fix(api-nodes): do not downscale the input image for Topaz Enhance (#11768)

comfy_api_nodes/nodes_topaz.py

@@ -2,7 +2,6 @@ import builtins
 from io import BytesIO
 
 import aiohttp
-import torch
 from typing_extensions import override
 
 from comfy_api.latest import IO, ComfyExtension, Input
@@ -138,7 +137,7 @@ class TopazImageEnhance(IO.ComfyNode):
     async def execute(
         cls,
         model: str,
-        image: torch.Tensor,
+        image: Input.Image,
         prompt: str = "",
         subject_detection: str = "All",
         face_enhancement: bool = True,
@@ -153,7 +152,9 @@ class TopazImageEnhance(IO.ComfyNode):
     ) -> IO.NodeOutput:
         if get_number_of_images(image) != 1:
             raise ValueError("Only one input image is supported.")
-        download_url = await upload_images_to_comfyapi(cls, image, max_images=1, mime_type="image/png")
+        download_url = await upload_images_to_comfyapi(
+            cls, image, max_images=1, mime_type="image/png", total_pixels=4096*4096
+        )
         initial_response = await sync_op(
             cls,
             ApiEndpoint(path="/proxy/topaz/image/v1/enhance-gen/async", method="POST"),

comfy_api_nodes/util/upload_helpers.py

@@ -49,6 +49,7 @@ async def upload_images_to_comfyapi(
     mime_type: str | None = None,
     wait_label: str | None = "Uploading",
     show_batch_index: bool = True,
+    total_pixels: int = 2048 * 2048,
 ) -> list[str]:
     """
     Uploads images to ComfyUI API and returns download URLs.
@@ -63,7 +64,7 @@ async def upload_images_to_comfyapi(
 
     for idx in range(num_to_upload):
         tensor = image[idx] if is_batch else image
-        img_io = tensor_to_bytesio(tensor, mime_type=mime_type)
+        img_io = tensor_to_bytesio(tensor, total_pixels=total_pixels, mime_type=mime_type)
 
         effective_label = wait_label
         if wait_label and show_batch_index and num_to_upload > 1: