End of training
Browse files- <v1*>.bin +3 -0
- README.md +22 -0
- concepts_list.json +1 -0
- logs/custom-diffusion/1736267626.216506/events.out.tfevents.1736267626.cudahpc06.261498.1 +3 -0
- logs/custom-diffusion/1736267626.2182562/hparams.yml +60 -0
- logs/custom-diffusion/events.out.tfevents.1736267626.cudahpc06.261498.0 +3 -0
- pytorch_custom_diffusion_weights.bin +3 -0
<v1*>.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7709640af438532104abca3d3118dd94f4a1c87535a9a2e3d0f02b44a67ab7f1
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size 151785125
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README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: photo of a <v1*> painting
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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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# Custom Diffusion - SidXXD/Impressionism
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These are Custom Diffusion adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on photo of a <v1*> painting using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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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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concepts_list.json
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[{"instance_prompt": "photo of a <v1*> painting", "class_prompt": null, "instance_data_dir": "/home/xide/miniconda3/code/Results_for_paper/Untarget_attack/perturbed_imgs/20_for_each_concept/WikiArt/ACE_lunet/Eps_4/Impressionism/noise-ckpt/5", "class_data_dir": null}]
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logs/custom-diffusion/1736267626.216506/events.out.tfevents.1736267626.cudahpc06.261498.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:bca167272fd37002163a058d2529e18b738565e4e23b1166be2fbe0b69c2c500
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size 3057
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logs/custom-diffusion/1736267626.2182562/hparams.yml
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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/Results_for_paper/Untarget_attack/perturbed_imgs/20_for_each_concept/WikiArt/ACE_lunet/Eps_4/Impressionism/noise-ckpt/5
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instance_prompt: photo of a <v1*> painting
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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: <v1*>
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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/Results_for_paper/Untarget_attack/Trained_model/Custom_Diffusion/Untarget_training_img_20/WikiArt/ACE_lunet/Eps_4/Impressionism
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photoguard: false
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photoguard_mode: encoder
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pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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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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logs/custom-diffusion/events.out.tfevents.1736267626.cudahpc06.261498.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef2db15a84c25db6e282c82e34fb1558fa0cc50dbb9a8165ed40d8ff7d307869
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size 20834
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pytorch_custom_diffusion_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:96f5953accfaeb5050aad219dd08a5a5d90ab9f2fd4efc54dcc732dad36c12f3
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size 76691351
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