End of training

README.md

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+---
+base_model: stabilityai/stable-diffusion-2
+library_name: diffusers
+license: creativeml-openrail-m
+tags:
+- text-to-image
+- diffusers
+- lora
+- diffusers-training
+- stable-diffusion
+- stable-diffusion-diffusers
+inference: true
+instance_prompt: a piece of jewellery showcasing intricate craftsmanship. The item
+  reflects elegant design, fine materials, and detailed ornamentation, suitable for
+  various styles and occasions.
+---
+
+<!-- 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 - poojan1202/lora-trained-2.1x30
+
+These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were trained on a piece of jewellery showcasing intricate craftsmanship. The item reflects elegant design, fine materials, and detailed ornamentation, suitable for various styles and occasions. 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: True.
+
+
+## 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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