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fix(nodes): removed duplicate node

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psychedelicious 2023-08-21 19:03:57 +10:00
parent 2bcded78e1
commit 66c0aea9e7
1 changed files with 0 additions and 48 deletions
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48
invokeai/app/invocations/latent.py
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@ -723,54 +723,6 @@ class ImageToLatentsInvocation(BaseInvocation):
return build_latents_output(latents_name=name, latents=latents, seed=None)
@title("Resize Latents")
@tags("latents", "resize")
class ResizeLatentsInvocation(BaseInvocation):
"""Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8."""
type: Literal["lresize"] = "lresize"
# Inputs
latents: LatentsField = InputField(
description=FieldDescriptions.latents,
input=Input.Connection,
)
width: int = InputField(
ge=64,
multiple_of=8,
description=FieldDescriptions.width,
)
height: int = InputField(
ge=64,
multiple_of=8,
description=FieldDescriptions.width,
)
mode: LATENTS_INTERPOLATION_MODE = InputField(default="bilinear", description=FieldDescriptions.interp_mode)
antialias: bool = InputField(default=False, description=FieldDescriptions.torch_antialias)
def invoke(self, context: InvocationContext) -> LatentsOutput:
latents = context.services.latents.get(self.latents.latents_name)
# TODO:
device = choose_torch_device()
resized_latents = torch.nn.functional.interpolate(
latents.to(device),
size=(self.height // 8, self.width // 8),
mode=self.mode,
antialias=self.antialias if self.mode in ["bilinear", "bicubic"] else False,
)
# https://discuss.huggingface.co/t/memory-usage-by-later-pipeline-stages/23699
resized_latents = resized_latents.to("cpu")
torch.cuda.empty_cache()
name = f"{context.graph_execution_state_id}__{self.id}"
# context.services.latents.set(name, resized_latents)
context.services.latents.save(name, resized_latents)
return build_latents_output(latents_name=name, latents=resized_latents, seed=self.latents.seed)
@title("Blend Latents")
@tags("latents", "blend")
class BlendLatentsInvocation(BaseInvocation):