data / LatentUpscaleMultiply_Omar92.py
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# Developed by Omar - https://github.com/omar92
# https://civitai.com/user/omar92
# discord: Omar92#3374
# This node provides an alterntive scaling node buy multiplying previous width and height by a factor
import os
import sys
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))
import comfy.samplers
import comfy.sd
import comfy.utils
import model_management
def before_node_execution():
model_management.throw_exception_if_processing_interrupted()
def interrupt_processing(value=True):
model_management.interrupt_current_processing(value)
class LatentUpscaleMultiply:
upscale_methods = ["nearest-exact", "bilinear", "area"]
crop_methods = ["disabled", "center"]
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"samples": ("LATENT",),
"upscale_method": (s.upscale_methods,),
"WidthMul": (
"FLOAT",
{"default": 1.25, "min": 0.0, "max": 10.0, "step": 0.1},
),
"HeightMul": (
"FLOAT",
{"default": 1.25, "min": 0.0, "max": 10.0, "step": 0.1},
),
"crop": (s.crop_methods,),
}
}
RETURN_TYPES = ("LATENT",)
FUNCTION = "upscale"
CATEGORY = "O/latent"
def upscale(self, samples, upscale_method, WidthMul, HeightMul, crop):
s = samples.copy()
x = samples["samples"].shape[3]
y = samples["samples"].shape[2]
new_x = int(x * WidthMul)
new_y = int(y * HeightMul)
print("upscale from ("+ str(x * 8)+ ","+ str(y * 8)+ ") to ("+ str(new_x * 8)+ ","+ str(new_y * 8)+ ")")
def enforce_mul_of_64(d):
leftover = d % 8
if leftover != 0:
d += 8 - leftover
return d
s["samples"] = comfy.utils.common_upscale(
samples["samples"], enforce_mul_of_64(new_x), enforce_mul_of_64(new_y), upscale_method, crop
)
return (s,)
NODE_CLASS_MAPPINGS = {"LatentUpscaleMultiply": LatentUpscaleMultiply}