Comfy-Org/ComfyUI · error · ValueError

Unsupported resize type: {selected_type}

Error message

Unsupported resize type: {selected_type}

What it means

Raised by the Resize image node when selected_type (a ResizeType enum) matches none of the handled resize strategies. Because selected_type is an enum value derived from the combo, this raise is effectively unreachable through the normal UI and only fires if the enum is extended without updating execute, or a crafted prompt supplies an unknown value.

Source

Thrown at comfy_extras/nodes_post_processing.py:512

        if selected_type == ResizeType.SCALE_BY:
            return io.NodeOutput(scale_by(input, resize_type["multiplier"], scale_method))
        elif selected_type == ResizeType.SCALE_DIMENSIONS:
            return io.NodeOutput(scale_dimensions(input, resize_type["width"], resize_type["height"], scale_method, resize_type["crop"]))
        elif selected_type == ResizeType.SCALE_LONGER_DIMENSION:
            return io.NodeOutput(scale_longer_dimension(input, resize_type["longer_size"], scale_method))
        elif selected_type == ResizeType.SCALE_SHORTER_DIMENSION:
            return io.NodeOutput(scale_shorter_dimension(input, resize_type["shorter_size"], scale_method))
        elif selected_type == ResizeType.SCALE_WIDTH:
            return io.NodeOutput(scale_dimensions(input, resize_type["width"], 0, scale_method))
        elif selected_type == ResizeType.SCALE_HEIGHT:
            return io.NodeOutput(scale_dimensions(input, 0, resize_type["height"], scale_method))
        elif selected_type == ResizeType.SCALE_TOTAL_PIXELS:
            return io.NodeOutput(scale_total_pixels(input, resize_type["megapixels"], scale_method))
        elif selected_type == ResizeType.MATCH_SIZE:
            return io.NodeOutput(scale_match_size(input, resize_type["match"], scale_method, resize_type["crop"]))
        elif selected_type == ResizeType.SCALE_TO_MULTIPLE:
            return io.NodeOutput(scale_to_multiple_cover(input, resize_type["multiple"], scale_method))
        raise ValueError(f"Unsupported resize type: {selected_type}")

def batch_images(images: list[torch.Tensor]) -> torch.Tensor | None:
    if len(images) == 0:
        return None
    # first, get the max channels count
    max_channels = max(image.shape[-1] for image in images)
    # then, pad all images to have the same channels count
    padded_images: list[torch.Tensor] = []
    for image in images:
        if image.shape[-1] < max_channels:
            padded_images.append(torch.nn.functional.pad(image, (0,1), mode='constant', value=1.0))
        else:
            padded_images.append(image)
    # resize all images to be the same size as the first image
    resized_images: list[torch.Tensor] = []
    first_image_shape = padded_images[0].shape
    for image in padded_images:
        if image.shape[1:] != first_image_shape[1:]:

View on GitHub (pinned to 1c6d8d45b3)

Solutions

1. Use a standard resize type from the node's combo (crop/resize/scale variants listed in /object_info).
2. Regenerate the workflow in the current UI version so enum values match the installed backend.
3. If maintaining a fork that adds a ResizeType member, add the matching elif branch.

# In API scripts, validate against the node's advertised options
info = requests.get('http://127.0.0.1:8188/object_info/ImageResize').json()
allowed = info['ImageResize']['input']['required']['resize_type'][0]
assert selected_type in allowed

When it happens

Trigger: A workflow/API prompt supplying a resize type string that maps to no ResizeType member handled in execute; or a future ComfyUI version adds a ResizeType member without a branch here and an old/new node mismatch sends it through.

Common situations: Version-skew between frontend node definitions and backend executor; manually constructed enum values in JSON prompts; forks that add resize modes without patching the dispatch chain.

Related errors

• Unknown context_schedule '{context_schedule}'.
• Unknown fuse_method '{fuse_method}'.
• {cls.__name__} does not have a NONE member to map None to
• Invalid {cls.__name__} string: '{value}'. Valid values are:
• Cannot convert type {type(value).__name__} to {cls.__name__}

AI-assisted analysis of Comfy-Org/ComfyUI@1c6d8d45b3 (2026-08-14). Data as JSON: /api/errors/da95e0f713982223. Report an issue: GitHub.