End of training

.gitattributes

@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
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+image_1.png filter=lfs diff=lfs merge=lfs -text
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README.md

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+
+---
+license: openrail++
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: in the style of wlat_mntn
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA DreamBooth - rehanhaider/vectors-training-sdxl-1.0
+
+These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on in the style of wlat_mntn using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: None.

checkpoint-500/optimizer.bin

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logs/dreambooth-lora-sd-xl/1690552940.3704321/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: class_images
+class_prompt: illustration style
+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: false
+hub_model_id: null
+hub_token: null
+instance_data_dir: training_images
+instance_prompt: in the style of wlat_mntn
+learning_rate: 1.0e-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: fp16
+num_class_images: 18
+num_train_epochs: 160
+num_validation_images: 4
+output_dir: vectors-training-sdxl-1.0
+pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
+pretrained_vae_model_name_or_path: null
+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: 512351235
+train_batch_size: 1
+train_text_encoder: false
+use_8bit_adam: false
+validation_epochs: 50
+validation_prompt: in the style of wlat_mntn, illustration of a tree
+with_prior_preservation: true

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