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End of training

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  1. README.md +43 -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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  33. logs/dreambooth/events.out.tfevents.1726201767.autodl-container-87e947af6e-f33f28f5.2359.0 +3 -0
  34. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+ ---
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+ base_model: CompVis/stable-diffusion-v1-4
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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 photo of sks dog
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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 - yangHhHT/dog_cute
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+
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+ These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog 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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