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feat(nodes): allow multiples of 8 for dimensions

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psychedelicious 2023-04-24 20:35:31 +10:00
parent 4d885653e9
commit 3264d30b44
2 changed files with 4 additions and 4 deletions
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4
invokeai/app/invocations/generate.py
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@ -46,8 +46,8 @@ class TextToImageInvocation(BaseInvocation, SDImageInvocation):
prompt: Optional[str] = Field(description="The prompt to generate an image from") prompt: Optional[str] = Field(description="The prompt to generate an image from")
seed: int = Field(default=-1,ge=-1, le=np.iinfo(np.uint32).max, description="The seed to use (-1 for a random seed)", ) seed: int = Field(default=-1,ge=-1, le=np.iinfo(np.uint32).max, description="The seed to use (-1 for a random seed)", )
steps: int = Field(default=10, gt=0, description="The number of steps to use to generate the image") steps: int = Field(default=10, gt=0, description="The number of steps to use to generate the image")
width: int = Field(default=512, multiple_of=64, gt=0, description="The width of the resulting image", ) width: int = Field(default=512, multiple_of=8, gt=0, description="The width of the resulting image", )
height: int = Field(default=512, multiple_of=64, gt=0, description="The height of the resulting image", ) height: int = Field(default=512, multiple_of=8, gt=0, description="The height of the resulting image", )
cfg_scale: float = Field(default=7.5, gt=0, description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", ) cfg_scale: float = Field(default=7.5, gt=0, description="The Classifier-Free Guidance, higher values may result in a result closer to the prompt", )
scheduler: SAMPLER_NAME_VALUES = Field(default="k_lms", description="The scheduler to use" ) scheduler: SAMPLER_NAME_VALUES = Field(default="k_lms", description="The scheduler to use" )
seamless: bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", ) seamless: bool = Field(default=False, description="Whether or not to generate an image that can tile without seams", )

4
invokeai/app/invocations/latent.py
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@ -113,8 +113,8 @@ class NoiseInvocation(BaseInvocation):
# Inputs # Inputs
seed: int = Field(ge=0, le=np.iinfo(np.uint32).max, description="The seed to use", default_factory=random_seed) seed: int = Field(ge=0, le=np.iinfo(np.uint32).max, description="The seed to use", default_factory=random_seed)
width: int = Field(default=512, multiple_of=64, gt=0, description="The width of the resulting noise", ) width: int = Field(default=512, multiple_of=8, gt=0, description="The width of the resulting noise", )
height: int = Field(default=512, multiple_of=64, gt=0, description="The height of the resulting noise", ) height: int = Field(default=512, multiple_of=8, gt=0, description="The height of the resulting noise", )
# Schema customisation # Schema customisation