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pcuenca
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| model_id = "hf-internal-testing/unet-pipeline-dummy" | ||
| with tempfile.TemporaryDirectory() as tmpdirname: | ||
| _ = DiffusionPipeline.from_pretrained(model_id, cache_dir=tmpdirname, force_download=True) | ||
| local_repo_name = "--".join(["models"] + model_id.split("/")) | ||
| snapshot_dir = os.path.join(tmpdirname, local_repo_name, "snapshots") | ||
| snapshot_dir = os.path.join(snapshot_dir, os.listdir(snapshot_dir)[0]) | ||
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| # inspect all downloaded files to make sure that everything is included | ||
| assert os.path.isfile(os.path.join(snapshot_dir, DiffusionPipeline.config_name)) | ||
| assert os.path.isfile(os.path.join(snapshot_dir, CONFIG_NAME)) | ||
| assert os.path.isfile(os.path.join(snapshot_dir, SCHEDULER_CONFIG_NAME)) | ||
| assert os.path.isfile(os.path.join(snapshot_dir, WEIGHTS_NAME)) | ||
| assert os.path.isfile(os.path.join(snapshot_dir, "scheduler", SCHEDULER_CONFIG_NAME)) | ||
| assert os.path.isfile(os.path.join(snapshot_dir, "unet", WEIGHTS_NAME)) | ||
| assert os.path.isfile(os.path.join(snapshot_dir, "unet", WEIGHTS_NAME)) | ||
| # let's make sure the super large numpy file: | ||
| # https://huggingface.co/hf-internal-testing/unet-pipeline-dummy/blob/main/big_array.npy | ||
| # is not downloaded, but all the expected ones | ||
| assert not os.path.isfile(os.path.join(snapshot_dir, "big_array.npy")) |
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* [Download] Smart downloading * add test * finish test * update * make style
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Improved snapshot downloading for
diffusersIt might happen more and more that a repo folder on the Hub contains more that the necessary diffusion model files.
E.g. Our pipelines should not load CompVis weights in a repo that has both CompVis weights and
diffusersweights, but that would currently be the case which means that bandwidth and local storage is wasted.This PR makes sure via an
allow_patternsthat only the relevant files are actually downloaded.🚨🚨🚨 Please make sure to update
huggingface_hubto0.9.1🚨🚨🚨See: #538