Update app.py

app.py

@@ -254,7 +254,7 @@ def predict_mask(segmentmodel, sam, image, TEXT_PROMPT, segmentType, confidence
 def build_model_sd(pretrained_model, controlnet_path, face_adapter, device, prompts, antelopev2_path, width, height, style_lora):
     controlnet = ControlNetModel.from_pretrained(controlnet_path, torch_dtype=torch.float16)
     pipe = InstantidMultiConceptPipeline.from_pretrained(
-        pretrained_model, controlnet=controlnet, torch_dtype=torch.float16, variant="fp16").to(device)
+        pretrained_model, controlnet=controlnet, torch_dtype=torch.float16).to(device)
 
     controller = AttentionReplace(prompts, 50, cross_replace_steps={"default_": 1.},
                                   self_replace_steps=0.4, tokenizer=pipe.tokenizer, device=device, width=width, height=height,