2.7 KiB
2.7 KiB
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Upscale Image By
Documentation
- Class name:
ImageScaleBy - Category:
image/upscaling - Output node:
False
The ImageScaleBy node is designed for upscaling images by a specified scale factor using various interpolation methods. It allows for the adjustment of the image size in a flexible manner, catering to different upscaling needs.
Input types
Required
image- The input image to be upscaled. This parameter is crucial as it provides the base image that will undergo the upscaling process.
- Comfy dtype:
IMAGE - Python dtype:
torch.Tensor
upscale_method- Specifies the interpolation method to be used for upscaling. The choice of method can affect the quality and characteristics of the upscaled image.
- Comfy dtype:
COMBO[STRING] - Python dtype:
str
scale_by- The factor by which the image will be upscaled. This determines the increase in size of the output image relative to the input image.
- Comfy dtype:
FLOAT - Python dtype:
float
Output types
image- Comfy dtype:
IMAGE - The upscaled image, which is larger than the input image according to the specified scale factor and interpolation method.
- Python dtype:
torch.Tensor
- Comfy dtype:
Usage tips
- Infra type:
GPU - Common nodes:
- VAEEncode
- [RIFE VFI](../../ComfyUI-Frame-Interpolation/Nodes/RIFE VFI.md)
- VHS_VideoCombine
- VAEEncodeTiled
- Reroute
- PreviewImage
- SaveImage
- SVD_img2vid_Conditioning
- SEGSPreview
- ImageFilterSharpen
Source code
class ImageScaleBy:
upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
@classmethod
def INPUT_TYPES(s):
return {"required": { "image": ("IMAGE",), "upscale_method": (s.upscale_methods,),
"scale_by": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 8.0, "step": 0.01}),}}
RETURN_TYPES = ("IMAGE",)
FUNCTION = "upscale"
CATEGORY = "image/upscaling"
def upscale(self, image, upscale_method, scale_by):
samples = image.movedim(-1,1)
width = round(samples.shape[3] * scale_by)
height = round(samples.shape[2] * scale_by)
s = comfy.utils.common_upscale(samples, width, height, upscale_method, "disabled")
s = s.movedim(1,-1)
return (s,)