simplify the implementation

app.py

@@ -87,12 +87,8 @@ def txt_to_img(model_path, prompt, neg_prompt, guidance, steps, width, height, g
     prompt = current_model.prefix + prompt
     result = pipe(
       prompt,
-      negative_prompt = neg_prompt,
-      # num_images_per_prompt=n_images,
       num_inference_steps = int(steps),
       guidance_scale = guidance,
-      width = width,
-      height = height,
       generator = generator)
     
     return replace_nsfw_images(result)
@@ -118,7 +114,7 @@ def img_to_img(model_path, prompt, neg_prompt, img, strength, guidance, steps, w
     img = img.resize((int(img.width * ratio), int(img.height * ratio)), Image.LANCZOS)
     result = pipe(
         prompt,
-        negative_prompt = neg_prompt,
+        # negative_prompt = neg_prompt,
         # num_images_per_prompt=n_images,
         init_image = img,
         num_inference_steps = int(steps),
@@ -227,7 +223,8 @@ with gr.Blocks(css=css) as demo:
         with gr.Column(scale=45):
           with gr.Tab("Options"):
             with gr.Group():
-              neg_prompt = gr.Textbox(label="Negative prompt", placeholder="What to exclude from the image")
+            #   neg_prompt = gr.Textbox(label="Negative prompt", placeholder="What to exclude from the image")
+              neg_prompt = ""
 
               # n_images = gr.Slider(label="Images", value=1, minimum=1, maximum=4, step=1)