End of training

README.md

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+---
+license: openrail++
+library_name: diffusers
+tags:
+- text-to-image
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+- template:sd-lora
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: a photo of sks dog
+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 - Chengbin124/atr_i1co_finetuned_model
+
+<Gallery />
+
+## Model description
+
+These are Chengbin124/atr_i1co_finetuned_model 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 photo of sks dog to trigger the image generation.
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](Chengbin124/atr_i1co_finetuned_model/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_epsilon: 1.0e-08
+adam_weight_decay: 0.0001
+adam_weight_decay_text_encoder: 0.001
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+cache_dir: null
+caption_column: caption
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+checkpointing_steps: 1000
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+dataloader_num_workers: 0
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+dataset_name: /home/chengbin_zhu/GenAi/GenModel/models/stability_ai/finetuning/i1co_images
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 3
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+image_column: image
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+instance_prompt: a photo of sks dog
+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: 5000
+mixed_precision: fp16
+num_class_images: 100
+num_train_epochs: 1250
+num_validation_images: 4
+optimizer: AdamW
+output_dir: atr_i1co_finetuned_model
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