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.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
+checkpoint-100/paddle_lora_weights.pdparams filter=lfs diff=lfs merge=lfs -text
+checkpoint-200/paddle_lora_weights.pdparams filter=lfs diff=lfs merge=lfs -text
+checkpoint-300/paddle_lora_weights.pdparams filter=lfs diff=lfs merge=lfs -text
+checkpoint-400/paddle_lora_weights.pdparams filter=lfs diff=lfs merge=lfs -text
+checkpoint-500/paddle_lora_weights.pdparams filter=lfs diff=lfs merge=lfs -text
+paddle_lora_weights.pdparams filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,23 @@
+---
+license: creativeml-openrail-m
+base_model: runwayml/stable-diffusion-v1-5
+tags:
+- stable-diffusion
+- stable-diffusion-ppdiffusers
+- text-to-image
+- ppdiffusers
+- lora
+- paddlepaddle
+inference: false
+---
+    
+# LoRA DreamBooth
+
+These are LoRA adaption weights for https://huggingface.co/patrickvonplaten/dummy. 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. 
+
+这些是使用 https://github.com/PaddlePaddle/PaddleNLP/tree/develop/ppdiffusers/examples/dreambooth/train_dreambooth_lora.py 代码训练得到的 LoRA 权重。这些权重是在使用DreamBooth 的 sks 狗的照片上训练的。我们可以在下面看到一些生成的示例图片。
+
+![img_0](./image_0.jpg)
+![img_1](./image_1.jpg)
+![img_2](./image_2.jpg)
+![img_3](./image_3.jpg)

checkpoint-100/paddle_lora_weights.pdparams

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