End of training

README.md

@@ -2,7 +2,7 @@
 ---
 license: openrail++
 base_model: stabilityai/stable-diffusion-xl-base-1.0
-instance_prompt: sks
+instance_prompt: ohwx man
 tags:
 - stable-diffusion-xl
 - stable-diffusion-xl-diffusers
@@ -14,7 +14,7 @@ inference: true
     
 # LoRA DreamBooth - stephanebhiri/lora-trained-xl-colab-stp25
 
-These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on sks using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 
+These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on ohwx man 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/scaler.pt

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checkpoint-500/optimizer.bin

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logs/dreambooth-lora-sd-xl/1693142675.625984/events.out.tfevents.1693142675.1d8687aa5ca3.1458.1

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logs/dreambooth-lora-sd-xl/1693142675.6278222/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: null
+class_prompt: null
+crops_coords_top_left_h: 0
+crops_coords_top_left_w: 0
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+instance_data_dir: drive/MyDrive/stp
+instance_prompt: ohwx man
+learning_rate: 0.0001
+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: 1300
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 163
+num_validation_images: 4
+output_dir: lora-trained-xl-colab-stp25
+pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
+pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: true
+rank: 4
+report_to: tensorboard
+resolution: 1024
+resume_from_checkpoint: null
+revision: null
+sample_batch_size: 4
+scale_lr: false
+seed: 0
+train_batch_size: 1
+train_text_encoder: false
+use_8bit_adam: false
+validation_epochs: 50
+validation_prompt: null
+with_prior_preservation: false

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pytorch_lora_weights.safetensors

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