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End of training

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  1. README.md +66 -0
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/random_states_0.pkl +3 -0
  4. checkpoint-1000/scheduler.bin +3 -0
  5. checkpoint-1000/unet/config.json +68 -0
  6. checkpoint-1000/unet/diffusion_pytorch_model.safetensors +3 -0
  7. checkpoint-1200/optimizer.bin +3 -0
  8. checkpoint-1200/random_states_0.pkl +3 -0
  9. checkpoint-1200/scheduler.bin +3 -0
  10. checkpoint-1200/unet/config.json +68 -0
  11. checkpoint-1200/unet/diffusion_pytorch_model.safetensors +3 -0
  12. checkpoint-600/optimizer.bin +3 -0
  13. checkpoint-600/random_states_0.pkl +3 -0
  14. checkpoint-600/scheduler.bin +3 -0
  15. checkpoint-600/unet/config.json +68 -0
  16. checkpoint-600/unet/diffusion_pytorch_model.safetensors +3 -0
  17. checkpoint-800/optimizer.bin +3 -0
  18. checkpoint-800/random_states_0.pkl +3 -0
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  20. checkpoint-800/unet/config.json +68 -0
  21. checkpoint-800/unet/diffusion_pytorch_model.safetensors +3 -0
  22. checkpoints/checkpoint-1000.ckpt +3 -0
  23. checkpoints/checkpoint-1200.ckpt +3 -0
  24. checkpoints/checkpoint-600.ckpt +3 -0
  25. checkpoints/checkpoint-800.ckpt +3 -0
  26. feature_extractor/preprocessor_config.json +27 -0
  27. images/checkpoint-1000.png +0 -0
  28. images/checkpoint-1200.png +0 -0
  29. images/checkpoint-600.png +0 -0
  30. images/checkpoint-800.png +0 -0
  31. images/temp/0.png +0 -0
  32. images/temp/1.png +0 -0
  33. images/temp/2.png +0 -0
  34. images/temp/3.png +0 -0
  35. logs/dreambooth/1729767972.0640128/events.out.tfevents.1729767972.6ca1eb2b139d.1700.1 +3 -0
  36. logs/dreambooth/1729767972.06611/hparams.yml +61 -0
  37. logs/dreambooth/events.out.tfevents.1729767972.6ca1eb2b139d.1700.0 +3 -0
  38. model_index.json +38 -0
  39. safety_checker/config.json +28 -0
  40. safety_checker/model.safetensors +3 -0
  41. scheduler/scheduler_config.json +15 -0
  42. steps_track.txt +1 -0
  43. text_encoder/config.json +25 -0
  44. text_encoder/model.safetensors +3 -0
  45. tokenizer/merges.txt +0 -0
  46. tokenizer/special_tokens_map.json +24 -0
  47. tokenizer/tokenizer_config.json +30 -0
  48. tokenizer/vocab.json +0 -0
  49. unet/config.json +68 -0
  50. unet/diffusion_pytorch_model.safetensors +3 -0
README.md ADDED
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+ ---
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+ base_model: Taa97/ZeroCool94_SDv1-5
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+ library_name: diffusers
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+ license: openrail++
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+ instance_prompt: photo of a sks woman
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+ widget: []
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+ tags:
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+ - text-to-image
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+ - text-to-image
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+ - diffusers-training
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+ - diffusers
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+ - lora
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+ - template:sd-lora
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-diffusers
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # SDXL LoRA DreamBooth - Taa97/Taa97-ZeroCool94_SDv1-5_1e-05_1200
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ These are Taa97/Taa97-ZeroCool94_SDv1-5_1e-05_1200 LoRA adaption weights for Taa97/ZeroCool94_SDv1-5.
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+
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+ The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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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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+
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+ ## Trigger words
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+
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+ You should use photo of a sks woman to trigger the image generation.
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+
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+ ## Download model
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ [Download](Taa97/Taa97-ZeroCool94_SDv1-5_1e-05_1200/tree/main) them in the Files & versions tab.
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+
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+ Images used = {'selfies': 12, 'full_body': 0, 'half_body': 0, 'bad_pics': 0, 'same_fanana_1': 0, 'same_fanana_2': 0, 'same_fanana_3': 0}
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+
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+
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+
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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