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convert autoencoder: add an option for subfolder

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Cédric Deltheil 2023-09-29 18:50:22 +02:00 committed by Cédric Deltheil
parent 338042f332
commit 7f7e129bb6
1 changed files with 8 additions and 1 deletions
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9
scripts/conversion/convert_diffusers_autoencoder_kl.py
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@ -16,7 +16,7 @@ class Args(argparse.Namespace):
def setup_converter(args: Args) -> ModelConverter:
target = LatentDiffusionAutoencoder()
source: nn.Module = AutoencoderKL.from_pretrained(pretrained_model_name_or_path=args.source_path, subfolder="vae") # type: ignore
source: nn.Module = AutoencoderKL.from_pretrained(pretrained_model_name_or_path=args.source_path, subfolder=args.subfolder) # type: ignore
x = torch.randn(1, 3, 512, 512)
converter = ModelConverter(source_model=source, target_model=target, skip_output_check=True, verbose=args.verbose)
if not converter.run(source_args=(x,)):
@ -35,6 +35,13 @@ if __name__ == "__main__":
default="runwayml/stable-diffusion-v1-5",
help="Path to the source pretrained model (default: 'runwayml/stable-diffusion-v1-5').",
)
parser.add_argument(
"--subfolder",
type=str,
dest="subfolder",
default="vae",
help="Subfolder in the source path where the model is located inside the Hub (default: 'vae')",
)
parser.add_argument(
"--to",
type=str,