Better way of doing the generator for the hunyuan image noise aug. (comfyanonymous#9834)

Author: comfyanonymous

comfy/model_base.py

@@ -1448,7 +1448,9 @@ def concat_cond(self, **kwargs):
             image = self.process_latent_in(image)
             image = utils.resize_to_batch_size(image, noise.shape[0])
             if noise_augmentation > 0:
-                noise = torch.randn(image.shape, generator=torch.manual_seed(kwargs.get("seed", 0) - 10), dtype=image.dtype, device="cpu").to(image.device)
+                generator = torch.Generator(device="cpu")
+                generator.manual_seed(kwargs.get("seed", 0) - 10)
+                noise = torch.randn(image.shape, generator=generator, dtype=image.dtype, device="cpu").to(image.device)
                 image = noise_augmentation * noise + min(1.0 - noise_augmentation, 0.75) * image
             else:
                 image = 0.75 * image