End of training

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README.md

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 ---
 license: creativeml-openrail-m
 base_model: CompVis/stable-diffusion-v1-4
-instance_prompt: photo of a <new1> morning glory--output_dir=./model/single-F-5-morning-glory-FLOWER-2
+instance_prompt: photo of a <new1> morning glory--output_dir=model/single-F-5-morning-glory-FLOWER-2
 tags:
 - stable-diffusion
 - stable-diffusion-diffusers
@@ -14,7 +14,7 @@ inference: true
     
 # Custom Diffusion - SidXXD/custom-diffusion-model
 
-These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> morning glory--output_dir=./model/single-F-5-morning-glory-FLOWER-2 using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following. 
+These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> morning glory--output_dir=model/single-F-5-morning-glory-FLOWER-2 using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following. 
 
 
 

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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: null
+class_prompt: null
+concepts_list: null
+dataloader_num_workers: 2
+enable_xformers_memory_efficient_attention: false
+freeze_model: crossattn_kv
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hflip: true
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+initializer_token: ktn+pll+ucd
+instance_data_dir: ./data/flowers/flw_1
+instance_prompt: photo of a <new1> morning glory--output_dir=model/single-F-5-morning-glory-FLOWER-2
+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: null
+modifier_token: <new1>
+no_safe_serialization: true
+noaug: false
+num_class_images: 200
+num_train_epochs: 1
+num_validation_images: 2
+output_dir: custom-diffusion-model
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
+prior_generation_precision: null
+prior_loss_weight: 0.0
+push_to_hub: true
+real_prior: false
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
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+sample_batch_size: 4
+scale_lr: true
+seed: 42
+set_grads_to_none: false
+tokenizer_name: null
+train_batch_size: 2
+use_8bit_adam: false
+validation_prompt: null
+validation_steps: 50
+variant: null
+with_prior_preservation: false

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