End of training

README.md

@@ -2,7 +2,7 @@
 ---
 license: creativeml-openrail-m
 base_model: stabilityai/stable-diffusion-2-1
-instance_prompt: a photo of sks katsushika hokusai
+instance_prompt: a photo of sks can
 tags:
 - stable-diffusion
 - stable-diffusion-diffusers
@@ -14,7 +14,7 @@ inference: true
     
 # DreamBooth - briannlongzhao/dreambooth
 
-This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights were trained on a photo of sks katsushika hokusai using [DreamBooth](https://dreambooth.github.io/).
+This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights were trained on a photo of sks can using [DreamBooth](https://dreambooth.github.io/).
 You can find some example images in the following. 
 
 

checkpoint-500/optimizer.bin

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checkpoint-500/random_states_0.pkl

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 size 14663

checkpoint-500/unet/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.25.1",
+  "_diffusers_version": "0.27.2",
   "_name_or_path": "stabilityai/stable-diffusion-2-1",
   "act_fn": "silu",
   "addition_embed_type": null,

checkpoint-500/unet/diffusion_pytorch_model.safetensors

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 size 3463726504

logs/dreambooth/1715646064.1107917/events.out.tfevents.1715646064.node-0.2684.1

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logs/dreambooth/1715646064.9324596/hparams.yml

@@ -0,0 +1,60 @@
+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_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: null
+instance_data_dir: /mnt/default/dreambooth_dataset/can/
+instance_prompt: a photo of sks can
+learning_rate: 5.0e-06
+local_rank: 0
+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: 800
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 134
+num_validation_images: 4
+offset_noise: false
+output_dir: /mnt/default/dreambooth_dataset_text_edit_models/can/dreambooth
+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: 1
+train_text_encoder: false
+use_8bit_adam: true
+validation_prompt: null
+validation_scheduler: DPMSolverMultistepScheduler
+validation_steps: 100
+with_prior_preservation: false

logs/dreambooth/events.out.tfevents.1715646063.node-0.2684.0

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model_index.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.25.1",
+  "_diffusers_version": "0.27.2",
   "_name_or_path": "stabilityai/stable-diffusion-2-1",
   "feature_extractor": [
     "transformers",

scheduler/scheduler_config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "DDIMScheduler",
-  "_diffusers_version": "0.25.1",
+  "_diffusers_version": "0.27.2",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,

unet/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.25.1",
+  "_diffusers_version": "0.27.2",
   "_name_or_path": "stabilityai/stable-diffusion-2-1",
   "act_fn": "silu",
   "addition_embed_type": null,

unet/diffusion_pytorch_model.safetensors

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vae/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.25.1",
+  "_diffusers_version": "0.27.2",
   "_name_or_path": "/home/aiscuser/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1/snapshots/5cae40e6a2745ae2b01ad92ae5043f95f23644d6/vae",
   "act_fn": "silu",
   "block_out_channels": [
@@ -18,6 +18,8 @@
   "force_upcast": true,
   "in_channels": 3,
   "latent_channels": 4,
+  "latents_mean": null,
+  "latents_std": null,
   "layers_per_block": 2,
   "norm_num_groups": 32,
   "out_channels": 3,