End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: SG161222/Realistic_Vision_V2.0
+instance_prompt: a photo of sks open window
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA DreamBooth - igastesi/model
+
+These are LoRA adaption weights for SG161222/Realistic_Vision_V2.0. The weights were trained on a photo of sks open window using [DreamBooth](https://dreambooth.github.io/). 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)
+
+
+LoRA for the text encoder was enabled: False.

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+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 500
+checkpoints_total_limit: null
+class_data_dir: null
+class_prompt: null
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hub_model_id: null
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+instance_data_dir: /usr/src/app/open_window
+instance_prompt: open window
+learning_rate: 5.0e-06
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_steps: 400
+mixed_precision: null
+num_class_images: 100
+num_train_epochs: 2
+num_validation_images: 4
+offset_noise: false
+output_dir: /usr/src/app/model
+pretrained_model_name_or_path: SG161222/Realistic_Vision_V2.0
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: true
+report_to: tensorboard
+resolution: 512
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+sample_batch_size: 4
+scale_lr: false
+seed: null
+set_grads_to_none: false
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+train_text_encoder: false
+use_8bit_adam: false
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