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- araminta_clippy2/araminta_clippy2.safetensors +0 -3
- araminta_clippy2/araminta_clippy2_000002100.safetensors +0 -3
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- araminta_clippy2/araminta_clippy2_000002500.safetensors +0 -3
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araminta_clippy2/araminta_clippy2.safetensors
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araminta_clippy2/araminta_clippy2_000002400.safetensors
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araminta_clippy2/araminta_clippy2_000002500.safetensors
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araminta_clippy2/config.yaml
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config:
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name: araminta_clippy2
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process:
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- datasets:
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- cache_latents_to_disk: true
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caption_dropout_rate: 0.2
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caption_ext: txt
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folder_path: /root/lorahub/araminta_clippy2/dataset
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resolution:
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- 512
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- 768
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- 1024
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shuffle_tokens: false
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token_dropout_rate: 0.01
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device: cuda:0
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model:
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is_flux: true
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name_or_path: black-forest-labs/FLUX.1-dev
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quantize: true
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text_encoder_bits: 8
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network:
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linear: 24
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linear_alpha: 24
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transformer_only: true
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type: lora
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performance_log_every: 500
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sample:
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height: 1024
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neg: low quality, blurry
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prompts:
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- '[trigger] shouting ''hello world''! '
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- closeup of [trigger] smiling
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- '[trigger] wearing a red jacket and baggy pants'
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sample_every: 500
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sample_steps: 25
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sampler: flowmatch
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seed: 42
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walk_seed: true
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width: 1024
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save:
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dtype: float16
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max_step_saves_to_keep: 5
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save_every: 100
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save_format: diffusers
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train:
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batch_size: 1
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dtype: bf16
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ema_config:
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ema_decay: 0.99
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use_ema: true
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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linear_timesteps: true
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loss_type: mse
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lr: 0.0002
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noise_scheduler: flowmatch
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optimizer: adamw8bit
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reg_weight: 1.0
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steps: 2600
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target_noise_multiplier: 1.0
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train_text_encoder: false
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train_unet: true
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training_folder: /root/lorahub
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trigger_word: araminta
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type: sd_trainer
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job: extension
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