more final changes??

app.py

@@ -4,21 +4,19 @@ import torch
 from diffusers import DiffusionPipeline
 import rembg
 
-model_id = "stabilityai/stable-diffusion-xl-base-1.0"
+model_id = "dataautogpt3/OpenDalleV1.1"
 pipe = DiffusionPipeline.from_pretrained(model_id,
                                          torch_dtype=torch.float16,
-                                        use_safetensors=True,)
-
-pipe.load_lora_weights("CiroN2022/shoes", weight_name="shoes.safetensors", adapter_name="shoes")
-pipe.set_adapters("shoes")
+                                        use_safetensors=True,
+                                        variant="fp16")
 
 pipe.to("cuda")
 
 # Function to generate an image from text using diffusion
 @spaces.GPU
-def generate_image(prompt):
-    
-    image = pipe(prompt).images
+def generate_image(prompt, neg_prompt):
+    prompt += "no background, side view, minimalist shot"
+    image = pipe(prompt, negative_prompt=neg_prompt, output_type="pil")
     image2 = rembg.remove(image)
     return image, image2
 
@@ -26,7 +24,7 @@ _TITLE = "Shoe Generator"
 with gr.Blocks(_TITLE) as ShoeGen:
     with gr.Row():
         with gr.Column():
-            prompt = gr.Textbox(label="Enter a prompt")
+            prompt = gr.Textbox(label="Enter a discription of a shoe", value="no background, side view, minimalist shot")
             neg_prompt = gr.Textbox(label="Enter a negative prompt", value="low quality, watermark, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, closed eyes, text, logo")
             button_gen = gr.Button("Generate Image")
         with gr.Column():