End of training

README.md

@@ -2,7 +2,7 @@
 ---
 license: creativeml-openrail-m
 base_model: runwayml/stable-diffusion-v1-5
-instance_prompt: a photo of sks dog
+instance_prompt: a photo of sks lego
 tags:
 - stable-diffusion
 - stable-diffusion-diffusers
@@ -14,7 +14,7 @@ inference: true
     
 # DreamBooth - OriginF/output
 
-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/).
+This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks lego using [DreamBooth](https://dreambooth.github.io/).
 You can find some example images in the following. 
 
 

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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 {
   "_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-1000/unet/diffusion_pytorch_model.bin

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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/1688372325.1912167/events.out.tfevents.1688372325.cscg-Precision-7920-Tower.98156.1

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logs/dreambooth/1688372325.194321/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 lego
+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: lego
+instance_prompt: a photo of sks lego
+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: 1000
+mixed_precision: null
+num_class_images: 200
+num_train_epochs: 10
+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.1688372325.cscg-Precision-7920-Tower.98156.0

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unet/diffusion_pytorch_model.bin

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