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feat(nodes): support FLUX, SD3 in ideal_size
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@@ -21,7 +21,7 @@ class IdealSizeOutput(BaseInvocationOutput):
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"ideal_size",
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title="Ideal Size",
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tags=["latents", "math", "ideal_size"],
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version="1.0.3",
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version="1.0.4",
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)
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class IdealSizeInvocation(BaseInvocation):
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"""Calculates the ideal size for generation to avoid duplication"""
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@@ -41,11 +41,16 @@ class IdealSizeInvocation(BaseInvocation):
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def invoke(self, context: InvocationContext) -> IdealSizeOutput:
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unet_config = context.models.get_config(self.unet.unet.key)
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aspect = self.width / self.height
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dimension: float = 512
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if unet_config.base == BaseModelType.StableDiffusion2:
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if unet_config.base == BaseModelType.StableDiffusion1:
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dimension = 512
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elif unet_config.base == BaseModelType.StableDiffusion2:
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dimension = 768
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elif unet_config.base == BaseModelType.StableDiffusionXL:
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elif unet_config.base in (BaseModelType.StableDiffusionXL, BaseModelType.Flux, BaseModelType.StableDiffusion3):
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dimension = 1024
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else:
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raise ValueError(f"Unsupported model type: {unet_config.base}")
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dimension = dimension * self.multiplier
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min_dimension = math.floor(dimension * 0.5)
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model_area = dimension * dimension # hardcoded for now since all models are trained on square images
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