Update app.py

app.py

@@ -168,7 +168,7 @@ def process_image(img, width, height):
     return img.resize((int(img.width * ratio), int(img.height * ratio)), Image.LANCZOS)
 
 
-def inference_image(pipe, model_path, prompt, mode, *args, **kwargs):
+def inference_image(model_path, prompt, mode, *args, **kwargs):
     print(f"{datetime.datetime.now()} {mode}, model: {model_path}")
     global pipe
     load_model(pipe, model_path, mode)
@@ -182,7 +182,7 @@ def inference_image(pipe, model_path, prompt, mode, *args, **kwargs):
     return replace_nsfw_images(result)
 
 def txt_to_img(model_path, prompt, n_images, neg_prompt, guidance, steps, width, height, generator, seed):
-    return inference_image(pipe, model_path, prompt, "txt2img", 
+    return inference_image(model_path, prompt, "txt2img", 
         negative_prompt=neg_prompt, 
         num_images_per_prompt=n_images,
         num_inference_steps=int(steps),
@@ -195,7 +195,7 @@ def txt_to_img(model_path, prompt, n_images, neg_prompt, guidance, steps, width,
 
 def img_to_img(model_path, prompt, n_images, neg_prompt, img, strength, guidance, steps, width, height, generator, seed):
     img = process_image(img, width, height)
-    return inference_image(pipe, model_path, prompt, "img2img", 
+    return inference_image(model_path, prompt, "img2img", 
         negative_prompt=neg_prompt,
         num_images_per_prompt=n_images,
         image=img,