Use different keys for detection between original model and converted model
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@@ -17,7 +17,7 @@ conversion_map_ms = [ # for multi_scale_train (MS)
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]
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def get_depth(state_dict):
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return sum(key.endswith('.scale_shift_table') for key in state_dict.keys())
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return sum(key.endswith('.attn1.to_k.bias') for key in state_dict.keys())
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def get_conversion_map(state_dict):
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conversion_map = [ # main SD conversion map (PixArt reference, HF Diffusers)
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+1
-1
@@ -76,7 +76,7 @@ def load_pixart(model_path, model_conf):
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device=model_management.get_torch_device()
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)
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model_conf.unet_config['depth'] = sum(key.endswith('.scale_shift_table') for key in state_dict.keys())
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model_conf.unet_config['depth'] = sum(key.endswith('mlp.fc1.weight') for key in state_dict.keys())
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if model_conf.model_target == "PixArtMS":
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from .models.PixArtMS import PixArtMS
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