Update app.py

app.py

@@ -59,7 +59,7 @@ model_id_or_path = "CompVis/stable-diffusion-v1-4"
 pipe = StableDiffusionInpaintingPipeline.from_pretrained(
     model_id_or_path,
     revision="fp16", 
-    torch_dtype=torch.float16, #float16
+    torch_dtype=torch.float, #float16
     use_auth_token=auth_token
 )
 
@@ -219,7 +219,7 @@ with image_blocks as demo:
                 </div>
                 
                 
-            <div id="readme" >
+            <div class="acknowledgments" >
     <article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-image-segmentation-using-text-and-image-prompts" class="anchor" aria-hidden="true" href="#image-segmentation-using-text-and-image-prompts"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>Image Segmentation Using Text and Image Prompts</h1>
 <p dir="auto">This repository contains the code used in the paper <a href="https://arxiv.org/abs/2112.10003" rel="nofollow">"Image Segmentation Using Text and Image Prompts"</a>.</p>