Upload config.yaml with huggingface_hub
Browse files- config.yaml +50 -0
config.yaml
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job: extension
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config:
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name: trained_lora
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process:
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- type: sd_trainer
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training_folder: /home/bhara/ai-toolkit/output
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device: cuda:0
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trigger_word: UNST
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network:
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type: lora
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linear: 16
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linear_alpha: 16
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network_kwargs:
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only_if_contains:
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- transformer.single_transformer_blocks.'7.proj_out
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- transformer.single_transformer_blocks.12.proj_out
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- transformer.single_transformer_blocks.16.proj_out
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- transformer.single_transformer_blocks.20'.proj_out
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save:
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dtype: float16
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save_every: 100
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max_step_saves_to_keep: 4
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datasets:
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- folder_path: /home/bhara/ai-toolkit/dataset/images_and_captions
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caption_ext: txt
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caption_dropout_rate: 0.05
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cache_latents_to_disk: false
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resolution:
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- 512
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- 768
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- 1024
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train:
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batch_size: 1
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steps: 10
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lr: 0.0004
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gradient_checkpointing: true
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optimizer: adamw8bit
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disable_sampling: true
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dtype: bf16
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model:
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name_or_path: black-forest-labs/FLUX.1-dev
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is_flux: true
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quantize: false
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sample:
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sample_every: 10000
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width: 1024
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height: 1024
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prompts: []
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seed: 42
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sample_steps: 28
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