End of training
Browse files- README.md +8 -3
- checkpoint-500/optimizer.bin +1 -1
- checkpoint-500/random_states_0.pkl +2 -2
- checkpoint-500/unet/config.json +1 -1
- checkpoint-500/unet/diffusion_pytorch_model.safetensors +1 -1
- feature_extractor/preprocessor_config.json +17 -0
- logs/dreambooth/1711377956.5699549/events.out.tfevents.1711377956.jupyter-user1.302.1 +3 -0
- logs/dreambooth/1711377956.5714219/hparams.yml +60 -0
- logs/dreambooth/events.out.tfevents.1711377956.jupyter-user1.302.0 +3 -0
- model_index.json +1 -1
- scheduler/scheduler_config.json +1 -1
- text_encoder/config.json +1 -1
- unet/config.json +1 -1
- unet/diffusion_pytorch_model.safetensors +1 -1
- vae/config.json +3 -1
README.md
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---
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license: creativeml-openrail-m
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instance_prompt: a photo of [v]dog
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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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---
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license: creativeml-openrail-m
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library_name: diffusers
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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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- text-to-image
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- dreambooth
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- diffusers-training
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- stable-diffusion
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- stable-diffusion-diffusers
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base_model: stabilityai/stable-diffusion-2-1
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instance_prompt: a photo of [v]dog
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inference: true
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---
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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/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.
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"_name_or_path": "stabilityai/stable-diffusion-2-1",
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"act_fn": "silu",
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checkpoint-500/unet/diffusion_pytorch_model.safetensors
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feature_extractor/preprocessor_config.json
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{
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"crop_size": {
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"_valid_processor_keys": [
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"rescale_factor",
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"do_normalize",
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"image_mean",
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"image_std",
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"return_tensors",
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logs/dreambooth/1711377956.5699549/events.out.tfevents.1711377956.jupyter-user1.302.1
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logs/dreambooth/1711377956.5714219/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_prompt: null
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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: true
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| 16 |
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hub_model_id: null
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| 17 |
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hub_token: null
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| 18 |
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instance_data_dir: dog
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| 19 |
+
instance_prompt: a photo of [v]dog
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| 20 |
+
learning_rate: 1.0e-06
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| 21 |
+
local_rank: -1
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| 22 |
+
logging_dir: logs
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| 23 |
+
lr_num_cycles: 1
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lr_power: 1.0
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lr_scheduler: constant
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| 26 |
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lr_warmup_steps: 0
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| 27 |
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max_grad_norm: 1.0
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| 28 |
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max_train_steps: 800
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| 29 |
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mixed_precision: null
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num_class_images: 100
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num_train_epochs: 160
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num_validation_images: 4
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+
offset_noise: false
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+
output_dir: dogbooth
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pre_compute_text_embeddings: false
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| 36 |
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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| 37 |
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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: 768
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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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| 48 |
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skip_save_text_encoder: false
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| 49 |
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snr_gamma: null
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| 50 |
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text_encoder_use_attention_mask: false
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| 51 |
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tokenizer_max_length: null
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tokenizer_name: null
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| 53 |
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train_batch_size: 1
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train_text_encoder: false
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use_8bit_adam: true
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| 56 |
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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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variant: null
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with_prior_preservation: false
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logs/dreambooth/events.out.tfevents.1711377956.jupyter-user1.302.0
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size 66986
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model_index.json
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@@ -1,6 +1,6 @@
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{
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"_class_name": "StableDiffusionPipeline",
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| 3 |
-
"_diffusers_version": "0.
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| 4 |
"_name_or_path": "stabilityai/stable-diffusion-2-1",
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"feature_extractor": [
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"transformers",
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| 1 |
{
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| 2 |
"_class_name": "StableDiffusionPipeline",
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| 3 |
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"_diffusers_version": "0.28.0.dev0",
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| 4 |
"_name_or_path": "stabilityai/stable-diffusion-2-1",
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"feature_extractor": [
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"transformers",
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scheduler/scheduler_config.json
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{
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"_class_name": "DDIMScheduler",
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-
"_diffusers_version": "0.
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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| 6 |
"beta_start": 0.00085,
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{
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"_class_name": "DDIMScheduler",
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text_encoder/config.json
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@@ -20,6 +20,6 @@
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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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-
"transformers_version": "4.
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"vocab_size": 49408
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}
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| 20 |
"pad_token_id": 1,
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| 21 |
"projection_dim": 512,
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| 22 |
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"transformers_version": "4.39.1",
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"vocab_size": 49408
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}
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unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.
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"_name_or_path": "stabilityai/stable-diffusion-2-1",
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"act_fn": "silu",
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"addition_embed_type": null,
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{
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unet/diffusion_pytorch_model.safetensors
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size 3463726504
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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.
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"act_fn": "silu",
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"block_out_channels": [
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