support size checker

diffsynth/pipelines/base.py

@@ -7,14 +7,26 @@ from torchvision.transforms import GaussianBlur
 
 class BasePipeline(torch.nn.Module):
 
-    def __init__(self, device="cuda", torch_dtype=torch.float16):
+    def __init__(self, device="cuda", torch_dtype=torch.float16, height_division_factor=64, width_division_factor=64):
         super().__init__()
         self.device = device
         self.torch_dtype = torch_dtype
+        self.height_division_factor = height_division_factor
+        self.width_division_factor = width_division_factor
         self.cpu_offload = False
         self.model_names = []
 
 
+    def check_resize_height_width(self, height, width):
+        if height % self.height_division_factor != 0:
+            height = (height + self.height_division_factor - 1) // self.height_division_factor * self.height_division_factor
+            print(f"The height cannot be evenly divided by {self.height_division_factor}. We round it up to {height}.")
+        if width % self.width_division_factor != 0:
+            width = (width + self.width_division_factor - 1) // self.width_division_factor * self.width_division_factor
+            print(f"The width cannot be evenly divided by {self.width_division_factor}. We round it up to {width}.")
+        return height, width
+
+
     def preprocess_image(self, image):
         image = torch.Tensor(np.array(image, dtype=np.float32) * (2 / 255) - 1).permute(2, 0, 1).unsqueeze(0)
         return image

diffsynth/pipelines/flux_image.py

@@ -15,7 +15,7 @@ from ..models.tiler import FastTileWorker
 class FluxImagePipeline(BasePipeline):
 
     def __init__(self, device="cuda", torch_dtype=torch.float16):
-        super().__init__(device=device, torch_dtype=torch_dtype)
+        super().__init__(device=device, torch_dtype=torch_dtype, height_division_factor=16, width_division_factor=16)
         self.scheduler = FlowMatchScheduler()
         self.prompter = FluxPrompter()
         # models

diffsynth/pipelines/hunyuan_image.py

@@ -125,7 +125,7 @@ class ImageSizeManager:
 class HunyuanDiTImagePipeline(BasePipeline):
 
     def __init__(self, device="cuda", torch_dtype=torch.float16):
-        super().__init__(device=device, torch_dtype=torch_dtype)
+        super().__init__(device=device, torch_dtype=torch_dtype, height_division_factor=16, width_division_factor=16)
         self.scheduler = EnhancedDDIMScheduler(prediction_type="v_prediction", beta_start=0.00085, beta_end=0.03)
         self.prompter = HunyuanDiTPrompter()
         self.image_size_manager = ImageSizeManager()

diffsynth/pipelines/sd3_image.py

@@ -10,7 +10,7 @@ from tqdm import tqdm
 class SD3ImagePipeline(BasePipeline):
 
     def __init__(self, device="cuda", torch_dtype=torch.float16):
-        super().__init__(device=device, torch_dtype=torch_dtype)
+        super().__init__(device=device, torch_dtype=torch_dtype, height_division_factor=16, width_division_factor=16)
         self.scheduler = FlowMatchScheduler()
         self.prompter = SD3Prompter()
         # models