End of training
Browse files- README.md +23 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scaler.pt +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- logs/text2image-fine-tune/1695119423.7386537/events.out.tfevents.1695119423.vertex-gpu-t.68765.1 +3 -0
- logs/text2image-fine-tune/1695119423.7402008/hparams.yml +51 -0
- logs/text2image-fine-tune/events.out.tfevents.1695119423.vertex-gpu-t.68765.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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dataset: None
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- lora
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inference: true
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---
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# LoRA text2image fine-tuning - dbecker1/test_lora_mdl3
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the None dataset. You can find some example images in the following.
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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checkpoint-1000/optimizer.bin
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checkpoint-1500/scaler.pt
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logs/text2image-fine-tune/1695119423.7402008/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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allow_tf32: false
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cache_dir: null
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caption_column: text
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center_crop: false
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checkpointing_steps: 500
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checkpoints_total_limit: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: null
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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image_column: image
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learning_rate: 0.0001
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local_rank: -1
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logging_dir: logs
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_samples: null
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max_train_steps: 1510
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mixed_precision: fp16
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noise_offset: 0
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num_train_epochs: 2
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num_validation_images: 4
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output_dir: test_lora_mdl3
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prediction_type: null
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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push_to_hub: true
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random_flip: true
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rank: 4
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report_to: tensorboard
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resolution: 1024
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resume_from_checkpoint: null
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revision: null
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scale_lr: false
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seed: 42
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snr_gamma: null
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train_batch_size: 1
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train_data_dir: ./lora_training_data/guide_image_from_csv
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train_text_encoder: false
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use_8bit_adam: false
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validation_epochs: 1
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validation_prompt: null
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logs/text2image-fine-tune/events.out.tfevents.1695119423.vertex-gpu-t.68765.0
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pytorch_lora_weights.safetensors
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