Update app.py

app.py

@@ -14,7 +14,7 @@ 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)
 
-batch_size, num_images, height, width = 1, 1, 512, 512
+batch_size, num_images, height, width = 1, 2, 512, 512
 pipeline.reshape(batch_size=batch_size, height=height, width=width, num_images_per_prompt=num_images)
 pipeline.load_textual_inversion("./badhandv4.pt", "badhandv4")
 pipeline.compile()
@@ -22,17 +22,17 @@ 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, negative_prompt, num_inference_steps):
+def infer(prompt, num_inference_steps):
 
     image = pipeline(
         prompt = prompt, 
-        negative_prompt = negative_prompt,
+        #negative_prompt = negative_prompt,
         # guidance_scale = guidance_scale,
         num_inference_steps = num_inference_steps, 
         width = width,
         height = height,
         num_images_per_prompt=num_images,
-    ).images[0] 
+    ).images
     
     return image
 
@@ -72,12 +72,12 @@ with gr.Blocks(css=css) as demo:
         result = gr.Image(label="Result", show_label=False)
 
         with gr.Accordion("Advanced Settings", open=False):
-            with gr.Row():
-             negative_prompt = gr.Text(
-                 label="Negative prompt",
-                 max_lines=1,
-                 placeholder="Enter a negative prompt",
-             )
+            #with gr.Row():
+            # negative_prompt = gr.Text(
+            #     label="Negative prompt",
+            #     max_lines=1,
+            #     placeholder="Enter a negative prompt",
+            # )
             
             with gr.Row():
                 
@@ -96,7 +96,7 @@ with gr.Blocks(css=css) as demo:
 
     run_button.click(
         fn = infer,
-        inputs = [prompt, negative_prompt, num_inference_steps],
+        inputs = [prompt, num_inference_steps],
         outputs = [result]
     )