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import argparse |
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import os |
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import sys |
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import modules.safe |
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script_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__))) |
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parser = argparse.ArgumentParser(add_help=False) |
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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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cmd_opts_pre = parser.parse_known_args()[0] |
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data_path = cmd_opts_pre.data_dir |
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models_path = os.path.join(data_path, "models") |
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sys.path.insert(0, script_path) |
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sd_path = None |
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possible_sd_paths = [os.path.join(script_path, 'repositories/stable-diffusion-stability-ai'), '.', os.path.dirname(script_path)] |
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for possible_sd_path in possible_sd_paths: |
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if os.path.exists(os.path.join(possible_sd_path, 'ldm/models/diffusion/ddpm.py')): |
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sd_path = os.path.abspath(possible_sd_path) |
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break |
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assert sd_path is not None, "Couldn't find Stable Diffusion in any of: " + str(possible_sd_paths) |
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path_dirs = [ |
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(sd_path, 'ldm', 'Stable Diffusion', []), |
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(os.path.join(sd_path, '../taming-transformers'), 'taming', 'Taming Transformers', []), |
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(os.path.join(sd_path, '../CodeFormer'), 'inference_codeformer.py', 'CodeFormer', []), |
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(os.path.join(sd_path, '../BLIP'), 'models/blip.py', 'BLIP', []), |
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(os.path.join(sd_path, '../k-diffusion'), 'k_diffusion/sampling.py', 'k_diffusion', ["atstart"]), |
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] |
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paths = {} |
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for d, must_exist, what, options in path_dirs: |
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must_exist_path = os.path.abspath(os.path.join(script_path, d, must_exist)) |
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if not os.path.exists(must_exist_path): |
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print(f"Warning: {what} not found at path {must_exist_path}", file=sys.stderr) |
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else: |
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d = os.path.abspath(d) |
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if "atstart" in options: |
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sys.path.insert(0, d) |
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else: |
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sys.path.append(d) |
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paths[what] = d |
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class Prioritize: |
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def __init__(self, name): |
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self.name = name |
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self.path = None |
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def __enter__(self): |
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self.path = sys.path.copy() |
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sys.path = [paths[self.name]] + sys.path |
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def __exit__(self, exc_type, exc_val, exc_tb): |
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sys.path = self.path |
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self.path = None |
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