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scope range adapter in latent diffusion
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@ -8,7 +8,7 @@ from refiners.foundationals.latent_diffusion.stable_diffusion_1.unet import (
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TimestepEncoder,
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TimestepEncoder,
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)
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)
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from refiners.adapters.adapter import Adapter
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from refiners.adapters.adapter import Adapter
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from refiners.adapters.range_adapter import RangeAdapter2d
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from refiners.foundationals.latent_diffusion.range_adapter import RangeAdapter2d
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from typing import cast, Iterable
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from typing import cast, Iterable
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from torch import Tensor, device as Device, dtype as DType
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from torch import Tensor, device as Device, dtype as DType
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@ -6,7 +6,7 @@ from refiners.fluxion.context import Contexts
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import refiners.fluxion.layers as fl
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import refiners.fluxion.layers as fl
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from refiners.foundationals.latent_diffusion.cross_attention import CrossAttentionBlock2d
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from refiners.foundationals.latent_diffusion.cross_attention import CrossAttentionBlock2d
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from refiners.adapters.range_adapter import RangeEncoder, RangeAdapter2d
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from refiners.foundationals.latent_diffusion.range_adapter import RangeEncoder, RangeAdapter2d
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class TimestepEncoder(fl.Passthrough):
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class TimestepEncoder(fl.Passthrough):
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@ -8,7 +8,11 @@ from refiners.foundationals.latent_diffusion.stable_diffusion_1.unet import (
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ResidualBlock,
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ResidualBlock,
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ResidualConcatenator,
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ResidualConcatenator,
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)
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)
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from refiners.adapters.range_adapter import RangeAdapter2d, RangeEncoder, compute_sinusoidal_embedding
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from refiners.foundationals.latent_diffusion.range_adapter import (
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RangeAdapter2d,
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RangeEncoder,
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compute_sinusoidal_embedding,
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)
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class TextTimeEmbedding(fl.Chain):
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class TextTimeEmbedding(fl.Chain):
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@ -1,6 +1,6 @@
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import torch
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import torch
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from refiners.adapters.adapter import Adapter
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from refiners.adapters.adapter import Adapter
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from refiners.adapters.range_adapter import RangeEncoder
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from refiners.foundationals.latent_diffusion.range_adapter import RangeEncoder
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from refiners.fluxion.layers import Chain, Linear
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from refiners.fluxion.layers import Chain, Linear
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