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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Merge branch 'release_candidate' into dev
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@@ -16,6 +16,7 @@ parser.add_argument("--test-server", action='store_true', help="launch.py argume
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parser.add_argument("--log-startup", action='store_true', help="launch.py argument: print a detailed log of what's happening at startup")
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parser.add_argument("--skip-prepare-environment", action='store_true', help="launch.py argument: skip all environment preparation")
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parser.add_argument("--skip-install", action='store_true', help="launch.py argument: skip installation of packages")
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parser.add_argument("--dump-sysinfo", action='store_true', help="launch.py argument: dump limited sysinfo file (without information about extensions, options) to disk and quit")
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parser.add_argument("--loglevel", type=str, help="log level; one of: CRITICAL, ERROR, WARNING, INFO, DEBUG", default=None)
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parser.add_argument("--do-not-download-clip", action='store_true', help="do not download CLIP model even if it's not included in the checkpoint")
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parser.add_argument("--data-dir", type=str, default=os.path.dirname(os.path.dirname(os.path.realpath(__file__))), help="base path where all user data is stored")
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@@ -434,3 +434,16 @@ def start():
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webui.api_only()
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else:
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webui.webui()
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def dump_sysinfo():
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from modules import sysinfo
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import datetime
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text = sysinfo.get()
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filename = f"sysinfo-{datetime.datetime.utcnow().strftime('%Y-%m-%d-%H-%M')}.txt"
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with open(filename, "w", encoding="utf8") as file:
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file.write(text)
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return filename
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@@ -1315,7 +1315,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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if shared.opts.hires_fix_use_firstpass_conds:
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self.calculate_hr_conds()
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elif lowvram.is_enabled(shared.sd_model): # if in lowvram mode, we need to calculate conds right away, before the cond NN is unloaded
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elif lowvram.is_enabled(shared.sd_model) and shared.sd_model.sd_checkpoint_info == sd_models.select_checkpoint(): # if in lowvram mode, we need to calculate conds right away, before the cond NN is unloaded
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with devices.autocast():
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extra_networks.activate(self, self.hr_extra_network_data)
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@@ -95,6 +95,8 @@ def images_tensor_to_samples(image, approximation=None, model=None):
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else:
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if model is None:
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model = shared.sd_model
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model.first_stage_model.to(devices.dtype_vae)
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image = image.to(shared.device, dtype=devices.dtype_vae)
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image = image * 2 - 1
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if len(image) > 1:
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