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https://github.com/facefusion/facefusion-labs.git
synced 2026-06-25 07:59:55 +02:00
@@ -19,8 +19,8 @@ def export() -> None:
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config_opset_version = CONFIG_PARSER.getint('exporting', 'opset_version')
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os.makedirs(config_directory_path, exist_ok = True)
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model = FaceSwapperTrainer.load_from_checkpoint(config_source_path, map_location = 'cpu').eval()
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model = FaceSwapperTrainer.load_from_checkpoint(config_source_path, config_parser = CONFIG_PARSER, map_location = 'cpu').eval()
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model.ir_version = torch.tensor(config_ir_version)
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source_tensor = torch.randn(1, 512)
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target_tensor = torch.randn(1, 3, config_target_size, config_target_size)
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torch.onnx.export(model, (source_tensor, target_tensor), config_target_path, input_names = [ 'source', 'target' ], output_names = [ 'output' ], opset_version = config_opset_version)
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torch.onnx.export(model, (source_tensor, target_tensor), config_target_path, input_names = [ 'source', 'target' ], output_names = [ 'output', 'mask' ], opset_version = config_opset_version)
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@@ -54,7 +54,12 @@ class FaceSwapperTrainer(LightningModule):
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self.automatic_optimization = False
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def forward(self, source_embedding : Embedding, target_tensor : Tensor) -> Tuple[Tensor, Tensor]:
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output_tensor, mask_tensor = self.generator(source_embedding, target_tensor)
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with torch.no_grad():
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output_tensor = self.generator(source_embedding, target_tensor)
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target_attributes = self.generator.get_attributes(target_tensor)
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mask_tensor = self.masker(target_tensor, target_attributes[-1])
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return output_tensor, mask_tensor
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def configure_optimizers(self) -> Tuple[OptimizerSet, OptimizerSet, OptimizerSet]:
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