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Gurusha
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sd-hand-model-lora-sdxl

Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
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Gurusha commited on
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End of training

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  1. README.md +27 -0
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
  5. checkpoint-1000/scaler.pt +3 -0
  6. checkpoint-1000/scheduler.bin +3 -0
  7. checkpoint-1500/optimizer.bin +3 -0
  8. checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
  9. checkpoint-1500/random_states_0.pkl +3 -0
  10. checkpoint-1500/scaler.pt +3 -0
  11. checkpoint-1500/scheduler.bin +3 -0
  12. checkpoint-2000/optimizer.bin +3 -0
  13. checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
  14. checkpoint-2000/random_states_0.pkl +3 -0
  15. checkpoint-2000/scaler.pt +3 -0
  16. checkpoint-2000/scheduler.bin +3 -0
  17. checkpoint-2500/optimizer.bin +3 -0
  18. checkpoint-2500/pytorch_lora_weights.safetensors +3 -0
  19. checkpoint-2500/random_states_0.pkl +3 -0
  20. checkpoint-2500/scaler.pt +3 -0
  21. checkpoint-2500/scheduler.bin +3 -0
  22. checkpoint-3000/optimizer.bin +3 -0
  23. checkpoint-3000/pytorch_lora_weights.safetensors +3 -0
  24. checkpoint-3000/random_states_0.pkl +3 -0
  25. checkpoint-3000/scaler.pt +3 -0
  26. checkpoint-3000/scheduler.bin +3 -0
  27. checkpoint-3500/optimizer.bin +3 -0
  28. checkpoint-3500/pytorch_lora_weights.safetensors +3 -0
  29. checkpoint-3500/random_states_0.pkl +3 -0
  30. checkpoint-3500/scaler.pt +3 -0
  31. checkpoint-3500/scheduler.bin +3 -0
  32. checkpoint-500/optimizer.bin +3 -0
  33. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  34. checkpoint-500/random_states_0.pkl +3 -0
  35. checkpoint-500/scaler.pt +3 -0
  36. checkpoint-500/scheduler.bin +3 -0
  37. image_0.png +0 -0
  38. image_1.png +0 -0
  39. image_2.png +0 -0
  40. image_3.png +0 -0
  41. logs/text2image-fine-tune/1695809343.401389/events.out.tfevents.1695809343.GCRAZGDL1763.3276090.1 +3 -0
  42. logs/text2image-fine-tune/1695809343.402707/hparams.yml +51 -0
  43. logs/text2image-fine-tune/events.out.tfevents.1695809343.GCRAZGDL1763.3276090.0 +3 -0
  44. 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: stabilityai/stable-diffusion-xl-base-1.0
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+ dataset: None
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-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 - Gurusha/sd-hand-model-lora-sdxl
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+
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+ 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.
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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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+
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+ LoRA for the text encoder was enabled: False.
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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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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: false
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+ checkpointing_steps: 500
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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: null
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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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+ lr_warmup_steps: 0
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+ max_train_steps: 3843
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+ mixed_precision: fp16
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+ noise_offset: 0
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+ num_train_epochs: 1
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+ num_validation_images: 4
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+ output_dir: sd-hand-model-lora-sdxl
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+ prediction_type: null
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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+ push_to_hub: true
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+ resolution: 1024
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+ train_data_dir: train_dataset
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+ train_text_encoder: false
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+ use_8bit_adam: false
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+ validation_epochs: 1
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+ validation_prompt: a human hand wearing a ring on the ring finger
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