LoRA Training Config

An example (fetal abdomen) of LoRA training configuration.

{
  "pretrained_model_name_or_path": "/root/autodl-tmp/sd_ckpt/v1-5-pruned.safetensors",
  "v2": false,
  "v_parameterization": false,
  "logging_dir": "/root/autodl-tmp/fetal_us/datasets/log",
  "train_data_dir": "/root/autodl-tmp/fetal_us/datasets/img",
  "reg_data_dir": "",
  "output_dir": "/root/autodl-tmp/fetal_us/datasets/output",
  "max_resolution": "512,512",
  "learning_rate": "0.0001",
  "lr_scheduler": "constant",
  "lr_warmup": "0",
  "train_batch_size": 1,
  "epoch": "1",
  "save_every_n_epochs": "1",
  "mixed_precision": "fp16",
  "save_precision": "fp16",
  "seed": "1234",
  "num_cpu_threads_per_process": 2,
  "cache_latents": true,
  "caption_extension": ".txt",
  "enable_bucket": true,
  "gradient_checkpointing": false,
  "full_fp16": false,
  "no_token_padding": false,
  "stop_text_encoder_training": 0,
  "xformers": false,
  "save_model_as": "safetensors",
  "shuffle_caption": false,
  "save_state": true,
  "resume": "",
  "prior_loss_weight": 1.0,
  "text_encoder_lr": "5e-5",
  "unet_lr": "0.0001",
  "network_dim": 128,
  "lora_network_weights": "",
  "color_aug": false,
  "flip_aug": false,
  "clip_skip": 2,
  "gradient_accumulation_steps": 1.0,
  "mem_eff_attn": false,
  "output_name": "fetal_ultrasound_v1.0",
  "model_list": "custom",
  "max_token_length": "75",
  "max_train_epochs": "1",
  "max_data_loader_n_workers": "1",
  "network_alpha": 128,
  "training_comment": "",
  "keep_tokens": "0",
  "lr_scheduler_num_cycles": "",
  "lr_scheduler_power": "",
  "persistent_data_loader_workers": false,
  "bucket_no_upscale": true,
  "random_crop": false,
  "bucket_reso_steps": 64.0,
  "caption_dropout_every_n_epochs": 0.0,
  "caption_dropout_rate": 0,
  "optimizer": "AdamW8bit",
  "optimizer_args": "",
  "noise_offset": "",
  "LoRA_type": "Standard",
  "conv_dim": 1,
  "conv_alpha": 1
}

FU-LoRA: LoRA Models

LoRA Model Rank
fetal_ultrasound_v1.0.safetensors 128
fetal_ultrasound_v2.0.safetensors 32
fetal_ultrasound_v3.0.safetensors 8

Paper

URL: https://arxiv.org/abs/2407.20072

Citation

@misc{wang2024generative,
      title={Generative Diffusion Model Bootstraps Zero-shot Classification of Fetal Ultrasound Images In Underrepresented African Populations}, 
      author={Fangyijie Wang and Kevin Whelan and Guénolé Silvestre and Kathleen M. Curran},
      year={2024},
      eprint={2407.20072},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2407.20072}, 
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.