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https://git.datalinker.icu/comfyanonymous/ComfyUI
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Fix: Kling image gen nodes don't return entire batch when n > 1 (#152)
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@ -225,13 +225,16 @@ def video_result_to_node_output(
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def image_result_to_node_output(
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image: KlingImageResult,
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images: list[KlingImageResult],
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) -> torch.Tensor:
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"""
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Converts a KlingImageResult to a tuple containing a [B, H, W, C] tensor.
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If multiple images are returned, they will be stacked along the batch dimension.
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"""
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return (download_url_to_image_tensor(image.url),)
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if len(images) == 1:
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return download_url_to_image_tensor(images[0].url)
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else:
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return torch.cat([download_url_to_image_tensor(image.url) for image in images])
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class KlingNodeBase(ComfyNodeABC):
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@ -1384,8 +1387,8 @@ class KlingVirtualTryOnNode(KlingImageGenerationBase):
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final_response = self.get_response(task_id, auth_token)
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validate_image_result_response(final_response)
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image = get_images_from_response(final_response)
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return image_result_to_node_output(image)
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images = get_images_from_response(final_response)
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return image_result_to_node_output(images)
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class KlingImageGenerationNode(KlingImageGenerationBase):
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@ -1513,8 +1516,8 @@ class KlingImageGenerationNode(KlingImageGenerationBase):
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final_response = self.get_response(task_id, auth_token)
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validate_image_result_response(final_response)
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image = get_images_from_response(final_response)
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return image_result_to_node_output(image)
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images = get_images_from_response(final_response)
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return image_result_to_node_output(images)
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NODE_CLASS_MAPPINGS = {
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