|  | @@ -70,7 +70,7 @@ def get_prompt(ai_scene_info):
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				|  |  |      # image_depth_path = image_path + "depth0001.png"
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				|  |  |  
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				|  |  |      prompt = json.loads(prompt_text_json)
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				|  |  | -    set_filename(prompt, "Save Image", "custom/basic_api_example")
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				|  |  | +    set_filename(prompt, "Save Image", "{project_id}/basic_api_example".format(project_id=ai_scene_info["project_id"]))
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				|  |  |  
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				|  |  |      ksampler_main = find_node(prompt, "KSampler")
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				|  |  |      ksampler_main["inputs"]["noise_seed"] = random.randint(0, 1000000)
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				|  | @@ -149,7 +149,9 @@ def main():
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				|  |  |      except Exception as e:
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				|  |  |          print("Error:", e)
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				|  |  |  
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				|  |  | -    prompt = get_prompt(ai_scene_info)    
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				|  |  | +    prompt = get_prompt(
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				|  |  | +        
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				|  |  | +    )    
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				|  |  |  
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				|  |  |      ws = websocket.WebSocket()
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				|  |  |      ws.connect("ws://{}/ws?clientId={}".format(server_address, client_id))
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