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feat(nodes): valid controlnet weights are -1 to 2

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This commit is contained in:
psychedelicious 2023-07-15 17:06:17 +10:00
parent ae72f372be
commit d270f21c85
1 changed files with 7 additions and 7 deletions
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14
invokeai/app/invocations/controlnet_image_processors.py
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@ -125,15 +125,15 @@ class ControlField(BaseModel):
# resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode to use")
@validator("control_weight")
def abs_le_one(cls, v):
"""validate that all abs(values) are <=1"""
def validate_control_weight(cls, v):
"""Validate that all control weights in the valid range"""
if isinstance(v, list):
for i in v:
if abs(i) > 1:
raise ValueError('all abs(control_weight) must be <= 1')
if i < -1 or i > 2:
raise ValueError('Control weights must be within -1 to 2 range')
else:
if abs(v) > 1:
raise ValueError('abs(control_weight) must be <= 1')
if v < -1 or v > 2:
raise ValueError('Control weights must be within -1 to 2 range')
return v
class Config:
schema_extra = {
@ -165,7 +165,7 @@ class ControlNetInvocation(BaseInvocation):
control_model: ControlNetModelField = Field(default="lllyasviel/sd-controlnet-canny",
description="control model used")
control_weight: Union[float, List[float]] = Field(default=1.0, description="The weight given to the ControlNet")
begin_step_percent: float = Field(default=0, ge=0, le=1,
begin_step_percent: float = Field(default=0, ge=-1, le=2,
description="When the ControlNet is first applied (% of total steps)")
end_step_percent: float = Field(default=1, ge=0, le=1,
description="When the ControlNet is last applied (% of total steps)")