Update app.py

app.py

@@ -10,10 +10,15 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", torch_dtype=torch.float16) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0")
 pipe = pipe.to(device)
 
+def resize(value,img):
+    img = Image.open(img)
+    img = img.resize((value,value))
+    return img
+
 def infer(source_img, prompt, negative_prompt, guide, steps, seed, Strength):
     generator = torch.Generator(device).manual_seed(seed)     
-    
-    image = pipe(prompt, negative_prompt=negative_prompt, image=source_img, strength=Strength, guidance_scale=guide, num_inference_steps=steps).images[0]
+    src = resize(768, source_img)
+    image = pipe(prompt, negative_prompt=negative_prompt, image=src, strength=Strength, guidance_scale=guide, num_inference_steps=steps).images[0]
     return image
 
 gr.Interface(fn=infer, inputs=[gr.Image(source='canvas'), gr.Textbox(label = 'Prompt Input Text. 77 Token (Keyword or Symbol) Maximum'), gr.Textbox(label='What you Do Not want the AI to generate.'),