End of training

README.md

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+---
+license: openrail++
+library_name: diffusers
+tags:
+- text-to-image
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- template:sd-lora
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: A [v]
+widget: []
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# SDXL LoRA DreamBooth - multimodalart/B-LoRA_style
+
+<Gallery />
+
+## Model description
+
+These are multimodalart/B-LoRA_style LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+
+The weights were trained  using [DreamBooth](https://dreambooth.github.io/).
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: None.
+
+## Trigger words
+
+You should use A [v] to trigger the image generation.
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](multimodalart/B-LoRA_style/tree/main) them in the Files & versions tab.
+
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.0001
+adam_weight_decay_text_encoder: 0.001
+allow_tf32: false
+cache_dir: null
+caption_column: null
+center_crop: false
+checkpointing_steps: 500
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+class_data_dir: null
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+dataset_config_name: null
+dataset_name: null
+do_edm_style_training: false
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+image_column: image
+instance_data_dir: ./style
+instance_prompt: A [v]
+learning_rate: 5.0e-05
+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: fp16
+num_class_images: 100
+num_train_epochs: 1000
+num_validation_images: 4
+optimizer: AdamW
+output_dir: B-LoRA_style
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+repeats: 1
+report_to: tensorboard
+resolution: 1024
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+sample_batch_size: 4
+scale_lr: false
+seed: 0
+snr_gamma: null
+text_encoder_lr: 5.0e-06
+train_batch_size: 1
+train_text_encoder: false
+use_8bit_adam: false
+use_dora: false
+validation_epochs: 50
+validation_prompt: null
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+adam_weight_decay_text_encoder: 0.001
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+image_column: image
+instance_data_dir: ./style
+instance_prompt: A [v]
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+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: fp16
+num_class_images: 100
+num_train_epochs: 1000
+num_validation_images: 4
+optimizer: AdamW
+output_dir: B-LoRA_style
+pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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+with_prior_preservation: false

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