Update app.py

app.py

@@ -1,14 +1,15 @@
 import os
 import asyncio
+import concurrent.futures
 from io import BytesIO
 from diffusers import AutoPipelineForText2Image
 import gradio as gr
 from generate_prompts import generate_prompt
 
-# Initialize model
+# Initialize model globally
 model = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo")
 
-async def generate_image(prompt, prompt_name):
+def generate_image(prompt, prompt_name):
     """
     Generates an image based on the provided prompt.
     Parameters:
@@ -19,7 +20,7 @@ async def generate_image(prompt, prompt_name):
     """
     try:
         print(f"Generating image for {prompt_name}")
-        output = model(prompt=prompt, num_inference_steps=1, guidance_scale=0.0)
+        output = model(prompt=prompt, num_inference_steps=50, guidance_scale=7.5)
         if isinstance(output.images, list) and len(output.images) > 0:
             image = output.images[0]
             buffered = BytesIO()
@@ -34,7 +35,7 @@ async def generate_image(prompt, prompt_name):
 
 async def queue_api_calls(sentence_mapping, character_dict, selected_style):
     """
-    Generates images for all provided prompts in parallel using asyncio.
+    Generates images for all provided prompts in parallel using ProcessPoolExecutor.
     Parameters:
         - sentence_mapping (dict): Mapping between paragraph numbers and sentences.
         - character_dict (dict): Dictionary mapping characters to their descriptions.
@@ -48,8 +49,13 @@ async def queue_api_calls(sentence_mapping, character_dict, selected_style):
         prompt = generate_prompt(combined_sentence, sentence_mapping, character_dict, selected_style)
         prompts.append((paragraph_number, prompt))
 
-    tasks = [generate_image(prompt, f"Prompt {paragraph_number}") for paragraph_number, prompt in prompts]
-    responses = await asyncio.gather(*tasks)
+    loop = asyncio.get_running_loop()
+    with concurrent.futures.ProcessPoolExecutor() as pool:
+        tasks = [
+            loop.run_in_executor(pool, generate_image, prompt, f"Prompt {paragraph_number}")
+            for paragraph_number, prompt in prompts
+        ]
+        responses = await asyncio.gather(*tasks)
     
     images = {paragraph_number: response for (paragraph_number, _), response in zip(prompts, responses)}
     return images