End of training

README.md

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+---
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+library_name: diffusers
+license: creativeml-openrail-m
+inference: true
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- diffusers-training
+- lora
+---
+
+<!-- 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 - JerryFan011018/fashion_sdxl2
+
+These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the None dataset. 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.
+
+
+## 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]

logs/text2image-fine-tune/1732111881.153701/events.out.tfevents.1732111881.347ab98c8e68.152682.1

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logs/text2image-fine-tune/1732111881.155396/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
+cache_dir: null
+caption_column: prompt
+center_crop: false
+checkpointing_steps: 5000
+checkpoints_total_limit: null
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: /content/drive/MyDrive/myntradataset/images
+debug_loss: false
+enable_npu_flash_attention: false
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+image_column: image
+learning_rate: 1.0e-06
+local_rank: -1
+logging_dir: logs
+lr_scheduler: cosine
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 5000
+mixed_precision: fp16
+noise_offset: 0
+num_train_epochs: 77
+num_validation_images: 4
+output_dir: fashion_sdxl2
+prediction_type: null
+pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
+pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
+push_to_hub: false
+random_flip: false
+rank: 4
+report_to: tensorboard
+resolution: 80
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: null
+snr_gamma: null
+train_batch_size: 16
+train_data_dir: null
+train_text_encoder: false
+use_8bit_adam: true
+validation_epochs: 1
+validation_prompt: null
+variant: null

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logs/text2image-fine-tune/1732112085.6261766/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
+cache_dir: null
+caption_column: prompt
+center_crop: false
+checkpointing_steps: 5000
+checkpoints_total_limit: null
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: /content/drive/MyDrive/myntradataset/images
+debug_loss: false
+enable_npu_flash_attention: false
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+image_column: image
+learning_rate: 1.0e-06
+local_rank: -1
+logging_dir: logs
+lr_scheduler: cosine
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 2000
+mixed_precision: fp16
+noise_offset: 0
+num_train_epochs: 31
+num_validation_images: 4
+output_dir: fashion_sdxl2
+prediction_type: null
+pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
+pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
+push_to_hub: false
+random_flip: false
+rank: 4
+report_to: tensorboard
+resolution: 80
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: null
+snr_gamma: null
+train_batch_size: 16
+train_data_dir: null
+train_text_encoder: false
+use_8bit_adam: true
+validation_epochs: 1
+validation_prompt: null
+variant: null

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