_fix'] = False
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with closing(p):
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with closing(p):
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processed = modules.scripts.scripts_txt2img.run(p, *p.script_args)
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processed = modules.scripts.scripts_txt2img.run(p, *p.script_args)
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@ -88,18 +87,13 @@ def txt2img_upscale(id_task: str, request: gr.Request, gallery, gallery_index, g
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new_gallery = []
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new_gallery = []
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for i, image in enumerate(gallery):
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for i, image in enumerate(gallery):
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fake_image = Image.new(mode="RGB", size=(1, 1))
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if i == gallery_index:
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if i == gallery_index:
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already_saved_as = getattr(processed.images[0], 'already_saved_as', None)
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geninfo["infotexts"][gallery_index: gallery_index+1] = processed.infotexts
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if already_saved_as is not None:
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new_gallery.extend(processed.images)
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fake_image.already_saved_as = already_saved_as
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else:
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fake_image = processed.images[0]
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else:
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else:
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fake_image.already_saved_as = image["name"]
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fake_image = Image.new(mode="RGB", size=(1, 1))
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fake_image.already_saved_as = image["name"].rsplit('?', 1)[0]
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new_gallery.append(fake_image)
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new_gallery.append(fake_image)
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geninfo["infotexts"][gallery_index] = processed.info
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geninfo["infotexts"][gallery_index] = processed.info
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