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test_for_wutao

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End of training

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  2. All_layer_embeds_SD_v1_5/Embeds_layer_10_UpBLock_modified.pt +3 -0
  3. All_layer_embeds_SD_v1_5/Embeds_layer_11_UpBLock.pt +3 -0
  4. All_layer_embeds_SD_v1_5/Embeds_layer_12_UpBLock_modified.pt +3 -0
  5. All_layer_embeds_SD_v1_5/Embeds_layer_13_UpBLock.pt +3 -0
  6. All_layer_embeds_SD_v1_5/Embeds_layer_14_UpBLock_modified.pt +3 -0
  7. All_layer_embeds_SD_v1_5/Embeds_layer_15_Conv_out.pt +3 -0
  8. All_layer_embeds_SD_v1_5/Embeds_layer_16_Conv_out_modified.pt +3 -0
  9. All_layer_embeds_SD_v1_5/Embeds_layer_1_Conv_in.pt +3 -0
  10. All_layer_embeds_SD_v1_5/Embeds_layer_2_DownBLock.pt +3 -0
  11. All_layer_embeds_SD_v1_5/Embeds_layer_3_DownBLock.pt +3 -0
  12. All_layer_embeds_SD_v1_5/Embeds_layer_4_DownBLock.pt +3 -0
  13. All_layer_embeds_SD_v1_5/Embeds_layer_5_DownBLock.pt +3 -0
  14. All_layer_embeds_SD_v1_5/Embeds_layer_6_MidBlock.pt +3 -0
  15. All_layer_embeds_SD_v1_5/Embeds_layer_7_UpBLock.pt +3 -0
  16. All_layer_embeds_SD_v1_5/Embeds_layer_8_UpBLock_modified.pt +3 -0
  17. All_layer_embeds_SD_v1_5/Embeds_layer_9_UpBLock.pt +3 -0
  18. README.md +22 -0
  19. logs/custom-diffusion/1742485549.5663068/events.out.tfevents.1742485549.cudahpc06.3032548.1 +3 -0
  20. logs/custom-diffusion/1742485549.5685432/hparams.yml +58 -0
  21. logs/custom-diffusion/events.out.tfevents.1742485549.cudahpc06.3032548.0 +3 -0
  22. pytorch_custom_diffusion_weights.bin +3 -0
  23. sks.bin +3 -0
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README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: CompVis/stable-diffusion-v1-4
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+ instance_prompt: photo of a sks cat
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - custom-diffusion
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+ inference: true
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+ ---
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+
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+ # Custom Diffusion - SidXXD/test_for_wutao
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+
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+ These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a sks cat using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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+
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+
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+
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+
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+ 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_beta1: 0.9
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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.01
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+ allow_tf32: false
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+ attn_maps_path_name: attn_maps_color
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+ center_crop: false
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+ checkpointing_steps: 250
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+ checkpoints_total_limit: null
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+ class_data_dir: null
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+ class_prompt: null
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+ concepts_list: null
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+ dataloader_num_workers: 2
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+ enable_xformers_memory_efficient_attention: false
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+ freeze_model: crossattn_kv
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: false
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+ hflip: true
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+ hub_model_id: null
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+ hub_token: null
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+ initializer_token: ktn
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+ instance_data_dir: /home/xide/miniconda3/code/data/benchmark_dataset/pet_cat1
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+ instance_prompt: photo of a sks cat
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+ learning_rate: 1.0e-05
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+ local_rank: -1
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+ logging_dir: logs
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+ lr_scheduler: constant
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ max_train_steps: 250
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+ mixed_precision: null
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+ modifier_token: sks
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+ no_safe_serialization: true
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+ noaug: false
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+ num_class_images: 200
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+ num_train_epochs: 1
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+ num_validation_images: 2
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+ output_dir: /home/xide/miniconda3/code/diffusers_old/examples/custom_diffusion/model/test_for_wutao/
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+ pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+ prior_generation_precision: null
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+ prior_loss_weight: 0
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+ push_to_hub: true
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+ real_prior: false
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+ report_to: tensorboard
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+ resolution: 512
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+ resume_from_checkpoint: null
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+ revision: null
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+ sample_batch_size: 4
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+ scale_lr: true
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+ seed: 42
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+ set_grads_to_none: false
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+ tokenizer_name: null
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+ train_batch_size: 2
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+ use_8bit_adam: false
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+ validation_prompt: null
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+ validation_steps: 50
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+ variant: null
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+ with_prior_preservation: false
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