Update app.py

app.py

@@ -1,24 +1,20 @@
 from diffusers import StableDiffusionXLPipeline
 import torch
-from gradio import Interface, Image, Dropdown, Slider
 import gradio as gr
-import spaces
 
+# Load the model
 model_id = "RunDiffusion/Juggernaut-X-v10"
-pipe = StableDiffusionXLPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
-pipe = pipe.to("cuda")
+pipe = StableDiffusionXLPipeline.from_pretrained(model_id, torch_dtype=torch.float32)
+pipe = pipe.to("cpu")
 
-@spaces.GPU()
-def text_to_image(prompt, negative_prompt, steps, guidance_scale, add_4k_masterpiece, progress=gr.Progress(track_tqdm=True)):
+def text_to_image(prompt, negative_prompt, steps, guidance_scale, add_4k_masterpiece):
     if add_4k_masterpiece:
         prompt += ", 4k, (masterpiece)"
     image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=steps, guidance_scale=guidance_scale).images[0]
     return image
-duplicate_button = gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
 
-gradio_interface = Interface(
+gradio_interface = gr.Interface(
     fn=text_to_image,
-    allow_duplication=True,
     inputs=[
         gr.Textbox(label="Prompt", lines=2, placeholder="Enter your prompt here..."),
         gr.Textbox(label="Negative Prompt", lines=2, placeholder="What to exclude from the image..."),
@@ -26,11 +22,12 @@ gradio_interface = Interface(
         gr.Slider(minimum=1, maximum=20, value=7.5, label="Guidance Scale", step=0.1),
         gr.Checkbox(label="Add recommended prompt items (4k, masterpiece)", value=False)
     ],
-    outputs=Image(type="pil", show_download_button=True),
+    outputs=gr.Image(type="pil", show_download_button=True),
     examples=[
-        ["magical kitten, 4k, high quality, (masterpiece)"],
+        ["magical kitten, 4k, high quality, (masterpiece)", "", 50, 7.5, False],
     ],
     cache_examples=False,
     theme=gr.themes.Soft()
 )
+
 gradio_interface.launch()