Update app.py

app.py

@@ -15,7 +15,7 @@ headers = {"Authorization": f"Bearer {API_TOKEN}"}
 timeout = 50000  # タイムアウトを300秒に設定
 
 # Function to query the API and return the generated image
-def query(prompt, negative_prompt="", steps=35, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=1024, height=1024, num_inference_steps=30, guidance_scale=7.5, num_return_sequences=1, temperature=1.0, top_k=50, top_p=0.9, eta=0.1):
+def query(prompt, negative_prompt="", steps=35, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=1024, height=1024, num_inference_steps=30, guidance_scale=7.5, num_return_sequences=1, top_k=50, top_p=0.9, eta=0.1):
     if not prompt:
         return None, "Prompt is required"
 
@@ -42,7 +42,6 @@ def query(prompt, negative_prompt="", steps=35, cfg_scale=7, sampler="DPM++ 2M K
             "height": height,
             "num_inference_steps": num_inference_steps,
             "guidance_scale": guidance_scale,
-            "temperature": temperature,
             "top_k": top_k,
             "top_p": top_p,
             "eta": eta
@@ -107,8 +106,6 @@ def generate_image():
     height = int(request.args.get("height", 1024))
     num_inference_steps = int(request.args.get("num_inference_steps", 30))
     guidance_scale = float(request.args.get("guidance_scale", 7.5))
-    num_return_sequences = int(request.args.get("num_return_sequences", 1))
-    temperature = float(request.args.get("temperature", 1.0))
     top_k = int(request.args.get("top_k", 50))
     top_p = float(request.args.get("top_p", 0.9))
     eta = float(request.args.get("eta", 0.1))