Update app.py

app.py

@@ -1,26 +1,9 @@
 import gradio as gr
-import numpy as np
-import random
-from diffusers import DiffusionPipeline
-from optimum.intel.openvino.modeling_diffusion import OVModelVaeDecoder, OVBaseModel, OVStableDiffusionPipeline
+from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionPipeline
 import torch
-from huggingface_hub import snapshot_download
-import openvino.runtime as ov
-from typing import Optional, Dict
-from diffusers import EulerAncestralDiscreteScheduler, LCMScheduler, DDIMScheduler
-
-
-
-#EulerDiscreteScheduler 尚可
-#EulerAncestralDiscreteScheduler 
-
 
 model_id = "hsuwill000/LCM-absolutereality-openvino-8bit"
 
-#model_id = "spamsoms/LCM-anything-v5-openvino2"
-#adapter_id = "latent-consistency/lcm-lora-sdv1-5"
-
-
 HIGH=1024
 WIDTH=512
 
@@ -33,8 +16,6 @@ pipe = OVStableDiffusionPipeline.from_pretrained(
         compile = False, 
         ov_config = {"CACHE_DIR":""},
         torch_dtype=torch.uint8, 
-        #variant="fp16", 
-        #torch_dtype=torch.IntTensor, #慢,
         safety_checker=None,
         use_safetensors=False,
         )
@@ -46,12 +27,12 @@ pipe.reshape( batch_size=-1, height=HIGH, width=WIDTH, num_images_per_prompt=1)
 pipe.compile()
 
 prompt=""
-negative_prompt="EasyNegative, cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly,"
+negative_prompt=f"EasyNegative, cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly,"
 
 def infer(prompt,negative_prompt):
 
     image = pipe(
-        prompt = prompt+",hyper-realistic 2K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic, ", 
+        prompt = f",hyper-realistic 2K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic, ", 
         negative_prompt = negative_prompt,
         width = WIDTH, 
         height = HIGH,