mirror of
https://github.com/facefusion/facefusion-labs.git
synced 2026-05-22 23:59:40 +02:00
henryruhs
117 lines
1.7 KiB
Markdown
117 lines
1.7 KiB
Markdown
Embedding Converter
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===================
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> Convert face embeddings between various models.
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Preview
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-------
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Installation
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------------
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```
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pip install -r requirements.txt
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```
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Setup
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-----
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This `config.ini` utilizes the MegaFace dataset to train the Embedding Converter for SimSwap.
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```
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[preparing.dataset]
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dataset_path = .datasets/megaface/train.rec
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crop_size = 112
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process_limit = 650000
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```
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```
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[preparing.model]
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source_path = .models/arcface_w600k_r50.onnx
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target_path = .models/arcface_simswap.onnx
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```
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```
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[preparing.input]
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directory_path = .inputs
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source_path = .inputs/arcface_w600k_r50.npy
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target_path = .inputs/arcface_simswap.npy
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```
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```
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[training.loader]
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split_ratio = 0.8
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batch_size = 51200
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num_workers = 8
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```
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```
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[training.trainer]
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learning_rate = 0.001
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max_epochs = 4096
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```
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```
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[training.output]
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directory_path = .outputs
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file_pattern = arcface_converter_simswap_{epoch}_{step}
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resume_file_path = .outputs/last.ckpt
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```
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```
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[exporting]
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directory_path = .exports
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source_path = .outputs/last.ckpt
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target_path = .exports/arcface_converter_simswap.onnx
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ir_version = 10
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opset_version = 15
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```
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```
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[execution]
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providers = CUDAExecutionProvider
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```
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Preparing
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---------
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Prepare the embedding dataset.
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```
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python prepare.py
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```
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Training
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--------
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Train the Embedding Converter model.
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```
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python train.py
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```
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Launch the TensorBoard to monitor the training.
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```
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tensorboard --logdir=.logs
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```
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Exporting
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---------
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Export the model to ONNX.
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```
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python export.py
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```
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