Update app.py

app.py

@@ -34,7 +34,7 @@ pipe.fuse_lora()
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 512
 
-def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
+def infer(prompt, seed, randomize_seed, num_inference_steps):
 
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
@@ -43,11 +43,8 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
     
     image = pipe(
         prompt = prompt, 
-        negative_prompt = negative_prompt,
-        guidance_scale = guidance_scale, 
+        guidance_scale = 0, 
         num_inference_steps = num_inference_steps, 
-        width = width, 
-        height = height,
         generator = generator
     ).images[0] 
     
@@ -126,7 +123,7 @@ with gr.Blocks(css=css) as demo:
 
     run_button.click(
         fn = infer,
-        inputs = [prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
+        inputs = [prompt, seed, randomize_seed, num_inference_steps],
         outputs = [result]
     )