Update app.py

app.py

@@ -2,10 +2,6 @@ import spaces
 import gradio as gr
 import numpy as np
 import random
-
-
-import io
-import base64
 import torch
 from diffusers import StableDiffusion3Pipeline, SD3Transformer2DModel, FlowMatchEulerDiscreteScheduler
 from diffusers import AutoPipelineForText2Image
@@ -79,13 +75,19 @@ def infer(prompt, negative_prompt, seed, randomize_seed, width, height, guidance
         height = height,
         generator = generator
                     ).images[0]
-    
 
-    buffered = io.BytesIO()
-    image.save(buffered, format="WEBP")
-    img_base64 = base64.b64encode(buffered.getvalue()).decode("utf-8")
-    img_data_url = f"data:image/webp;base64,{img_base64}"
-    print(img_data_url)
+
+    
+    # image = pipe(
+    #     prompt = prompt, 
+    #     negative_prompt = negative_prompt,
+    #     guidance_scale = guidance_scale, 
+    #     num_inference_steps = num_inference_steps, 
+    #     width = width, 
+    #     height = height,
+    #     generator = generator
+    # ).images[0] 
+    
     return image, seed
 
 examples = [