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Allow negative batch_index on ImageFromBatch and LatentFromBatch
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@ -136,7 +136,7 @@ class ImageFromBatch(IO.ComfyNode):
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category="image/batch",
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inputs=[
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IO.Image.Input("image"),
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IO.Int.Input("batch_index", default=0, min=0, max=4095),
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IO.Int.Input("batch_index", default=0, min=-MAX_RESOLUTION, max=MAX_RESOLUTION),
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IO.Int.Input("length", default=1, min=1, max=4096),
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],
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outputs=[IO.Image.Output()],
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@ -145,6 +145,8 @@ class ImageFromBatch(IO.ComfyNode):
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@classmethod
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def execute(cls, image, batch_index, length) -> IO.NodeOutput:
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s_in = image
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if batch_index < 0:
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batch_index += s_in.shape[0]
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batch_index = min(s_in.shape[0] - 1, batch_index)
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length = min(s_in.shape[0] - batch_index, length)
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s = s_in[batch_index:batch_index + length].clone()
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4
nodes.py
4
nodes.py
@ -1221,7 +1221,7 @@ class LatentFromBatch:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": { "samples": ("LATENT",),
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"batch_index": ("INT", {"default": 0, "min": 0, "max": 63}),
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"batch_index": ("INT", {"default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION}),
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"length": ("INT", {"default": 1, "min": 1, "max": 64}),
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}}
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RETURN_TYPES = ("LATENT",)
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@ -1232,6 +1232,8 @@ class LatentFromBatch:
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def frombatch(self, samples, batch_index, length):
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s = samples.copy()
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s_in = samples["samples"]
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if batch_index < 0:
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batch_index += s_in.shape[0]
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batch_index = min(s_in.shape[0] - 1, batch_index)
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length = min(s_in.shape[0] - batch_index, length)
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s["samples"] = s_in[batch_index:batch_index + length].clone()
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