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(doc/fluxion/ld) add SDXLUNet docstrings
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@ -239,7 +239,24 @@ class OutputBlock(fl.Chain):
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class SDXLUNet(fl.Chain):
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def __init__(self, in_channels: int, device: Device | str | None = None, dtype: DType | None = None) -> None:
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"""Stable Diffusion XL U-Net.
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See [[arXiv:2307.01952] SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis](https://arxiv.org/abs/2307.01952) for more details.
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"""
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def __init__(
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self,
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in_channels: int,
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device: Device | str | None = None,
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dtype: DType | None = None,
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) -> None:
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"""Initialize the U-Net.
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Args:
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in_channels: Number of input channels.
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device: Device to use for computation.
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dtype: Data type to use for computation.
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"""
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self.in_channels = in_channels
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super().__init__(
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TimestepEncoder(device=device, dtype=dtype),
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@ -273,13 +290,45 @@ class SDXLUNet(fl.Chain):
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}
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def set_clip_text_embedding(self, clip_text_embedding: Tensor) -> None:
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"""Set the clip text embedding context.
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Note:
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This context is required by the `SDXLCrossAttention` blocks.
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Args:
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clip_text_embedding: The CLIP text embedding tensor.
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"""
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self.set_context(context="cross_attention_block", value={"clip_text_embedding": clip_text_embedding})
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def set_timestep(self, timestep: Tensor) -> None:
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"""Set the timestep context.
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Note:
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This is required by `TimestepEncoder`.
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Args:
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timestep: The timestep tensor.
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"""
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self.set_context(context="diffusion", value={"timestep": timestep})
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def set_time_ids(self, time_ids: Tensor) -> None:
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"""Set the time IDs context.
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Note:
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This is required by `TextTimeEmbedding`.
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Args:
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time_ids: The time IDs tensor.
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"""
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self.set_context(context="diffusion", value={"time_ids": time_ids})
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def set_pooled_text_embedding(self, pooled_text_embedding: Tensor) -> None:
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"""Set the pooled text embedding context.
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Note:
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This is required by `TextTimeEmbedding`.
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Args:
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pooled_text_embedding: The pooled text embedding tensor.
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"""
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self.set_context(context="diffusion", value={"pooled_text_embedding": pooled_text_embedding})
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