End of training

README.md

@@ -1,25 +1,15 @@
 
 ---
-license: creativeml-openrail-m
-base_model: stabilityai/stable-diffusion-2-1
-instance_prompt: a photo of a Beaver Tail kisok
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: photo of a Oculus device
 tags:
-- stable-diffusion
-- stable-diffusion-diffusers
 - text-to-image
 - diffusers
-- lora
+- autotrain
 inference: true
 ---
     
-# LoRA DreamBooth - anupamtripathi/model_2
+# DreamBooth trained by AutoTrain
 
-These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on a photo of a Beaver Tail kisok using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following. 
+Text encoder was not trained.
 
-![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.

prompt.txt

@@ -0,0 +1 @@
+photo of a Oculus device

pytorch_lora_weights.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:41d47c6fdf96baa358e8e0e7077feb7f9b4c8be6bec8304c724873052c01fed0
-size 3359728
+oid sha256:0cbc99adbf39d080313c7d2ccb1824eca72441defaaec3d32062337a3d3d608e
+size 23401064