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add option to override unet weights for conversion
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@ -27,6 +27,9 @@ def setup_converter(args: Args) -> ModelConverter:
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subfolder=args.subfolder,
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subfolder=args.subfolder,
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low_cpu_mem_usage=False,
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low_cpu_mem_usage=False,
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)
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)
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if args.override_weights is not None:
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sd = torch.load(args.override_weights) # type: ignore
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source.load_state_dict(sd)
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source_in_channels: int = source.config.in_channels # type: ignore
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source_in_channels: int = source.config.in_channels # type: ignore
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source_clip_embedding_dim: int = source.config.cross_attention_dim # type: ignore
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source_clip_embedding_dim: int = source.config.cross_attention_dim # type: ignore
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source_has_time_ids: bool = source.config.addition_embed_type == "text_time" # type: ignore
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source_has_time_ids: bool = source.config.addition_embed_type == "text_time" # type: ignore
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@ -95,6 +98,15 @@ def main() -> None:
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" runwayml/stable-diffusion-v1-5"
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" runwayml/stable-diffusion-v1-5"
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),
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),
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)
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)
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parser.add_argument(
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"--override-weights",
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type=str,
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default=None,
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help=(
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"Path to a weights file to override the source model (keeping its config). "
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"This is useful for models distributed as .pth files."
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),
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)
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parser.add_argument(
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parser.add_argument(
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"--to",
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"--to",
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type=str,
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type=str,
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