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-sd2-1-planogram-lora-data5
+These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were fine-tuned on the bharadwajkg/planogram-sd-data5 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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+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: false
+checkpointing_steps: 1000
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+dataloader_num_workers: 2
+dataset_config_name: null
+dataset_name: bharadwajkg/planogram-sd-data5
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: null
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+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: 67
+num_validation_images: 4
+output_dir: finetune-sd2-1-planogram-lora-data5
+prediction_type: null
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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+rank: 4
+report_to: tensorboard
+resolution: 512
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+seed: 1337
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+use_8bit_adam: false
+validation_epochs: 1
+validation_prompt: A rack with 5 Shelf rows, first row 5 yellow Corn Flakes boxes,
+  second row 3 brown Chocos boxes, third row 3 red oats packets, fourth row 4 blue
+  Oats packets, fifth row 4 brown chocolate jars and 3 red Ketchup bottles

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