End of training

.gitattributes

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+image_0.png filter=lfs diff=lfs merge=lfs -text
+image_1.png filter=lfs diff=lfs merge=lfs -text
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README.md

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+
+---
+tags:
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+- text-to-image
+- diffusers
+- lora
+- template:sd-lora
+widget:
+
+        - text: 'a <s0><s1> webpage about the movie Mean Girls'
+          output:
+            url:
+                "image_0.png"
+        
+        - text: 'a <s0><s1> webpage about the movie Mean Girls'
+          output:
+            url:
+                "image_1.png"
+        
+        - text: 'a <s0><s1> webpage about the movie Mean Girls'
+          output:
+            url:
+                "image_2.png"
+        
+        - text: 'a <s0><s1> webpage about the movie Mean Girls'
+          output:
+            url:
+                "image_3.png"
+        
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: a <s0><s1> webpage
+license: openrail++
+---
+    
+# SDXL LoRA DreamBooth - LinoyTsaban/web_y2k_v4
+
+<Gallery />
+
+## Model description
+
+### These are LinoyTsaban/web_y2k_v4 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+
+The weights were trained  using [DreamBooth](https://dreambooth.github.io/).
+
+LoRA for the text encoder was enabled: False.
+
+Pivotal tuning was enabled: True.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
+
+## Trigger words
+
+To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:
+
+to trigger concept `TOK->` use `<s0><s1>` in your prompt 
+
+
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](LinoyTsaban/web_y2k_v4/tree/main) them in the Files & versions tab.
+

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