fix bug of converting BF16 tensor to pillow image

py/imagefunc.py

@@ -137,7 +137,15 @@ def tensor2np(tensor: torch.Tensor) -> List[np.ndarray]:
         return [np.clip(255.0 * t.cpu().numpy(), 0, 255).astype(np.uint8) for t in tensor]
 
 def tensor2pil(t_image: torch.Tensor)  -> Image:
-    return Image.fromarray(np.clip(255.0 * t_image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8))
+    if t_image.dtype != torch.float32:
+        t_image = t_image.float()
+    return Image.fromarray(
+        np.clip(
+            255.0 * t_image.cpu().numpy().squeeze(),
+            0,
+            255
+        ).astype(np.uint8)
+    )
 
 def tensor2cv2(image:torch.Tensor) -> np.array:
     if image.dim() == 4:

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "ComfyUI_LayerStyle_Advance"
 description = "The nodes detached from ComfyUI Layer Style are mainly those with complex requirements for dependency packages."
-version = "2.0.32"
+version = "2.0.33"
 license = { text = "MIT License" }
 dependencies = ["numpy", "matplotlib", "scikit_image", "scikit_learn", "opencv-contrib-python", "pymatting", "timm", "blend_modes", "transformers", "diffusers", "loguru", "colour-science", "huggingface_hub", "segment_anything", "addict", "omegaconf", "yapf", "wget", "iopath", "mediapipe", "typer_config", "fastapi", "rich", "google-generativeai", "ultralytics", "transparent-background", "accelerate", "onnxruntime", "bitsandbytes", "peft", "protobuf", "hydra-core", "blind-watermark", "qrcode", "pyzbar", "psd-tools", "wandb", "zhipuai", "openai","google-genai", "fastapi","typer-config"]