Update app.py

app.py

@@ -16,16 +16,17 @@ pipeline = OVLatentConsistencyModelPipeline.from_pretrained(model_id, compile=Fa
 
 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)
+pipe.load_textual_inversion("./badhandv4.pt", "badhandv4")
 pipeline.compile()
 
 #TypeError: LatentConsistencyPipelineMixin.__call__() got an unexpected keyword argument 'negative_prompt'
 #negative_prompt="easynegative,bad anatomy, bad hands, missing fingers, extra fingers, three hands, three legs, bad arms, missing legs, missing arms, poorly drawn face, bad face, fused face, cloned face, three crus, fused feet, fused thigh, extra crus, ugly fingers, horn, cartoon, cg, 3d, unreal, animate, amputation, disconnected limbs, nsfw, nude, censored,  "
-
-def infer(prompt, num_inference_steps):
+negative_prompt=""
+def infer(prompt, negative_prompt, num_inference_steps):
 
     image = pipeline(
         prompt = prompt, 
-        #negative_prompt = negative_prompt, #no negative_prompt keyword in LatentConsistencyPipelineMixin
+        negative_prompt = negative_prompt,
         # guidance_scale = guidance_scale,
         num_inference_steps = num_inference_steps, 
         width = width,
@@ -96,7 +97,7 @@ with gr.Blocks(css=css) as demo:
 
     run_button.click(
         fn = infer,
-        inputs = [prompt, num_inference_steps],
+        inputs = [prompt, negative_prompt, num_inference_steps],
         outputs = [result]
     )