End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+image_0.png filter=lfs diff=lfs merge=lfs -text
+image_1.png filter=lfs diff=lfs merge=lfs -text
+image_2.png filter=lfs diff=lfs merge=lfs -text
+image_3.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model: Efficient-Large-Model/Sana_1600M_1024px_diffusers
+library_name: diffusers
+license: other
+instance_prompt: a photo of sks dog
+widget:
+- text: A photo of sks dog in a bucket
+  output:
+    url: image_0.png
+- text: A photo of sks dog in a bucket
+  output:
+    url: image_1.png
+- text: A photo of sks dog in a bucket
+  output:
+    url: image_2.png
+- text: A photo of sks dog in a bucket
+  output:
+    url: image_3.png
+tags:
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- sana
+- sana-diffusers
+- template:sd-lora
+---
+
+<!-- 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. -->
+
+
+# Sana DreamBooth LoRA - ariG23498/trained-sana-lora
+
+<Gallery />
+
+## Model description
+
+These are ariG23498/trained-sana-lora DreamBooth LoRA weights for Efficient-Large-Model/Sana_1600M_1024px_diffusers.
+
+The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [Sana diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sana.md).
+
+
+## Trigger words
+
+You should use `a photo of sks dog` to trigger the image generation.
+
+## Download model
+
+[Download the *.safetensors LoRA](ariG23498/trained-sana-lora/tree/main) in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+TODO
+```
+
+For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
+
+## License
+
+TODO
+
+
+## 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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