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Moving detected precision to DEFAULT_PRECISION constant

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This commit is contained in:
Martin Kristiansen 2023-07-19 11:55:37 -04:00
parent fface339ae
commit 07c48b2fd1
1 changed files with 6 additions and 2 deletions
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8
invokeai/app/invocations/latent.py
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@ -38,6 +38,10 @@ from diffusers.models.attention_processor import (
XFormersAttnProcessor,
)
DEFAULT_PRECISION = choose_precision(choose_torch_device())
class LatentsField(BaseModel):
"""A latents field used for passing latents between invocations"""
@ -492,7 +496,7 @@ class LatentsToImageInvocation(BaseInvocation):
tiled: bool = Field(
default=False,
description="Decode latents by overlaping tiles(less memory consumption)")
fp32: bool = Field(default=choose_precision(choose_torch_device())=='float32', description="Decode in full precision")
fp32: bool = Field(DEFAULT_PRECISION=='float32', description="Decode in full precision")
metadata: Optional[CoreMetadata] = Field(default=None, description="Optional core metadata to be written to the image")
# Schema customisation
@ -686,7 +690,7 @@ class ImageToLatentsInvocation(BaseInvocation):
tiled: bool = Field(
default=False,
description="Encode latents by overlaping tiles(less memory consumption)")
fp32: bool = Field(default=choose_precision(choose_torch_device())=='float32', description="Decode in full precision")
fp32: bool = Field(DEFAULT_PRECISION=='float32', description="Decode in full precision")
# Schema customisation