End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-2-1
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA text2image fine-tuning - bharadwajkg/finetune-stable-diffusion-2-1-planogram-lora
+These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were fine-tuned on the bharadwajkg/planogram-sample-sd-data3 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-500/optimizer.bin

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checkpoint-500/pytorch_model.bin

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checkpoint-500/random_states_0.pkl

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checkpoint-500/scaler.pt

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checkpoint-500/scheduler.bin

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logs/text2image-fine-tune/1689678310.3523152/events.out.tfevents.1689678310.f9bda9447956.160.1

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logs/text2image-fine-tune/1689678310.3551502/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: 500
+checkpoints_total_limit: null
+dataloader_num_workers: 2
+dataset_config_name: null
+dataset_name: bharadwajkg/planogram-sample-sd-data3
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: null
+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: 500
+mixed_precision: null
+noise_offset: 0
+num_train_epochs: 100
+num_validation_images: 4
+output_dir: finetune-stable-diffusion-2-1-planogram-lora
+prediction_type: null
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
+push_to_hub: true
+random_flip: false
+rank: 4
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: 1337
+snr_gamma: null
+train_batch_size: 1
+train_data_dir: null
+use_8bit_adam: false
+validation_epochs: 1
+validation_prompt: A high quality image of a shelf in retail store with 5 racks. First
+  rack at the top contains 4 yellow color boxes of cornflakes. Second rack below that
+  is empty. Third rack below that contains 5 red color packets of  oats. Fourth rack
+  below that contains 4  blue color packets of oats. Fifth rack below that contains
+  3 brown color jars of chocolate and 2 red color bottles of ketchup.

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pytorch_lora_weights.bin

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