End of training

<new1>.bin

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README.md

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+
+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-2-1
+instance_prompt: a photo of <new1>
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- custom-diffusion
+inference: true
+---
+    
+# Custom Diffusion - briannlongzhao/fine_dining_custom_diffusion
+
+These are Custom Diffusion adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on a photo of <new1> using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following. 
+
+
+
+
+For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).

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logs/custom-diffusion/1700065679.6575491/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
+center_crop: false
+checkpointing_steps: 250
+checkpoints_total_limit: null
+class_data_dir: /home/v-enlongzhao/sdcoop-images/output/fine_dining_preserve_real
+class_prompt: a photo of fine dining
+concepts_list: null
+dataloader_num_workers: 2
+enable_xformers_memory_efficient_attention: false
+freeze_model: crossattn_kv
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+hflip: true
+hub_model_id: null
+hub_token: null
+initializer_token: ktn+pll+ucd
+instance_data_dir: /home/v-enlongzhao/sdcoop-images/images/fine_dining
+instance_prompt: a photo of <new1>
+learning_rate: 1.0e-05
+local_rank: -1
+logging_dir: logs
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_steps: 250
+mixed_precision: 'no'
+modifier_token: <new1>
+no_safe_serialization: true
+noaug: false
+num_class_images: 200
+num_train_epochs: 1
+num_validation_images: 2
+output_dir: /home/v-enlongzhao/sdcoop-images/models/fine_dining_custom_diffusion
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: true
+real_prior: true
+report_to: tensorboard
+resolution: 768
+resume_from_checkpoint: null
+revision: null
+sample_batch_size: 4
+scale_lr: true
+seed: 42
+set_grads_to_none: false
+tokenizer_name: null
+train_batch_size: 2
+use_8bit_adam: true
+validation_prompt: null
+validation_steps: 50
+with_prior_preservation: true

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