Marco
e1adac9396
- LoadGifFrames: loads GIF via Pillow (no OpenCV/FFmpeg), deduplicates identical frames using MD5 hash, outputs unique_frames batch + frame_map JSON for reconstruction. Alpha channel composited over white background. - RemapGifFrames: decompressor node that expands deduplicated processed frames back to full sequence using frame_map. - BatchToImageList: splits IMAGE batch [N,H,W,C] into list of N individual frames so ComfyUI iterates the pipeline per-frame, avoiding RAM spikes on VAE encode/decode with large GIF batches. - js/load_gif_frames.js: upload widget for LoadGifFrames accepting .gif only.
29 lines
841 B
Python
29 lines
841 B
Python
import torch
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class BatchToImageList:
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"""Splits an IMAGE batch [N,H,W,C] into a list of N individual frames.
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ComfyUI will iterate over the list, running each frame through the pipeline
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independently — avoiding RAM spikes from large batches in VAE encode/decode.
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Use ImageListToBatch+ downstream to collect results back into a batch.
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"""
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"images": ("IMAGE",),
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}
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}
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RETURN_TYPES = ("IMAGE",)
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RETURN_NAMES = ("image",)
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OUTPUT_IS_LIST = (True,)
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FUNCTION = "split"
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CATEGORY = "image"
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TITLE = "Batch to Image List"
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def split(self, images):
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# images: [N, H, W, C] → list of N tensors [1, H, W, C]
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return ([images[i:i+1] for i in range(images.shape[0])],)
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