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paths1551
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cethu-v1-b8

Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
lora
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End of training

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  1. README.md +21 -0
  2. checkpoint-100/model.safetensors +3 -0
  3. checkpoint-100/optimizer.bin +3 -0
  4. checkpoint-100/pytorch_lora_weights.safetensors +3 -0
  5. checkpoint-100/random_states_0.pkl +3 -0
  6. checkpoint-100/scheduler.bin +3 -0
  7. checkpoint-150/model.safetensors +3 -0
  8. checkpoint-150/optimizer.bin +3 -0
  9. checkpoint-150/pytorch_lora_weights.safetensors +3 -0
  10. checkpoint-150/random_states_0.pkl +3 -0
  11. checkpoint-150/scheduler.bin +3 -0
  12. checkpoint-200/model.safetensors +3 -0
  13. checkpoint-200/optimizer.bin +3 -0
  14. checkpoint-200/pytorch_lora_weights.safetensors +3 -0
  15. checkpoint-200/random_states_0.pkl +3 -0
  16. checkpoint-200/scheduler.bin +3 -0
  17. checkpoint-250/model.safetensors +3 -0
  18. checkpoint-250/optimizer.bin +3 -0
  19. checkpoint-250/pytorch_lora_weights.safetensors +3 -0
  20. checkpoint-250/random_states_0.pkl +3 -0
  21. checkpoint-250/scheduler.bin +3 -0
  22. checkpoint-50/model.safetensors +3 -0
  23. checkpoint-50/optimizer.bin +3 -0
  24. checkpoint-50/pytorch_lora_weights.safetensors +3 -0
  25. checkpoint-50/random_states_0.pkl +3 -0
  26. checkpoint-50/scheduler.bin +3 -0
  27. image_0.png +0 -0
  28. image_1.png +0 -0
  29. image_2.png +0 -0
  30. image_3.png +0 -0
  31. logs/text2image-fine-tune/1706277831.0552168/events.out.tfevents.1706277831.81e7accd8346.81611.1 +3 -0
  32. logs/text2image-fine-tune/1706277831.0756428/hparams.yml +50 -0
  33. logs/text2image-fine-tune/events.out.tfevents.1706277831.81e7accd8346.81611.0 +3 -0
  34. 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: Lykon/DreamShaper
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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 - paths1551/cethu-v1-b8
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+ These are LoRA adaption weights for Lykon/DreamShaper. The weights were fine-tuned on the /workspace/cethu_lora 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: false
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+ checkpointing_steps: 50
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+ checkpoints_total_limit: null
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+ dataloader_num_workers: 8
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+ dataset_config_name: null
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+ dataset_name: /workspace/cethu_lora
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 4
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+ gradient_checkpointing: false
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+ hub_model_id: paths1551/cethu-v1-b8
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+ hub_token: null
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+ image_column: image
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+ learning_rate: 0.0001414213562373095
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+ local_rank: -1
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+ logging_dir: logs
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+ lr_scheduler: cosine
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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: 250
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+ mixed_precision: null
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+ noise_offset: 0
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+ num_train_epochs: 84
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+ num_validation_images: 4
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+ output_dir: /workspace/cethu-v1-b8
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+ prediction_type: null
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+ pretrained_model_name_or_path: Lykon/DreamShaper
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+ push_to_hub: true
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+ rank: 4
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+ resolution: 512
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+ use_8bit_adam: false
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+ validation_epochs: 1
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+ validation_prompt: robotic archangel in a baron desert landscape
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