End of training

README.md

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+---
+base_model: runwayml/stable-diffusion-v1-5
+library_name: diffusers
+license: creativeml-openrail-m
+tags:
+- stable-diffusion
+- stable-diffusion-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 - timlrx-resaro/synthmed
+These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the timlrx-resaro/meds-images 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)
+
+
+
+## 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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logs/text2image-fine-tune/1722264381.0719738/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: clean_caption
+center_crop: true
+checkpointing_steps: 400
+checkpoints_total_limit: null
+dataloader_num_workers: 8
+dataset_config_name: null
+dataset_name: timlrx-resaro/meds-images
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: synthmeds
+hub_token: null
+image_column: image
+learning_rate: 0.0001
+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: null
+noise_offset: 0
+num_train_epochs: 200
+num_validation_images: 4
+output_dir: ./output
+prediction_type: null
+pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
+push_to_hub: true
+random_flip: true
+rank: 4
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+scale_lr: false
+seed: 1337
+snr_gamma: null
+train_batch_size: 1
+train_data_dir: null
+use_8bit_adam: false
+validation_epochs: 1
+validation_prompt: Medical packaging blister pack.
+variant: null

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+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+cache_dir: null
+caption_column: clean_caption
+center_crop: true
+checkpointing_steps: 500
+checkpoints_total_limit: null
+dataloader_num_workers: 8
+dataset_config_name: null
+dataset_name: timlrx-resaro/meds-images
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: synthmed
+hub_token: null
+image_column: image
+learning_rate: 0.0001
+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: 500
+mixed_precision: null
+noise_offset: 0
+num_train_epochs: 50
+num_validation_images: 4
+output_dir: ./output
+prediction_type: null
+pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
+push_to_hub: true
+random_flip: true
+rank: 4
+report_to: tensorboard
+resolution: 512
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+revision: null
+scale_lr: false
+seed: 1338
+snr_gamma: null
+train_batch_size: 1
+train_data_dir: null
+use_8bit_adam: false
+validation_epochs: 1
+validation_prompt: Medical packaging blister pack.
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