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blanchon
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sd-geolora-model-lora

Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Metrics Community
blanchon commited on
Commit
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End of training

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Files changed (19) hide show
  1. README.md +21 -0
  2. checkpoint-10000/model.safetensors +3 -0
  3. checkpoint-10000/optimizer.bin +3 -0
  4. checkpoint-10000/random_states_0.pkl +3 -0
  5. checkpoint-10000/scaler.pt +3 -0
  6. checkpoint-10000/scheduler.bin +3 -0
  7. checkpoint-20000/model.safetensors +3 -0
  8. checkpoint-20000/optimizer.bin +3 -0
  9. checkpoint-20000/random_states_0.pkl +3 -0
  10. checkpoint-20000/scaler.pt +3 -0
  11. checkpoint-20000/scheduler.bin +3 -0
  12. image_0.png +0 -0
  13. image_1.png +0 -0
  14. image_2.png +0 -0
  15. image_3.png +0 -0
  16. logs/text2image-fine-tune/1702285519.8016205/events.out.tfevents.1702285519.julienblanchon-ubuntu.1243426.1 +3 -0
  17. logs/text2image-fine-tune/1702285519.8031516/hparams.yml +51 -0
  18. logs/text2image-fine-tune/events.out.tfevents.1702285519.julienblanchon-ubuntu.1243426.0 +3 -0
  19. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: CompVis/stable-diffusion-v1-4
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ inference: true
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+ ---
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+
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+ # LoRA text2image fine-tuning - blanchon/sd-geolora-model-lora
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+ These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the blanchon/rsicd_subset dataset. You can find some example images in the following.
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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+
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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.01
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+ allow_tf32: false
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+ cache_dir: null
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+ caption_column: text
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+ center_crop: true
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+ checkpointing_steps: 10000
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+ checkpoints_total_limit: null
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+ dataloader_num_workers: 0
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+ dataset_config_name: null
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+ dataset_name: blanchon/rsicd_subset
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: false
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+ hub_model_id: null
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+ hub_token: null
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+ image_column: image
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+ learning_rate: 0.0001
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+ local_rank: -1
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+ logging_dir: logs
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+ lr_scheduler: constant
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ max_train_samples: null
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+ max_train_steps: 20000
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+ mixed_precision: null
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+ noise_offset: 0
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+ num_train_epochs: 20
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+ num_validation_images: 4
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+ output_dir: sd-geolora-model-lora
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+ prediction_type: null
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+ pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+ push_to_hub: true
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+ random_flip: true
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+ rank: 4
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+ report_to: tensorboard
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+ resolution: 512
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+ resume_from_checkpoint: null
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+ revision: null
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+ scale_lr: false
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+ seed: 42
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+ snr_gamma: null
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+ train_batch_size: 1
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+ train_data_dir: null
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+ use_8bit_adam: false
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+ validation_epochs: 1
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+ validation_prompt: aerial view, Several aircraft are stationed adjacent to a terminal
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+ in a parking area.
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+ variant: null
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