mirror of
https://github.com/brycedrennan/imaginAIry
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f97f6a3b4b
BREAKING CHANGE - stable diffusion 1.5 + inpainting working - self-attention guidance working. improves image generation quality - tile-mode working - inpainting self-attention guidance working disable/broken features: - sd 1.4, 2.0, 2.1 - most of the samplers - pix2pix edit - most of the controlnets - memory management - python 3.8 support wip
58 lines
2.1 KiB
Python
58 lines
2.1 KiB
Python
import itertools
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import json
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import os
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from collections import defaultdict
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from imaginairy.weight_management.utils import WEIGHT_INFO_PATH, WEIGHT_MAPS_PATH
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def generate_conversion_maps():
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execution_orders_map = defaultdict(dict)
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for filename in os.listdir(WEIGHT_INFO_PATH):
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if not filename.endswith("prefix-execution-order.json"):
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continue
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base_name = filename.split(".", 1)[0]
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model_name, component_name, format_name = base_name.split("_")
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execution_orders_map[(model_name, component_name)][format_name] = filename
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for (model_name, component_name), format_lookup in execution_orders_map.items():
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if len(format_lookup) <= 1:
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continue
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formats = list(format_lookup.keys())
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for format_a, format_b in itertools.permutations(formats, 2):
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filename_a = format_lookup[format_a]
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filename_b = format_lookup[format_b]
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with open(os.path.join(WEIGHT_INFO_PATH, filename_a)) as f:
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execution_order_a = json.load(f)
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with open(os.path.join(WEIGHT_INFO_PATH, filename_b)) as f:
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execution_order_b = json.load(f)
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mapping_filename = (
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f"{model_name}_{component_name}_{format_a}_TO_{format_b}.json"
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)
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mapping_filepath = os.path.join(WEIGHT_MAPS_PATH, mapping_filename)
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print(f"Creating {mapping_filename}...")
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if os.path.exists(mapping_filepath):
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continue
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if len(execution_order_a) != len(execution_order_b):
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print(
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f"Could not create {mapping_filename} - Execution orders for {format_a} and {format_b} have different lengths"
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)
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continue
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mapping = dict(zip(execution_order_a, execution_order_b))
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mapping_info = {
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"mapping": mapping,
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"source_aliases": {},
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"ignorable_prefixes": [],
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}
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with open(mapping_filepath, "w") as f:
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json.dump(mapping_info, f, indent=2)
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if __name__ == "__main__":
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generate_conversion_maps()
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