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Add node for batching latent tensors

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This commit is contained in:
Adam Schwalm 2023-04-01 19:08:38 -05:00
parent ebd7f9bf80
commit 311315f74c
1 changed files with 15 additions and 0 deletions
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15
nodes.py
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@ -617,6 +617,20 @@ class LatentComposite:
samples_out["samples"] = s
return (samples_out,)
class LatentBatch:
@classmethod
def INPUT_TYPES(s):
return {"required": { "samples": ("LATENT",),
"batch_size": ("INT", {"default": 1, "min": 1, "max": 64})}}
RETURN_TYPES = ("LATENT",)
FUNCTION = "batch"
CATEGORY = "latent"
def batch(self, samples, batch_size=1):
return ({"samples":samples["samples"].repeat(batch_size, 1, 1, 1)}, )
class LatentCrop:
@classmethod
def INPUT_TYPES(s):
@ -1086,6 +1100,7 @@ NODE_CLASS_MAPPINGS = {
"LatentRotate": LatentRotate,
"LatentFlip": LatentFlip,
"LatentCrop": LatentCrop,
"LatentBatch": LatentBatch,
"LoraLoader": LoraLoader,
"CLIPLoader": CLIPLoader,
"CLIPVisionEncode": CLIPVisionEncode,