Add Continue Video node + Image Stitch division by zero error fixed
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+27
-1
@@ -316,6 +316,10 @@ class FunPackVideoStitch:
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}
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def linear_blend(self, batch_a, batch_b, blend_frames):
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if blend_frames == 1:
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blended_frame = 0.5 * batch_a[-1] + 0.5 * batch_b[0]
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return blended_frame.unsqueeze(0)
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blended = []
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for i in range(blend_frames):
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alpha = i / (blend_frames - 1)
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@@ -350,7 +354,27 @@ class FunPackVideoStitch:
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final_video = torch.cat(output_frames, dim=0)
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return (final_video,)
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class FunPackContinueVideo:
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CATEGORY = "FunPack"
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RETURN_TYPES = ("IMAGE",)
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RETURN_NAMES = ("CONTINUED",)
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FUNCTION = "continue_video"
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INPUT_TYPES = lambda: {
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"required": {
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"images": ("IMAGE",),
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"frame_count": ("INT", {"default": 1, "min": 1, "max": 9999}),
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}
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}
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def continue_video(self, images, frame_count):
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total_frames = images.shape[0]
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if frame_count > total_frames:
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raise ValueError(f"Cannot extract {frame_count} frames from video with only {total_frames} frames.")
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continued = images[-frame_count:]
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return (continued,)
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# Update NODE_CLASS_MAPPINGS and NODE_DISPLAY_NAME_MAPPINGS
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NODE_CLASS_MAPPINGS = {
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@@ -358,11 +382,13 @@ NODE_CLASS_MAPPINGS = {
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"FunPackCLIPLoader": FunPackCLIPLoader,
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"FunPackPromptEnhancer": FunPackPromptEnhancer,
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"FunPackVideoStitch": FunPackVideoStitch,
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"FunPackContinueVideo": FunPackContinueVideo,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"FunPackImg2LatentInterpolation": "FunPack Img2Latent Interpolation",
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"FunPackCLIPLoader": "FunPack CLIP Loader",
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"FunPackPromptEnhancer": "FunPack Prompt Enhancer (Standalone)",
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"FunPackVideoStitch": "FunPack Video Stitch"
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"FunPackVideoStitch": "FunPack Video Stitch",
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"FunPackContinueVideo": "FunPack Continue Video"
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}
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