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Enhance the image batch node

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jiaqianjing 2024-10-17 16:44:24 +08:00
parent 7390ff3b1e
commit e07e7b90ce
1 changed files with 46 additions and 0 deletions
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46
nodes.py
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@ -1741,6 +1741,50 @@ class ImageBatch:
image2 = comfy.utils.common_upscale(image2.movedim(-1,1), image1.shape[2], image1.shape[1], "bilinear", "center").movedim(1,-1) image2 = comfy.utils.common_upscale(image2.movedim(-1,1), image1.shape[2], image1.shape[1], "bilinear", "center").movedim(1,-1)
s = torch.cat((image1, image2), dim=0) s = torch.cat((image1, image2), dim=0)
return (s,) return (s,)
class ImageBatchPlus:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"image1": ("IMAGE",),
"image2": ("IMAGE",),
"method": (["nearest-exact", "bilinear", "area", "bicubic", "lanczos"], { "default": "lanczos" }),
}, "optional": {
"image3": ("IMAGE",),
"image4": ("IMAGE",),
"image5": ("IMAGE",),
"image6": ("IMAGE",),
},
}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "batch"
CATEGORY = "image"
def batch(self, image1, method, image2, image3=None, image4=None, image5=None, image6=None):
if image1.shape[1:] != image2.shape[1:]:
image2 = comfy.utils.common_upscale(image2.movedim(-1,1), image1.shape[2], image1.shape[1], method, "center").movedim(1,-1)
s = torch.cat((image1, image2), dim=0)
if image3 is not None:
if image1.shape[1:] != image3.shape[1:]:
image3 = comfy.utils.common_upscale(image3.movedim(-1,1), image1.shape[2], image1.shape[1], method, "center").movedim(1,-1)
s = torch.cat((s, image3), dim=0)
if image4 is not None:
if image1.shape[1:] != image4.shape[1:]:
image4 = comfy.utils.common_upscale(image4.movedim(-1,1), image1.shape[2], image1.shape[1], method, "center").movedim(1,-1)
s = torch.cat((s, image4), dim=0)
if image5 is not None:
if image1.shape[1:] != image5.shape[1:]:
image5 = comfy.utils.common_upscale(image5.movedim(-1,1), image1.shape[2], image1.shape[1], method, "center").movedim(1,-1)
s = torch.cat((s, image5), dim=0)
if image6 is not None:
if image1.shape[1:] != image6.shape[1:]:
image6 = comfy.utils.common_upscale(image6.movedim(-1,1), image1.shape[2], image1.shape[1], method, "center").movedim(1,-1)
s = torch.cat((s, image6), dim=0)
return (s,)
class EmptyImage: class EmptyImage:
def __init__(self, device="cpu"): def __init__(self, device="cpu"):
@ -1850,6 +1894,7 @@ NODE_CLASS_MAPPINGS = {
"ImageScaleBy": ImageScaleBy, "ImageScaleBy": ImageScaleBy,
"ImageInvert": ImageInvert, "ImageInvert": ImageInvert,
"ImageBatch": ImageBatch, "ImageBatch": ImageBatch,
"ImageBatchPlus": ImageBatchPlus,
"ImagePadForOutpaint": ImagePadForOutpaint, "ImagePadForOutpaint": ImagePadForOutpaint,
"EmptyImage": EmptyImage, "EmptyImage": EmptyImage,
"ConditioningAverage": ConditioningAverage , "ConditioningAverage": ConditioningAverage ,
@ -1952,6 +1997,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"ImageInvert": "Invert Image", "ImageInvert": "Invert Image",
"ImagePadForOutpaint": "Pad Image for Outpainting", "ImagePadForOutpaint": "Pad Image for Outpainting",
"ImageBatch": "Batch Images", "ImageBatch": "Batch Images",
"ImageBatchPlus": "Batch Images+",
# _for_testing # _for_testing
"VAEDecodeTiled": "VAE Decode (Tiled)", "VAEDecodeTiled": "VAE Decode (Tiled)",
"VAEEncodeTiled": "VAE Encode (Tiled)", "VAEEncodeTiled": "VAE Encode (Tiled)",