End of training

.ipynb_checkpoints/README-checkpoint.md

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+
+---
+license: creativeml-openrail-m
+base_model: CompVis/stable-diffusion-v1-2
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA text2image fine-tuning - kayteekay/jordan-generator-v1
+These are LoRA adaption weights for CompVis/stable-diffusion-v1-2. The weights were fine-tuned on the kayteekay/jordan-generator-dataset 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)
+

logs/text2image-fine-tune/1689572120.3324425/events.out.tfevents.1689572120.nwh7fi24t0.27263.1

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logs/text2image-fine-tune/1689572120.335639/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: text
+center_crop: true
+checkpointing_steps: 100000
+checkpoints_total_limit: null
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: kayteekay/jordan-generator-dataset
+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-05
+local_rank: -1
+logging_dir: logs
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 400
+mixed_precision: fp16
+noise_offset: 0
+num_train_epochs: 1
+num_validation_images: 4
+output_dir: model/jordan-generator-v1
+prediction_type: null
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-2
+push_to_hub: true
+random_flip: true
+rank: 4
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: null
+snr_gamma: null
+train_batch_size: 1
+train_data_dir: null
+use_8bit_adam: false
+validation_epochs: 1
+validation_prompt: Jordan 1 red

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pytorch_lora_weights.bin

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