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config: |
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name: youtube_thumbnail_lora |
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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/youtube_thumbnail_lora/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: 42 |
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linear_alpha: 42 |
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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: 768 |
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neg: low quality, blurry |
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prompts: |
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- '[trigger], an android robot smiling and showing a phone screen which says |
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''GLIF.APP''' |
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- '[trigger], a man with a surprised expression, there is the title text that |
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says ''HOW TO USE GLIF!'', there are many humanoid robots in the background' |
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- '[trigger], a man in a boxing match with a humanoid robot, the title says |
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''WHO WILL WIN?''' |
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- '[trigger], a huge humanoid robot with red eyes walking in a destroyed city |
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with fire, the title says ''THEY ARE COMING''' |
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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: 1344 |
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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: 1500 |
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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: youtube thumbnail |
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type: sd_trainer |
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job: extension |
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