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import argparse |
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import torch |
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import os |
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from diffusers import StableDiffusionPipeline |
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import sys |
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PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) |
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sys.path.append(PROJECT_ROOT) |
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SAMPLER_SCALES_ROOT = os.path.join(PROJECT_ROOT, 'toolkit', 'samplers_scales') |
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parser = argparse.ArgumentParser(description='Process some images.') |
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add_arg = parser.add_argument |
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add_arg('--model', type=str, required=True, help='Path to model') |
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add_arg('--sampler', type=str, required=True, help='Name of sampler') |
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args = parser.parse_args() |
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