Update app.py

app.py

@@ -9,18 +9,12 @@ from transformers import CLIPTextModel, CLIPTokenizer,T5EncoderModel, T5Tokenize
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-model_id = "black-forest-labs/FLUX.1-dev"
-adapter_id = "alimama-creative/FLUX.1-Turbo-Alpha"
-
-pipe = DiffusionPipeline.from_pretrained(model_id, torch_dtype=dtype).to(device)
-pipe.load_lora_weights(adapter_id)
-pipe.fuse_lora()
-#pipe = DiffusionPipeline.from_pretrained("sayakpaul/FLUX.1-merged", torch_dtype=dtype).to(device)
+pipe = DiffusionPipeline.from_pretrained("sayakpaul/FLUX.1-merged", torch_dtype=dtype).to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 
-@spaces.GPU()
+@spaces.GPU(duration=21)
 def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=8, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)