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Resolution bucketing and Trainer implementation refactoring (#11117)

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This commit is contained in:
Kohaku-Blueleaf
2025-12-18 11:15:27 +08:00
committed by GitHub
parent ba6080bbab
commit 86dbb89fc9
4 changed files with 738 additions and 232 deletions
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11
comfy_extras/nodes_post_processing.py
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@@ -221,6 +221,7 @@ class ImageScaleToTotalPixels(io.ComfyNode):
io.Image.Input("image"),
io.Combo.Input("upscale_method", options=cls.upscale_methods),
io.Float.Input("megapixels", default=1.0, min=0.01, max=16.0, step=0.01),
io.Int.Input("resolution_steps", default=1, min=1, max=256),
],
outputs=[
io.Image.Output(),
@@ -228,15 +229,15 @@ class ImageScaleToTotalPixels(io.ComfyNode):
)
@classmethod
def execute(cls, image, upscale_method, megapixels) -> io.NodeOutput:
def execute(cls, image, upscale_method, megapixels, resolution_steps) -> io.NodeOutput:
samples = image.movedim(-1,1)
total = int(megapixels * 1024 * 1024)
total = megapixels * 1024 * 1024
scale_by = math.sqrt(total / (samples.shape[3] * samples.shape[2]))
width = round(samples.shape[3] * scale_by)
height = round(samples.shape[2] * scale_by)
width = round(samples.shape[3] * scale_by / resolution_steps) * resolution_steps
height = round(samples.shape[2] * scale_by / resolution_steps) * resolution_steps
s = comfy.utils.common_upscale(samples, width, height, upscale_method, "disabled")
s = comfy.utils.common_upscale(samples, int(width), int(height), upscale_method, "disabled")
s = s.movedim(1,-1)
return io.NodeOutput(s)