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End of training

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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: a picture of a Dwarf Planet in the center, in a mix of white color
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+ and reddish brown patches across the surface. Its far side is blurred. It is present
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+ in space which has dark background, embedded with a cluster of small-sized bright
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+ stars.
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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 - fyp-admin/dreambooth_Dwarf_Planets_15
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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 picture of a Dwarf Planet in the center, in a mix of white color and reddish brown patches across the surface. Its far side is blurred. It is present in space which has dark background, embedded with a cluster of small-sized bright stars. 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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