End of training

README.md

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+---
+license: creativeml-openrail-m
+library_name: diffusers
+tags:
+- text-to-image
+- diffusers
+- lora
+- stable-diffusion
+- stable-diffusion-diffusers
+inference: true
+base_model: runwayml/stable-diffusion-v1-5
+instance_prompt: a picture of the Sun in the center of the solar system, emitting
+  high intensity light. It is in bright yellow color with reddish-brown spots on the
+  surface. It is present in space which has dark background, embedded with a cluster
+  of small-sized bright stars.
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# LoRA DreamBooth - fyp-admin/dreambooth_Sun_15
+
+These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a picture of the Sun in the center of the solar system, emitting high intensity light. It is in bright yellow color with reddish-brown spots on the surface. 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. 
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)
+
+
+LoRA for the text encoder was enabled: False.
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

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