End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: CompVis/stable-diffusion-v1-4
+instance_prompt: a photo of sks dog
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    
+# LoRA DreamBooth - LumosD/aa
+
+These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog 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.

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+instance_prompt: a photo of sks dog
+learning_rate: 0.0001
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+logging_dir: logs
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+num_class_images: 100
+num_train_epochs: 80
+num_validation_images: 4
+output_dir: aa
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+prior_loss_weight: 1.0
+push_to_hub: true
+rank: 4
+report_to: tensorboard
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+seed: 0
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+validation_prompt: A photo of sks dog in a bucket
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