End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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+image_1.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: stabilityai/stable-diffusion-3-medium-diffusers
+library_name: diffusers
+license: openrail++
+tags:
+- text-to-image
+- diffusers-training
+- diffusers
+- sd3
+- sd3-diffusers
+- template:sd-lora
+instance_prompt: a photo of ohwx cat
+widget:
+- text: A photo of ohwx cat sitting on the wooden floor in the studio with gray background
+  output:
+    url: image_0.png
+- text: A photo of ohwx cat sitting on the wooden floor in the studio with gray background
+  output:
+    url: image_1.png
+- text: A photo of ohwx cat sitting on the wooden floor in the studio with gray background
+  output:
+    url: image_2.png
+- text: A photo of ohwx cat sitting on the wooden floor in the studio with gray background
+  output:
+    url: image_3.png
+---
+
+<!-- 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. -->
+
+
+# SD3 DreamBooth LoRA - ainjarts/graycat_sd3_lora
+
+<Gallery />
+
+## Model description
+
+These are ainjarts/graycat_sd3_lora DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
+
+The weights were trained  using [DreamBooth](https://dreambooth.github.io/).
+
+## Trigger words
+
+You should use a photo of ohwx cat to trigger the image generation.
+
+## Download model
+
+[Download](ainjarts/graycat_sd3_lora/tree/main) them in the Files & versions tab.
+
+## License
+
+Please adhere to the licensing terms as described `[here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE)`.
+
+
+## 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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