Mirrored_Repos/InvokeAI
1
0
Fork 0
mirror of https://github.com/invoke-ai/InvokeAI synced 2024-08-30 20:32:17 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'main' into release/invokeai-3-0-beta

Browse Source
This commit is contained in:
Lincoln Stein 2023-07-19 12:18:56 -04:00
commit 9fd7eb2e0e
1 changed files with 7 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
invokeai/app/invocations/latent.py
View File

@ -22,7 +22,7 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import \
PostprocessingSettings
from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
from ...backend.util.devices import choose_torch_device, torch_dtype
from ...backend.util.devices import choose_torch_device, torch_dtype, choose_precision
from ..models.image import ImageCategory, ImageField, ResourceOrigin
from .baseinvocation import (BaseInvocation, BaseInvocationOutput,
InvocationConfig, InvocationContext)
@ -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(False, 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(False, description="Decode in full precision")
fp32: bool = Field(DEFAULT_PRECISION=='float32', description="Decode in full precision")
# Schema customisation