Update app.py

app.py

@@ -14,7 +14,7 @@ HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None #
 
 
 nb_req_simult=80 ########
-max_pending=4
+max_pending=3
 nb_gallery_model=5
 
 
@@ -24,6 +24,7 @@ tempo_update_actu=3.0
 now2 = 0
 inference_timeout = 300
 inference_timeout_w = 70
+inference_timeout_wp = 120
 MAX_SEED = 2**32-1
 
 
@@ -94,14 +95,12 @@ async def infer(model_str, prompt, nprompt="", height=None, width=None, steps=No
     if width is not None and width >= 256: kwargs["width"] = width
     if steps is not None and steps >= 1: kwargs["num_inference_steps"] = steps
     if cfg is not None and cfg > 0: cfg = kwargs["guidance_scale"] = cfg
-    noise = ""
     if seed >= 0: kwargs["seed"] = seed
-    else:
-        rand = randint(1, 500)
-        for i in range(rand):
-            noise += " "
+    else: kwargs["seed"] = randint(1, MAX_SEED-1)
+
+        
     task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn,
-                               prompt=f'{prompt} {noise}', negative_prompt=nprompt, **kwargs, token=HF_TOKEN))
+                               prompt=prompt, negative_prompt=nprompt, **kwargs, token=HF_TOKEN))
     await asyncio.sleep(3)
     try:
         result = await asyncio.wait_for(task, timeout=timeout)
@@ -542,7 +541,7 @@ def fonc_start(id_session,id_module,s,cont,list_models_to_gen):
     print(model_actu)
     print(task_actu)
     if use_warm_model:
-        result=gen_fn(model_actu, task_actu["prompt"], task_actu["nprompt"], task_actu["height"], task_actu["width"], task_actu["steps"], task_actu["cfg"], task_actu["seed"],inference_timeout_w)
+        result=gen_fn(model_actu, task_actu["prompt"], task_actu["nprompt"], task_actu["height"], task_actu["width"], task_actu["steps"], task_actu["cfg"], task_actu["seed"],inference_timeout_wp)
     else:
         result=gen_fn(model_actu, task_actu["prompt"], task_actu["nprompt"], task_actu["height"], task_actu["width"], task_actu["steps"], task_actu["cfg"], task_actu["seed"])
     print("reception")