End of training

.gitattributes

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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> dog
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- custom-diffusion
+inference: true
+---
+    
+# Custom Diffusion - SidXXD/test4crossattentionmap-mist-0
+
+These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog 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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concepts_list.json

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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: dog
+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
+hub_model_id: null
+hub_token: null
+initializer_token: ktn+pll+ucd
+instance_data_dir: /home/xide/miniconda3/code/Attack/mist2-wk/data/single/attacked-target/mist/mask_0/pgd_eps_8
+instance_prompt: photo of a <new1> dog
+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: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/test4crossattentionmap-mist-0
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
+prior_generation_precision: null
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+resolution: 512
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+seed: 42
+set_grads_to_none: false
+tokenizer_name: null
+train_batch_size: 2
+use_8bit_adam: false
+validation_prompt: null
+validation_steps: 50
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