End of training

README.md

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+---
+base_model: playgroundai/playground-v2.5-1024px-aesthetic
+library_name: diffusers
+license: creativeml-openrail-m
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- diffusers-training
+- lora
+inference: true
+---
+
+<!-- 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. -->
+
+
+# LoRA text2image fine-tuning - Jayw1/xubeihong_lora_new
+
+These are LoRA adaption weights for playgroundai/playground-v2.5-1024px-aesthetic. The weights were fine-tuned on the /mnt/afs/data/hjw/diffusers/xubeihong dataset. 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.
+
+
+## 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_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.0001
+adam_weight_decay_text_encoder: 0.001
+allow_tf32: false
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+caption_column: text
+center_crop: false
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+class_data_dir: null
+class_prompt: null
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: /mnt/afs/data/hjw/diffusers/baimiao
+do_edm_style_training: true
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+image_column: image
+instance_data_dir: null
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+max_grad_norm: 1.0
+max_train_steps: 500
+mixed_precision: fp16
+num_class_images: 100
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+optimizer: AdamW
+output_dir: xubeihong_lora_new
+output_kohya_format: false
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