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import os |
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import tomli |
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from typing import Dict, Any |
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def fix_escaping(text: str) -> str: |
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return text |
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def load_config() -> Dict[str, Any]: |
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config_path = os.path.join(os.path.dirname(__file__), 'config.toml') |
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with open(config_path, 'rb') as f: |
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config = tomli.load(f) |
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return config |
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config = load_config() |
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MODEL = os.getenv("MODEL", config['model']['path']) |
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MIN_IMAGE_SIZE = int(os.getenv("MIN_IMAGE_SIZE", config['model']['min_image_size'])) |
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MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", config['model']['max_image_size'])) |
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USE_TORCH_COMPILE = os.getenv("USE_TORCH_COMPILE", str(config['model']['use_torch_compile'])).lower() == "true" |
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ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD", str(config['model']['enable_cpu_offload'])).lower() == "true" |
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OUTPUT_DIR = os.getenv("OUTPUT_DIR", config['model']['output_dir']) |
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DEFAULT_NEGATIVE_PROMPT = config['prompts']['default_negative'] |
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DEFAULT_ASPECT_RATIO = config['prompts']['default_aspect_ratio'] |
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examples = config['prompts']['examples'] |
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sampler_list = config['samplers']['list'] |
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aspect_ratios = config['aspect_ratios']['list'] |
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style_list = config['styles'] |