Update app.py

app.py

@@ -2,6 +2,9 @@ import gradio as gr
 import numpy as np
 from optimum.intel import OVStableDiffusionPipeline, OVStableDiffusionXLPipeline, OVLatentConsistencyModelPipeline
 from diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker
+from diffusers import DiffusionPipeline
+
+
 
 
 # model_id = "echarlaix/sdxl-turbo-openvino-int8"
@@ -12,17 +15,19 @@ from diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker
 model_id = "OpenVINO/LCM_Dreamshaper_v7-int8-ov"
 #pipeline = OVLatentConsistencyModelPipeline.from_pretrained(model_id, compile=False, safety_checker=safety_checker)
 pipeline = OVLatentConsistencyModelPipeline.from_pretrained(model_id, compile=False)
-
+pipeline.load_lora_weights("EvilEngine/easynegative")
 
 batch_size, num_images, height, width = 1, 1, 512, 512
 pipeline.reshape(batch_size=batch_size, height=height, width=width, num_images_per_prompt=num_images)
 pipeline.compile()
 
+negative_prompt="easynegative"
+
 def infer(prompt, num_inference_steps):
 
     image = pipeline(
         prompt = prompt, 
-        #negative_prompt = negative_prompt, #no negative_prompt keyword in LatentConsistencyPipelineMixin
+        negative_prompt = negative_prompt, #no negative_prompt keyword in LatentConsistencyPipelineMixin
         # guidance_scale = guidance_scale,
         num_inference_steps = num_inference_steps, 
         width = width,