78 lines
1.9 KiB
Python
78 lines
1.9 KiB
Python
import torch
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from . import register_node
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@register_node
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class Stringify:
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"""Convert any input to str/repr."""
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"x": ("*", ),
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},
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}
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RETURN_TYPES = ("STRING", "STRING")
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RETURN_NAMES = ("str", "repr")
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FUNCTION = "go"
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CATEGORY = "ali1234/debug"
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def go(self, x):
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return (str(x), repr(x))
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class JoinImageBatch:
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"""Turns an image batch into one big image."""
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@classmethod
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def INPUT_TYPES(s):
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"""
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Joins an image batch into a single image.
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"""
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return {
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"required": {
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"images": ("IMAGE",),
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"mode": (("horizontal", "vertical"), {"default": "horizontal"}),
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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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FUNCTION = "join"
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CATEGORY = "ali1234/image"
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def join(self, images, mode):
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n, h, w, c = images.shape
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image = None
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if mode == "vertical":
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# for vertical we can just reshape
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image = images.reshape(1, n * h, w, c)
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elif mode == "horizontal":
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# for horizontal we have to swap axes
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image = torch.transpose(torch.transpose(images, 1, 2).reshape(1, n * w, h, c), 1, 2)
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return (image,)
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class SelectImageBatch:
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"""Selects one image from an image batch."""
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"images": ("IMAGE",),
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"select": ("INT", {"default": 0, "min": 0, "max": 99999, "step": 1}),
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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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FUNCTION = "select"
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CATEGORY = "ali1234/image"
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def select(self, images, select):
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n, h, w, c = images.shape
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if select >= n:
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select = n - 1
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return (images[select].reshape(1, h, w, c),)
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