mirror of
https://github.com/invoke-ai/InvokeAI.git
synced 2025-01-09 04:18:46 +08:00
Fix grid image saving, log to outdir path, display sampler options once
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parent
373a2d9c32
commit
529040708b
@ -37,7 +37,7 @@ class PngWriter:
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if not upscaled:
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self.files_written.append([self.filepath, seed])
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def unique_filename(self, seed, upscaled, previouspath=None):
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def unique_filename(self, seed, upscaled=False, previouspath=None):
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revision = 1
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if previouspath is None:
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@ -60,7 +60,7 @@ class PngWriter:
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basename = os.path.basename(previouspath)
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x = re.match('^(\d+)\..*\.png', basename)
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if not x:
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return self.unique_filename(seed, previouspath)
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return self.unique_filename(seed, upscaled, previouspath)
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basecount = int(x.groups()[0])
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series = 0
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108
scripts/dream.py
108
scripts/dream.py
@ -86,16 +86,14 @@ def main():
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"\n* Initialization done! Awaiting your command (-h for help, 'q' to quit)"
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)
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log_path = os.path.join(opt.outdir, 'dream_log.txt')
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with open(log_path, 'a') as log:
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cmd_parser = create_cmd_parser()
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if opt.web:
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dream_server_loop(t2i)
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else:
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main_loop(t2i, opt.outdir, cmd_parser, log_path, infile)
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log.close()
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cmd_parser = create_cmd_parser()
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if opt.web:
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dream_server_loop(t2i)
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else:
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main_loop(t2i, opt.outdir, cmd_parser, infile)
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def main_loop(t2i, outdir, parser, log_path, infile):
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def main_loop(t2i, outdir, parser, infile):
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"""prompt/read/execute loop"""
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done = False
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last_seeds = []
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@ -202,12 +200,13 @@ def main_loop(t2i, outdir, parser, log_path, infile):
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continue
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print('Outputs:')
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write_log_message(t2i, normalized_prompt, results, log_path)
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log_path = os.path.join(current_outdir, 'dream_log.txt')
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write_log_message(normalized_prompt, results, log_path)
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print('goodbye!')
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def get_next_command(infile=None) -> 'command string':
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def get_next_command(infile=None) -> str: #command string
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if infile is None:
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command = input('dream> ')
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else:
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@ -239,9 +238,9 @@ def dream_server_loop(t2i):
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dream_server.server_close()
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### the t2i variable doesn't seem to be necessary here. maybe remove it?
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def write_log_message(t2i, prompt, results, log_path):
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"""logs the name of the output image, its prompt and seed to the terminal, log file, and a Dream text chunk in the PNG metadata"""
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def write_log_message(prompt, results, log_path):
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"""logs the name of the output image, prompt, and prompt args to the terminal and log file"""
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log_lines = [f'{r[0]}: {prompt} -S{r[1]}\n' for r in results]
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print(*log_lines, sep='')
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@ -249,6 +248,17 @@ def write_log_message(t2i, prompt, results, log_path):
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file.writelines(log_lines)
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SAMPLER_CHOICES=[
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'ddim',
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'k_dpm_2_a',
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'k_dpm_2',
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'k_euler_a',
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'k_euler',
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'k_heun',
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'k_lms',
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'plms',
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]
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def create_argv_parser():
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parser = argparse.ArgumentParser(
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description="Parse script's command line args"
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@ -259,52 +269,44 @@ def create_argv_parser():
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'-l',
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dest='laion400m',
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action='store_true',
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help='fallback to the latent diffusion (laion400m) weights and config',
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help='Fallback to the latent diffusion (laion400m) weights and config',
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)
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parser.add_argument(
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'--from_file',
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dest='infile',
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type=str,
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help='if specified, load prompts from this file',
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help='If specified, load prompts from this file',
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)
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parser.add_argument(
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'-n',
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'--iterations',
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type=int,
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default=1,
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help='number of images to generate',
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help='Number of images to generate',
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)
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parser.add_argument(
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'-F',
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'--full_precision',
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dest='full_precision',
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action='store_true',
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help='use slower full precision math for calculations',
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help='Use slower full precision math for calculations',
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)
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parser.add_argument(
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'-A',
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'-m',
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'--sampler',
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dest='sampler_name',
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choices=[
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'ddim',
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'k_dpm_2_a',
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'k_dpm_2',
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'k_euler_a',
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'k_euler',
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'k_heun',
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'k_lms',
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'plms',
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],
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choices=SAMPLER_CHOICES,
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metavar='SAMPLER_NAME',
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default='k_lms',
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help='which sampler to use (k_lms)',
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help=f'Set the initial sampler. Default: k_lms. Supported samplers: {", ".join(SAMPLER_CHOICES)}',
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)
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parser.add_argument(
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'--outdir',
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'-o',
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type=str,
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default='outputs/img-samples',
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help='directory in which to place generated images and a log of prompts and seeds (outputs/img-samples',
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help='Directory to save generated images and a log of prompts and seeds. Default: outputs/img-samples',
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)
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parser.add_argument(
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'--embedding_path',
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@ -316,7 +318,7 @@ def create_argv_parser():
