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  1. README.md +47 -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
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  11. checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
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  19. checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
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  21. checkpoint-4000/scheduler.bin +3 -0
  22. checkpoint-5000/optimizer.bin +3 -0
  23. checkpoint-5000/pytorch_lora_weights.safetensors +3 -0
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  27. checkpoint-6000/pytorch_lora_weights.safetensors +3 -0
  28. checkpoint-6000/random_states_0.pkl +3 -0
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  30. checkpoint-7000/optimizer.bin +3 -0
  31. checkpoint-7000/pytorch_lora_weights.safetensors +3 -0
  32. checkpoint-7000/random_states_0.pkl +3 -0
  33. checkpoint-7000/scheduler.bin +3 -0
  34. checkpoint-8000/optimizer.bin +3 -0
  35. checkpoint-8000/pytorch_lora_weights.safetensors +3 -0
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  38. checkpoint-9000/optimizer.bin +3 -0
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  42. image_0.png +0 -0
  43. image_1.png +0 -0
  44. image_2.png +0 -0
  45. image_3.png +0 -0
  46. logs/dreambooth-lora/1721375812.4955144/events.out.tfevents.1721375812.f83a41cc455f.155112.1 +3 -0
  47. logs/dreambooth-lora/1721375812.5011864/hparams.yml +56 -0
  48. logs/dreambooth-lora/events.out.tfevents.1721375812.f83a41cc455f.155112.0 +3 -0
  49. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+ ---
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+ base_model: runwayml/stable-diffusion-v1-5
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+ library_name: diffusers
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+ license: creativeml-openrail-m
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+ tags:
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ - diffusers-training
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ inference: true
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+ instance_prompt: a wallpaper of a <oajsdnblnalsnf> watercolor
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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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+ # LoRA DreamBooth - rookieSJTU/zhongguoribao_model_setting8
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+
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a wallpaper of a <oajsdnblnalsnf> watercolor using [DreamBooth](https://dreambooth.github.io/). 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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+
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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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+ 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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+ instance_data_dir: ./scene_limin
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+ instance_prompt: a wallpaper of a <oajsdnblnalsnf> watercolor
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+ learning_rate: 1.0e-05
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+ local_rank: 0
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+ logging_dir: logs
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+ num_validation_images: 4
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+ output_dir: zhongguoribao_model_setting8
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+ rank: 4
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+ validation_prompt: a wallpaper of a giant panda, <oajsdnblnalsnf>
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