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End of training
Browse files- README.md +3 -8
- learned_embeds.safetensors +1 -1
- logs/textual_inversion/1706461812.0775876/events.out.tfevents.1706461812.node-0.2707.1 +3 -0
- logs/textual_inversion/1706461813.0556893/hparams.yml +50 -0
- logs/textual_inversion/1706473892.4330046/events.out.tfevents.1706473893.node-0.2767.1 +3 -0
- logs/textual_inversion/1706473896.2547681/hparams.yml +50 -0
- logs/textual_inversion/events.out.tfevents.1706461811.node-0.2707.0 +3 -0
- logs/textual_inversion/events.out.tfevents.1706473890.node-0.2767.0 +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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instance_prompt: a photo of <new1> front curtain
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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 Custom Diffusion adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on a photo of <new1> front curtain 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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---
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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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- textual_inversion
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inference: true
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---
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# Textual inversion text2image fine-tuning - briannlongzhao/85
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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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learned_embeds.safetensors
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size 4216
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logs/textual_inversion/1706461812.0775876/events.out.tfevents.1706461812.node-0.2707.1
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version https://git-lfs.github.com/spec/v1
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logs/textual_inversion/1706461813.0556893/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_name: front curtain
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: true
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gradient_accumulation_steps: 4
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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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idx: 85
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initializer_token: front curtain
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learnable_property: object
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learning_rate: 0.008
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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_scheduler: constant
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lr_warmup_steps: 0
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max_train_steps: 35
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mixed_precision: fp16
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no_safe_serialization: false
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num_train_epochs: 5
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num_validation_images: 4
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num_vectors: 1
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output_dir: /mnt/default/textual_inversion_models_medium/85
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placeholder_token: <front curtain>
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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push_to_hub: true
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repeats: 1
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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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save_as_full_pipeline: false
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save_steps: 500
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scale_lr: true
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seed: null
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tokenizer_name: null
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train_batch_size: 4
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train_data_dir: /mnt/default/imagenet/images/train_medium/n04418357
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validation_epochs: null
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validation_prompt: null
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validation_steps: 100
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wnid: n04418357
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logs/textual_inversion/1706473892.4330046/events.out.tfevents.1706473893.node-0.2767.1
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size 2520
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logs/textual_inversion/1706473896.2547681/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_name: front curtain
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: true
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gradient_accumulation_steps: 4
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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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idx: 85
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initializer_token: front curtain
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learnable_property: object
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learning_rate: 0.008
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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_scheduler: constant
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lr_warmup_steps: 0
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max_train_steps: 35
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mixed_precision: fp16
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no_safe_serialization: false
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num_train_epochs: 5
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+
num_validation_images: 4
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+
num_vectors: 1
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+
output_dir: /mnt/default/textual_inversion_models_medium/85
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+
placeholder_token: <front curtain>
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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+
push_to_hub: true
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+
repeats: 1
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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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save_as_full_pipeline: false
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save_steps: 500
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scale_lr: true
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seed: null
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+
tokenizer_name: null
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+
train_batch_size: 4
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train_data_dir: /mnt/default/imagenet/images/train_medium/n04418357
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+
validation_epochs: null
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+
validation_prompt: null
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+
validation_steps: 100
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+
wnid: n04418357
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logs/textual_inversion/events.out.tfevents.1706461811.node-0.2707.0
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logs/textual_inversion/events.out.tfevents.1706473890.node-0.2767.0
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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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"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": "float32",
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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": "/
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"act_fn": "silu",
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"block_out_channels": [
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{
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"_class_name": "AutoencoderKL",
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"_name_or_path": "stabilityai/stable-diffusion-2-1",
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"block_out_channels": [
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vae/diffusion_pytorch_model.safetensors
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