End of training

README.md

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+
+---
+license: openrail++
+base_model: segmind/SSD-1B
+instance_prompt: t3xt as
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA DreamBooth - jsram/lora-text-train-SSD-1B
+
+These are LoRA adaption weights for segmind/SSD-1B. The weights were trained on t3xt as using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 
+
+
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

checkpoint-1000/optimizer.bin

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checkpoint-1000/scaler.pt

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logs/dreambooth-lora-sd-xl/1700073968.8785/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: 4
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+instance_data_dir: /kaggle/working/images/training_text/
+instance_prompt: t3xt as
+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: 1600
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 6
+num_validation_images: 4
+output_dir: lora-text-train-SSD-1B
+pretrained_model_name_or_path: segmind/SSD-1B
+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: null
+train_batch_size: 1
+train_text_encoder: false
+use_8bit_adam: true
+validation_epochs: 50
+validation_prompt: null
+with_prior_preservation: false

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