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> cat
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- custom-diffusion
+inference: true
+---
+    
+# Custom Diffusion - SidXXD/cat
+
+These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> cat 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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+adam_beta2: 0.999
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+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 250
+checkpoints_total_limit: null
+class_data_dir: ./real_reg/samples_cat
+class_prompt: cat
+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
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+initializer_token: ktn+pll+ucd
+instance_data_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/real_reg/samples_cat
+instance_prompt: photo of a <new1> cat
+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
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+num_class_images: 200
+num_train_epochs: 1
+num_validation_images: 2
+output_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/single-concept/cat
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
+prior_generation_precision: null
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