Update app.py

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import spaces
+import random
 
 import torch
 from diffusers import FluxPipeline
@@ -14,7 +15,7 @@ def generate(prompt, negative_prompt, width, height, sample_steps, lora_id):
     except RepositoryNotFoundError:
         raise ValueError(f"Recieved invalid FLUX LoRA.")
     
-    return pipeline(prompt=f"{prompt}\nDO NOT INCLUDE {negative_prompt}", width=width, height=height, num_inference_steps=sample_steps, generator=torch.Generator("cpu").manual_seed(42), guidance_scale=7).images[0]
+    return pipeline(prompt=f"{prompt}\nDO NOT INCLUDE {negative_prompt}", width=width, height=height, num_inference_steps=sample_steps, generator=torch.Generator("cpu").manual_seed(random.randint(42, 69)), guidance_scale=7).images[0]
 
 with gr.Blocks() as interface:
         with gr.Column():