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Upload training_config.yaml

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+ controlnet_type: canny
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+ controlnet_model: InstantX/FLUX.1-dev-Controlnet-Canny
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+ N4: false
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+ mixed_precision: bf16
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+ steps: 1000
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+ train_batch_size: 2
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+ learning_rate: 2e-6
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+ resolution: 512
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+ checkpointing_steps: 250
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+ validation_steps: 125
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+ gradient_accumulation_steps: 4
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+ validation_image: default
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+ hub_model_id: tommycik/tommycik/controlFluxAlcol