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  1. README.md +42 -0
  2. checkpoint-100/optimizer.bin +3 -0
  3. checkpoint-100/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-100/random_states_0.pkl +3 -0
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  19. checkpoint-400/pytorch_lora_weights.safetensors +3 -0
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  26. checkpoint-600/optimizer.bin +3 -0
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  29. checkpoint-600/scheduler.bin +3 -0
  30. checkpoint-700/optimizer.bin +3 -0
  31. checkpoint-700/pytorch_lora_weights.safetensors +3 -0
  32. checkpoint-700/random_states_0.pkl +3 -0
  33. checkpoint-700/scheduler.bin +3 -0
  34. checkpoint-800/optimizer.bin +3 -0
  35. checkpoint-800/pytorch_lora_weights.safetensors +3 -0
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  42. logs/dreambooth-lora/1709560367.1957376/events.out.tfevents.1709560367.3b7278b1cee0.2923.1 +3 -0
  43. logs/dreambooth-lora/1709560367.205299/hparams.yml +56 -0
  44. logs/dreambooth-lora/events.out.tfevents.1709560367.3b7278b1cee0.2923.0 +3 -0
  45. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+ ---
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+ license: creativeml-openrail-m
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+ library_name: diffusers
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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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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ inference: true
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+ base_model: runwayml/stable-diffusion-v1-5
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+ instance_prompt: photo of a room with professional interior design
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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 - LN1996/output_run_2
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+
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on photo of a room with professional interior design using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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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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+ instance_data_dir: training_images
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+ instance_prompt: photo of a room with professional interior design
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+ learning_rate: 1.0e-05
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+ local_rank: -1
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+ logging_dir: logs
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+ lr_num_cycles: 1
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+ num_validation_images: 4
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+ output_dir: output_run_2
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+ pre_compute_text_embeddings: false
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+ rank: 4
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