End of training

README.md

@@ -2,16 +2,21 @@
 ---
 license: creativeml-openrail-m
 base_model: stabilityai/stable-diffusion-2-1
+instance_prompt: a photo of sks Shih Tzu
 tags:
 - stable-diffusion
 - stable-diffusion-diffusers
 - text-to-image
 - diffusers
-- textual_inversion
+- dreambooth
 inference: true
 ---
     
-# Textual inversion text2image fine-tuning - briannlongzhao/14
-These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1. You can find some example images in the following. 
+# DreamBooth - briannlongzhao/14
 
+This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights were trained on a photo of sks Shih Tzu using [DreamBooth](https://dreambooth.github.io/).
+You can find some example images in the following. 
 
+
+
+DreamBooth for the text encoder was enabled: False.

logs/dreambooth/1706387472.027918/events.out.tfevents.1706387472.node-0.2640.1

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+size 2976

logs/dreambooth/1706387472.4478672/hparams.yml

@@ -0,0 +1,62 @@
+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 500
+checkpoints_total_limit: null
+class_data_dir: null
+class_labels_conditioning: null
+class_name: Shih Tzu
+class_prompt: null
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+idx: 14
+instance_data_dir: /mnt/default/imagenet/images/train_small/n02086240
+instance_prompt: a photo of sks Shih Tzu
+learning_rate: 5.0e-06
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_steps: 15
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 5
+num_validation_images: 4
+offset_noise: false
+output_dir: /mnt/default/dreambooth_models_small/14
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: true
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+sample_batch_size: 4
+scale_lr: false
+seed: null
+set_grads_to_none: false
+skip_save_text_encoder: false
+snr_gamma: null
+text_encoder_use_attention_mask: false
+tokenizer_max_length: null
+tokenizer_name: null
+train_batch_size: 4
+train_text_encoder: false
+use_8bit_adam: true
+validation_prompt: null
+validation_scheduler: DPMSolverMultistepScheduler
+validation_steps: 100
+with_prior_preservation: false
+wnid: n02086240

logs/dreambooth/events.out.tfevents.1706387471.node-0.2640.0

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text_encoder/config.json

@@ -19,7 +19,7 @@
   "num_hidden_layers": 23,
   "pad_token_id": 1,
   "projection_dim": 512,
-  "torch_dtype": "float32",
+  "torch_dtype": "float16",
   "transformers_version": "4.28.1",
-  "vocab_size": 49409
+  "vocab_size": 49408
 }

text_encoder/model.safetensors

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unet/diffusion_pytorch_model.safetensors

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vae/config.json

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 {
   "_class_name": "AutoencoderKL",
   "_diffusers_version": "0.25.1",
-  "_name_or_path": "stabilityai/stable-diffusion-2-1",
+  "_name_or_path": "/home/aiscuser/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1/snapshots/5cae40e6a2745ae2b01ad92ae5043f95f23644d6/vae",
   "act_fn": "silu",
   "block_out_channels": [
     128,

vae/diffusion_pytorch_model.safetensors

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