Update app.py

app.py

@@ -7,7 +7,7 @@ from diffusers import FluxPipeline
 pipeline = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.float16).to("cuda")
 #pipeline.enable_model_cpu_offload()
 
-@spaces.GPU(duration=190)
+@spaces.GPU(duration=70)
 def generate(prompt, negative_prompt, width, height, sample_steps):
     return pipeline(prompt=f"{prompt}\nDO NOT INCLUDE {negative_prompt}", width=width, height=height, num_inference_steps=sample_steps, generator=torch.Generator("cpu").manual_seed(42), guidance_scale=7).images[0]