End of training

README.md

@@ -1,7 +1,7 @@
 
 ---
 license: creativeml-openrail-m
-base_model: CompVis/stable-diffusion-v1-4
+base_model: runwayml/stable-diffusion-v1-5
 instance_prompt: a photo of sks dog
 tags:
 - stable-diffusion
@@ -14,7 +14,7 @@ inference: true
     
 # DreamBooth - OriginF/output
 
-This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/).
+This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog 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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checkpoint-500/scheduler.bin

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checkpoint-500/unet/config.json

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 {
   "_class_name": "UNet2DConditionModel",
   "_diffusers_version": "0.18.0.dev0",
-  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "_name_or_path": "runwayml/stable-diffusion-v1-5",
   "act_fn": "silu",
   "addition_embed_type": null,
   "addition_embed_type_num_heads": 64,

checkpoint-500/unet/diffusion_pytorch_model.bin

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logs/dreambooth/1688354049.3663628/events.out.tfevents.1688354049.cscg-Precision-7920-Tower.66401.1

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logs/dreambooth/1688354049.3693643/hparams.yml

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+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: ./outputclass
+class_labels_conditioning: null
+class_prompt: a photo of dog
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 2
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+instance_data_dir: dog
+instance_prompt: a photo of sks dog
+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: 800
+mixed_precision: null
+num_class_images: 200
+num_train_epochs: 8
+num_validation_images: 4
+offset_noise: false
+output_dir: ./output
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
+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
+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_images: null
+validation_prompt: null
+validation_steps: 100
+with_prior_preservation: true

logs/dreambooth/events.out.tfevents.1688354049.cscg-Precision-7920-Tower.66401.0

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safety_checker/config.json

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 {
-  "_commit_hash": "59ec6bdf37d6279d3c0faf36e89ff1aa34f7ebf4",
-  "_name_or_path": "/devdata/fqy/.cache/huggingface/hub/models--CompVis--stable-diffusion-v1-4/snapshots/59ec6bdf37d6279d3c0faf36e89ff1aa34f7ebf4/safety_checker",
+  "_commit_hash": "aa9ba505e1973ae5cd05f5aedd345178f52f8e6a",
+  "_name_or_path": "/devdata/fqy/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/aa9ba505e1973ae5cd05f5aedd345178f52f8e6a/safety_checker",
   "architectures": [
     "StableDiffusionSafetyChecker"
   ],

text_encoder/config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "_name_or_path": "runwayml/stable-diffusion-v1-5",
   "architectures": [
     "CLIPTextModel"
   ],
@@ -18,7 +18,7 @@
   "num_attention_heads": 12,
   "num_hidden_layers": 12,
   "pad_token_id": 1,
-  "projection_dim": 512,
+  "projection_dim": 768,
   "torch_dtype": "float32",
   "transformers_version": "4.30.2",
   "vocab_size": 49408

unet/config.json

@@ -1,7 +1,7 @@
 {
   "_class_name": "UNet2DConditionModel",
   "_diffusers_version": "0.18.0.dev0",
-  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "_name_or_path": "runwayml/stable-diffusion-v1-5",
   "act_fn": "silu",
   "addition_embed_type": null,
   "addition_embed_type_num_heads": 64,

unet/diffusion_pytorch_model.bin

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vae/config.json

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 {
   "_class_name": "AutoencoderKL",
   "_diffusers_version": "0.18.0.dev0",
-  "_name_or_path": "/devdata/fqy/.cache/huggingface/hub/models--CompVis--stable-diffusion-v1-4/snapshots/59ec6bdf37d6279d3c0faf36e89ff1aa34f7ebf4/vae",
+  "_name_or_path": "/devdata/fqy/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/aa9ba505e1973ae5cd05f5aedd345178f52f8e6a/vae",
   "act_fn": "silu",
   "block_out_channels": [
     128,