End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: runwayml/stable-diffusion-v1-5
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA text2image fine-tuning - rrw23/pets7
+These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the pcuenq/oxford-pets dataset. You can find some example images in the following. 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+

checkpoint-5000/optimizer.bin

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checkpoint-5000/pytorch_model.bin

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checkpoint-5000/random_states_0.pkl

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checkpoint-5000/scaler.pt

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checkpoint-5000/scheduler.bin

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logs/text2image-fine-tune/1701031775.397099/events.out.tfevents.1701031775.65c2f4c3a549.3166.1

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logs/text2image-fine-tune/1701031775.3987389/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+cache_dir: null
+caption_column: label
+center_crop: true
+checkpointing_steps: 500
+checkpoints_total_limit: null
+dataloader_num_workers: 8
+dataset_config_name: null
+dataset_name: pcuenq/oxford-pets
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: pets7
+hub_token: null
+image_column: image
+learning_rate: 0.0001
+local_rank: -1
+logging_dir: logs
+lr_scheduler: cosine
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 5000
+mixed_precision: null
+noise_offset: 0
+num_train_epochs: 44
+num_validation_images: 4
+output_dir: /content/gdrive/MyDrive/
+prediction_type: null
+pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
+push_to_hub: true
+random_flip: true
+rank: 4
+report_to: tensorboard
+resolution: 128
+resume_from_checkpoint: latest
+revision: null
+scale_lr: false
+seed: 1337
+snr_gamma: null
+train_batch_size: 16
+train_data_dir: null
+use_8bit_adam: false
+validation_epochs: 1
+validation_prompt: Totoro

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pytorch_lora_weights.safetensors

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