End of training
Browse files- README.md +2 -2
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1000/unet/config.json +61 -0
- checkpoint-1000/unet/diffusion_pytorch_model.bin +3 -0
- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/random_states_0.pkl +2 -2
- checkpoint-500/unet/diffusion_pytorch_model.bin +1 -1
- logs/dreambooth/1684089432.4109206/events.out.tfevents.1684089432.3c810d809111.16998.1 +3 -0
- logs/dreambooth/1684089432.490797/hparams.yml +52 -0
- logs/dreambooth/events.out.tfevents.1684089432.3c810d809111.16998.0 +3 -0
- unet/diffusion_pytorch_model.bin +1 -1
README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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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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# DreamBooth - AZhe1220/path-to-save-model
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This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of
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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: CompVis/stable-diffusion-v1-4
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+
instance_prompt: a photo of 174169 dress
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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# DreamBooth - AZhe1220/path-to-save-model
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+
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of 174169 dress using [DreamBooth](https://dreambooth.github.io/).
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You can find some example images in the following.
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checkpoint-1000/optimizer.bin
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checkpoint-1000/random_states_0.pkl
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checkpoint-1000/scheduler.bin
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checkpoint-1000/unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.17.0.dev0",
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"_name_or_path": "CompVis/stable-diffusion-v1-4",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"attention_head_dim": 8,
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"block_out_channels": [
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320,
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640,
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1280,
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1280
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 768,
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"cross_attention_norm": null,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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"projection_class_embeddings_input_dim": null,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"sample_size": 64,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_dim": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"up_block_types": [
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"UpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D",
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"CrossAttnUpBlock2D"
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],
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"upcast_attention": false,
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"use_linear_projection": false
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}
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checkpoint-1000/unet/diffusion_pytorch_model.bin
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size 3438375973
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checkpoint-500/optimizer.bin
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checkpoint-500/random_states_0.pkl
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checkpoint-500/unet/diffusion_pytorch_model.bin
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logs/dreambooth/1684089432.4109206/events.out.tfevents.1684089432.3c810d809111.16998.1
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logs/dreambooth/1684089432.490797/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: results/5-dress/path-to-class-images
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class_prompt: a photo of dress
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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: 1
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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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instance_data_dir: results/5-dress/dress
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instance_prompt: a photo of 174169 dress
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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: 1200
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mixed_precision: null
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num_class_images: 200
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num_train_epochs: 6
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+
num_validation_images: 4
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+
offset_noise: false
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+
output_dir: results/5-dress/path-to-save-model
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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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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tokenizer_name: null
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: false
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validation_prompt: null
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validation_steps: 100
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+
with_prior_preservation: true
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logs/dreambooth/events.out.tfevents.1684089432.3c810d809111.16998.0
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unet/diffusion_pytorch_model.bin
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