Update app.py

app.py

@@ -2,14 +2,14 @@ import gradio as gr
 import spaces
 
 import torch
-from diffusers import DiffusionPipeline
+from diffusers import FluxPipeline
 
-pipeline = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev").to("cuda")
-pipeline.enable_model_cpu_offload()
+pipeline = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev").to("cuda")
+#pipeline.enable_model_cpu_offload()
 
-@spaces.GPU(duration=120)
+@spaces.GPU(duration=190)
 def generate(prompt, negative_prompt, width, height, sample_steps):
-    return pipeline(prompt=f"{prompt} DO NOT INCLUDE {negative_prompt} FOR ANY REASON", width=width, height=height, num_inference_steps=sample_steps, generator=torch.Generator("cpu").manual_seed(127), guidance_scale=7).images[0]
+    return pipeline(prompt=f"{prompt}\nDO NOT INCLUDE {negative_prompt} FOR ANY REASON", width=width, height=height, num_inference_steps=sample_steps, generator=torch.Generator("cpu").manual_seed(127), guidance_scale=7).images[0]
 
 with gr.Blocks() as interface:
         with gr.Column():