Update inferencer.py

inferencer.py

@@ -17,7 +17,7 @@ class UniPicV2Inferencer:
         self,
         model_path: str,
         qwen_vl_path: str,
-        quant: str = "int4",  # {"int4", "fp16"}
+        quant: str = "fp16",  # {"int4", "fp16"}
         image_size: int = 512,
         default_negative_prompt: str = "blurry, low quality, low resolution, distorted, deformed, broken content, missing parts, damaged details, artifacts, glitch, noise, pixelated, grainy, compression artifacts, bad composition, wrong proportion, incomplete editing, unfinished, unedited areas."
     ):
@@ -27,7 +27,7 @@ class UniPicV2Inferencer:
         self.image_size = image_size
         self.default_negative_prompt = default_negative_prompt
         self.device = torch.device("cuda")
-        self.pipeline = None#self._init_pipeline()
+        self.pipeline = None #self._init_pipeline()
 
     def _init_pipeline(self) -> StableDiffusion3KontextPipeline:
         print("Initializing UniPicV2 pipeline...")