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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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92d77e3fa8
fix_jpeg_live_preview
169 lines
5.4 KiB
Python
169 lines
5.4 KiB
Python
import datetime
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import logging
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import threading
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import time
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from modules import errors, shared, devices
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from typing import Optional
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log = logging.getLogger(__name__)
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class State:
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skipped = False
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interrupted = False
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stopping_generation = False
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job = ""
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job_no = 0
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job_count = 0
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processing_has_refined_job_count = False
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job_timestamp = '0'
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sampling_step = 0
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sampling_steps = 0
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current_latent = None
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current_image = None
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current_image_sampling_step = 0
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id_live_preview = 0
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textinfo = None
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time_start = None
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server_start = None
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_server_command_signal = threading.Event()
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_server_command: Optional[str] = None
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def __init__(self):
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self.server_start = time.time()
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@property
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def need_restart(self) -> bool:
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# Compatibility getter for need_restart.
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return self.server_command == "restart"
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@need_restart.setter
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def need_restart(self, value: bool) -> None:
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# Compatibility setter for need_restart.
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if value:
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self.server_command = "restart"
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@property
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def server_command(self):
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return self._server_command
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@server_command.setter
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def server_command(self, value: Optional[str]) -> None:
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"""
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Set the server command to `value` and signal that it's been set.
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"""
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self._server_command = value
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self._server_command_signal.set()
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def wait_for_server_command(self, timeout: Optional[float] = None) -> Optional[str]:
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"""
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Wait for server command to get set; return and clear the value and signal.
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"""
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if self._server_command_signal.wait(timeout):
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self._server_command_signal.clear()
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req = self._server_command
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self._server_command = None
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return req
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return None
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def request_restart(self) -> None:
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self.interrupt()
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self.server_command = "restart"
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log.info("Received restart request")
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def skip(self):
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self.skipped = True
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log.info("Received skip request")
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def interrupt(self):
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self.interrupted = True
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log.info("Received interrupt request")
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def stop_generating(self):
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self.stopping_generation = True
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log.info("Received stop generating request")
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def nextjob(self):
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if shared.opts.live_previews_enable and shared.opts.show_progress_every_n_steps == -1:
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self.do_set_current_image()
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self.job_no += 1
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self.sampling_step = 0
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self.current_image_sampling_step = 0
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def dict(self):
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obj = {
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"skipped": self.skipped,
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"interrupted": self.interrupted,
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"stopping_generation": self.stopping_generation,
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"job": self.job,
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"job_count": self.job_count,
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"job_timestamp": self.job_timestamp,
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"job_no": self.job_no,
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"sampling_step": self.sampling_step,
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"sampling_steps": self.sampling_steps,
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}
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return obj
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def begin(self, job: str = "(unknown)"):
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self.sampling_step = 0
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self.time_start = time.time()
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self.job_count = -1
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self.processing_has_refined_job_count = False
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self.job_no = 0
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self.job_timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
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self.current_latent = None
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self.current_image = None
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self.current_image_sampling_step = 0
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self.id_live_preview = 0
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self.skipped = False
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self.interrupted = False
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self.stopping_generation = False
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self.textinfo = None
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self.job = job
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devices.torch_gc()
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log.info("Starting job %s", job)
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def end(self):
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duration = time.time() - self.time_start
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log.info("Ending job %s (%.2f seconds)", self.job, duration)
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self.job = ""
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self.job_count = 0
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devices.torch_gc()
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def set_current_image(self):
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"""if enough sampling steps have been made after the last call to this, sets self.current_image from self.current_latent, and modifies self.id_live_preview accordingly"""
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if not shared.parallel_processing_allowed:
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return
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if self.sampling_step - self.current_image_sampling_step >= shared.opts.show_progress_every_n_steps and shared.opts.live_previews_enable and shared.opts.show_progress_every_n_steps != -1:
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self.do_set_current_image()
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def do_set_current_image(self):
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if self.current_latent is None:
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return
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import modules.sd_samplers
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try:
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if shared.opts.show_progress_grid:
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self.assign_current_image(modules.sd_samplers.samples_to_image_grid(self.current_latent))
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else:
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self.assign_current_image(modules.sd_samplers.sample_to_image(self.current_latent))
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self.current_image_sampling_step = self.sampling_step
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except Exception:
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# when switching models during generation, VAE would be on CPU, so creating an image will fail.
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# we silently ignore this error
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errors.record_exception()
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def assign_current_image(self, image):
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if shared.opts.live_previews_image_format == 'jpeg' and image.mode == 'RGBA':
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image = image.convert('RGB')
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self.current_image = image
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self.id_live_preview += 1
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