End of training
Browse files- <v1*>.bin +3 -0
- README.md +22 -0
- checkpoint-250/custom_checkpoint_0.pkl +3 -0
- checkpoint-250/model.safetensors +3 -0
- checkpoint-250/model_1.safetensors +3 -0
- checkpoint-250/optimizer.bin +3 -0
- checkpoint-250/random_states_0.pkl +3 -0
- checkpoint-250/scheduler.bin +3 -0
- concepts_list.json +1 -0
- logs/custom-diffusion/1728750250.3036997/events.out.tfevents.1728750250.cudahpc06.1927271.1 +3 -0
- logs/custom-diffusion/1728750250.3053586/hparams.yml +62 -0
- logs/custom-diffusion/1728750419.41712/events.out.tfevents.1728750419.cudahpc06.1928421.1 +3 -0
- logs/custom-diffusion/1728750419.4186776/hparams.yml +62 -0
- logs/custom-diffusion/1728750513.964981/events.out.tfevents.1728750513.cudahpc06.1928920.1 +3 -0
- logs/custom-diffusion/1728750513.9666674/hparams.yml +62 -0
- logs/custom-diffusion/1728750651.4040031/events.out.tfevents.1728750651.cudahpc06.1929432.1 +3 -0
- logs/custom-diffusion/1728750651.4056041/hparams.yml +62 -0
- logs/custom-diffusion/1728750776.0738842/events.out.tfevents.1728750776.cudahpc06.1929922.1 +3 -0
- logs/custom-diffusion/1728750776.0758572/hparams.yml +62 -0
- logs/custom-diffusion/1728750819.2419095/events.out.tfevents.1728750819.cudahpc06.1930401.1 +3 -0
- logs/custom-diffusion/1728750819.2434707/hparams.yml +62 -0
- logs/custom-diffusion/1728750866.9355114/events.out.tfevents.1728750866.cudahpc06.1930893.1 +3 -0
- logs/custom-diffusion/1728750866.9370978/hparams.yml +62 -0
- logs/custom-diffusion/1728751101.5767365/events.out.tfevents.1728751101.cudahpc06.1964599.1 +3 -0
- logs/custom-diffusion/1728751101.5784247/hparams.yml +62 -0
- logs/custom-diffusion/events.out.tfevents.1728750250.cudahpc06.1927271.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1728750419.cudahpc06.1928421.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1728750513.cudahpc06.1928920.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1728750651.cudahpc06.1929432.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1728750776.cudahpc06.1929922.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1728750819.cudahpc06.1930401.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1728750866.cudahpc06.1930893.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1728751101.cudahpc06.1964599.0 +3 -0
- pytorch_custom_diffusion_weights.bin +3 -0
<v1*>.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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README.md
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-2-1-base
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instance_prompt: photo of a <v1*> person
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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/1-trained_clean_model-man_1
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These are Custom Diffusion adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on photo of a <v1*> person 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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checkpoint-250/custom_checkpoint_0.pkl
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concepts_list.json
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[{"instance_prompt": "photo of a <v1*> person", "class_prompt": null, "instance_data_dir": "/home/xide/miniconda3/code/data/data4ECCV2024/man/1", "class_data_dir": null}]
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logs/custom-diffusion/1728750250.3036997/events.out.tfevents.1728750250.cudahpc06.1927271.1
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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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attn_maps_path_name: attn_maps_color
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instance_prompt: photo of a <v1*> person
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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/diffusers/examples/custom_diffusion/model/for-Sandesh/two_step-encoder_attack/1-trained_clean_model-man_1
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photoguard: false
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photoguard_mode: encoder
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
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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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