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 - diksha13/arrivae-lora-subset-ver3
+These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the diksha13/lora-subset-ver2-augmented 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)
+

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logs/text2image-fine-tune/1706006558.551654/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: text
+center_crop: true
+checkpointing_steps: 30
+checkpoints_total_limit: null
+dataloader_num_workers: 4
+dataset_config_name: null
+dataset_name: diksha13/lora-subset-ver2-augmented
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: arrivae-lora-subset-ver3
+hub_token: null
+image_column: image
+learning_rate: 0.0001
+local_rank: 0
+logging_dir: logs
+lr_scheduler: cosine
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 73
+mixed_precision: null
+noise_offset: 0
+num_train_epochs: 15
+num_validation_images: 4
+output_dir: /kaggle/working/examples
+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: 512
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: 76865768
+snr_gamma: null
+train_batch_size: 1
+train_data_dir: null
+use_8bit_adam: false
+validation_epochs: 1
+validation_prompt: An emily flared arm three seater dark green sofa. It has 4 short
+  wooden legs.The sofa is placed in a room with white walls. This is a frontal view
+  of the sofa. Photorealistic, camera shot picture.
+variant: null

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