briannlongzhao
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End of training
Browse files- README.md +8 -3
- logs/dreambooth/1706380765.8379774/events.out.tfevents.1706380765.node-0.2658.1 +3 -0
- logs/dreambooth/1706380766.2900498/hparams.yml +62 -0
- logs/dreambooth/events.out.tfevents.1706380765.node-0.2658.0 +3 -0
- text_encoder/config.json +2 -2
- text_encoder/model.safetensors +2 -2
- unet/diffusion_pytorch_model.safetensors +2 -2
- vae/config.json +1 -1
- vae/diffusion_pytorch_model.safetensors +2 -2
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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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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inference: true
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---
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#
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These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1. You can find some example images in the following.
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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 sks
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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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- dreambooth
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inference: true
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---
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# DreamBooth - briannlongzhao/97
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This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights were trained on a photo of sks using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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DreamBooth for the text encoder was enabled: False.
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logs/dreambooth/1706380765.8379774/events.out.tfevents.1706380765.node-0.2658.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a27ddb5fbd2562a59005203087a02df53e3c223cb22b9e73676ef21abefae7b
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size 2968
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logs/dreambooth/1706380766.2900498/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: 500
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checkpoints_total_limit: null
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class_data_dir: null
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class_labels_conditioning: null
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class_name: chocolate syrup
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class_prompt: null
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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idx: 97
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instance_data_dir: /mnt/default/imagenet/images/train_small/n07836838
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instance_prompt: a photo of sks
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learning_rate: 5.0e-06
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local_rank: -1
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logging_dir: logs
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lr_num_cycles: 1
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lr_power: 1.0
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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: 15
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mixed_precision: fp16
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num_class_images: 100
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num_train_epochs: 5
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num_validation_images: 4
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offset_noise: false
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output_dir: /mnt/default/dreambooth_models/97
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pre_compute_text_embeddings: false
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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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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: false
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seed: null
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set_grads_to_none: false
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skip_save_text_encoder: false
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snr_gamma: null
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text_encoder_use_attention_mask: false
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tokenizer_max_length: null
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tokenizer_name: null
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train_batch_size: 4
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train_text_encoder: false
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use_8bit_adam: true
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validation_prompt: null
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validation_scheduler: DPMSolverMultistepScheduler
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validation_steps: 100
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with_prior_preservation: false
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wnid: n07836838
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logs/dreambooth/events.out.tfevents.1706380765.node-0.2658.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ef720835d36afb108af939f872443c947a756d49767e33eff192f5b3044d38c
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size 1318
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text_encoder/config.json
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"num_hidden_layers": 23,
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"pad_token_id": 1,
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"projection_dim": 512,
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"torch_dtype": "
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"transformers_version": "4.28.1",
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"vocab_size":
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}
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"num_hidden_layers": 23,
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"pad_token_id": 1,
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"projection_dim": 512,
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"torch_dtype": "float16",
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"transformers_version": "4.28.1",
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"vocab_size": 49408
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}
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text_encoder/model.safetensors
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unet/diffusion_pytorch_model.safetensors
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.25.1",
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"_name_or_path": "stabilityai
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"act_fn": "silu",
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"block_out_channels": [
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128,
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.25.1",
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"_name_or_path": "/home/aiscuser/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1/snapshots/5cae40e6a2745ae2b01ad92ae5043f95f23644d6/vae",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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vae/diffusion_pytorch_model.safetensors
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