End of training
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<new1>.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:afcac6d031e0cfc1e04a54f6016f16403bbeb82c424c04bb0036c46ef79ead0d
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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
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instance_prompt: a photo of
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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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-
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inference: true
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---
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#
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-
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You can find some example images in the following.
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-
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---
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license: creativeml-openrail-m
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base_model: stabilityai/stable-diffusion-2-1
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instance_prompt: a photo of <new1> cauliflower
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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 - briannlongzhao/94
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These are Custom Diffusion adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on a photo of <new1> cauliflower 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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logs/custom-diffusion/1706385866.1589532/events.out.tfevents.1706385866.node-0.2629.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:9213fb908f378c3fe49ac599eed7ad224e107ce961d4d6a4f0b8a074277ff83e
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size 2802
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logs/custom-diffusion/1706385866.618257/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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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_name: cauliflower
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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: true
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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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idx: 94
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initializer_token: ktn+pll+ucd
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instance_data_dir: /mnt/default/imagenet/images/train_small/n07715103
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instance_prompt: a photo of <new1> cauliflower
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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: null
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mixed_precision: fp16
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modifier_token: <new1>
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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: 5
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num_validation_images: 2
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output_dir: /mnt/default/custom_diffusion_models_small/94
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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prior_generation_precision: null
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prior_loss_weight: 1.0
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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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| 50 |
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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: 4
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+
use_8bit_adam: true
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validation_prompt: null
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+
validation_steps: 50
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with_prior_preservation: false
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+
wnid: n07715103
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logs/custom-diffusion/events.out.tfevents.1706385866.node-0.2629.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:54a81fa94d72f592fd719acd7e8c07a040dbdc0a85bcbfc734991fceb34bfcec
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size 1318
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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:b252a3b61a3f738380ac0e5099ccc5cb3eadaa9948adf3ebf334b70cbf02fc3e
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size 102250391
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