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'-d',
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type=str,
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default='cuda',
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help='device to run stable diffusion on. defaults to cuda `torch.cuda.current_device()` if avalible',
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help='Device to run Stable Diffusion on. Defaults to cuda `torch.cuda.current_device()` if avalible',
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)
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# GFPGAN related args
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parser.add_argument(
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@ -335,19 +337,19 @@ def create_argv_parser():
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'--gfpgan_model_path',
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type=str,
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default='experiments/pretrained_models/GFPGANv1.3.pth',
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help='indicates the path to the GFPGAN model, relative to --gfpgan_dir.',
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help='Indicates the path to the GFPGAN model, relative to --gfpgan_dir.',
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)
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parser.add_argument(
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'--gfpgan_dir',
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type=str,
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default='../GFPGAN',
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help='indicates the directory containing the GFPGAN code.',
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help='Indicates the directory containing the GFPGAN code.',
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)
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parser.add_argument(
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'--web',
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dest='web',
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action='store_true',
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help='start in web server mode.',
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help='Start in web server mode.',
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)
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return parser
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@ -357,39 +359,39 @@ def create_cmd_parser():
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description='Example: dream> a fantastic alien landscape -W1024 -H960 -s100 -n12'
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)
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parser.add_argument('prompt')
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parser.add_argument('-s', '--steps', type=int, help='number of steps')
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parser.add_argument('-s', '--steps', type=int, help='Number of steps')
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parser.add_argument(
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'-S',
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'--seed',
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type=int,
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help='image seed; a +ve integer, or use -1 for the previous seed, -2 for the one before that, etc',
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help='Image seed; a +ve integer, or use -1 for the previous seed, -2 for the one before that, etc',
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)
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parser.add_argument(
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'-n',
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'--iterations',
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type=int,
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default=1,
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help='number of samplings to perform (slower, but will provide seeds for individual images)',
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help='Number of samplings to perform (slower, but will provide seeds for individual images)',
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)
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parser.add_argument(
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'-b',
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'--batch_size',
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type=int,
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default=1,
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help='number of images to produce per sampling (will not provide seeds for individual images!)',
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help='Number of images to produce per sampling (will not provide seeds for individual images!)',
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)
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parser.add_argument(
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'-W', '--width', type=int, help='image width, multiple of 64'
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'-W', '--width', type=int, help='Image width, multiple of 64'
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)
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parser.add_argument(
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'-H', '--height', type=int, help='image height, multiple of 64'
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'-H', '--height', type=int, help='Image height, multiple of 64'
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)
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parser.add_argument(
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'-C',
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'--cfg_scale',
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default=7.5,
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type=float,
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help='prompt configuration scale',
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help='Prompt configuration scale',
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)
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parser.add_argument(
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'-g', '--grid', action='store_true', help='generate a grid'
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@ -399,26 +401,26 @@ def create_cmd_parser():
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'-o',
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type=str,
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default=None,
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help='directory in which to place generated images and a log of prompts and seeds (outputs/img-samples',
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help='Directory to save generated images and a log of prompts and seeds',
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)
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parser.add_argument(
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'-i',
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'--individual',
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action='store_true',
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help='generate individual files (default)',
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help='Generate individual files (default)',
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)
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parser.add_argument(
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'-I',
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'--init_img',
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type=str,
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help='path to input image for img2img mode (supersedes width and height)',
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help='Path to input image for img2img mode (supersedes width and height)',
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)
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parser.add_argument(
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'-f',
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'--strength',
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default=0.75,
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type=float,
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help='strength for noising/unnoising. 0.0 preserves image exactly, 1.0 replaces it completely',
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help='Strength for noising/unnoising. 0.0 preserves image exactly, 1.0 replaces it completely',
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)
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parser.add_argument(
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'-G',
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@ -447,7 +449,7 @@ def create_cmd_parser():
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'-x',
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'--skip_normalize',
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action='store_true',
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help='skip subprompt weight normalization',
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help='Skip subprompt weight normalization',
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)
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parser.add_argument(
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'-A',
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@ -456,17 +458,9 @@ def create_cmd_parser():
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dest='sampler_name',
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default=None,
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type=str,
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choices=[
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'ddim',
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'k_dpm_2_a',
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'k_dpm_2',
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'k_euler_a',
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'k_euler',
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'k_heun',
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'k_lms',
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'plms',
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],
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help='Change to another supported sampler using this command',
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choices=SAMPLER_CHOICES,
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metavar='SAMPLER_NAME',
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help=f'Switch to a different sampler. Supported samplers: {", ".join(SAMPLER_CHOICES)}',
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)
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return parser
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