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MiniMax-H3 ref2va, the denoising half of the split deployment
9e3b8ca verified Download diffusers/pipelines/deprecated/spectrogram_diffusion/__init__.py from dagloop5/TestingRef2va: direct link, hf CLI and curl.
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- Download file 2.59 kB
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https://huggingface.co/spaces/dagloop5/TestingRef2va/resolve/85b133dc3d05102b1bc2c04626c2cc8432c8564a/diffusers/pipelines/deprecated/spectrogram_diffusion/__init__.py
- Command line
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hf download hf://spaces/dagloop5/TestingRef2va@85b133dc3d05102b1bc2c04626c2cc8432c8564a/diffusers/pipelines/deprecated/spectrogram_diffusion/__init__.py
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curl -L -o __init__.py https://huggingface.co/spaces/dagloop5/TestingRef2va/resolve/85b133dc3d05102b1bc2c04626c2cc8432c8564a/diffusers/pipelines/deprecated/spectrogram_diffusion/__init__.py
2.59 kB
| # flake8: noqa | |
| from typing import TYPE_CHECKING | |
| from ....utils import ( | |
| DIFFUSERS_SLOW_IMPORT, | |
| _LazyModule, | |
| is_note_seq_available, | |
| OptionalDependencyNotAvailable, | |
| is_torch_available, | |
| is_transformers_available, | |
| get_objects_from_module, | |
| ) | |
| _dummy_objects = {} | |
| _import_structure = {} | |
| try: | |
| if not (is_transformers_available() and is_torch_available()): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| from ....utils import dummy_torch_and_transformers_objects # noqa F403 | |
| _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects)) | |
| else: | |
| _import_structure["continous_encoder"] = ["SpectrogramContEncoder"] | |
| _import_structure["notes_encoder"] = ["SpectrogramNotesEncoder"] | |
| _import_structure["pipeline_spectrogram_diffusion"] = [ | |
| "SpectrogramContEncoder", | |
| "SpectrogramDiffusionPipeline", | |
| "T5FilmDecoder", | |
| ] | |
| try: | |
| if not (is_transformers_available() and is_torch_available() and is_note_seq_available()): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| from ....utils import dummy_transformers_and_torch_and_note_seq_objects | |
| _dummy_objects.update(get_objects_from_module(dummy_transformers_and_torch_and_note_seq_objects)) | |
| else: | |
| _import_structure["midi_utils"] = ["MidiProcessor"] | |
| if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT: | |
| try: | |
| if not (is_transformers_available() and is_torch_available()): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| from ....utils.dummy_torch_and_transformers_objects import * | |
| else: | |
| from .pipeline_spectrogram_diffusion import SpectrogramDiffusionPipeline | |
| from .pipeline_spectrogram_diffusion import SpectrogramContEncoder | |
| from .pipeline_spectrogram_diffusion import SpectrogramNotesEncoder | |
| from .pipeline_spectrogram_diffusion import T5FilmDecoder | |
| try: | |
| if not (is_transformers_available() and is_torch_available() and is_note_seq_available()): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| from ....utils.dummy_transformers_and_torch_and_note_seq_objects import * | |
| else: | |
| from .midi_utils import MidiProcessor | |
| else: | |
| import sys | |
| sys.modules[__name__] = _LazyModule( | |
| __name__, | |
| globals()["__file__"], | |
| _import_structure, | |
| module_spec=__spec__, | |
| ) | |
| for name, value in _dummy_objects.items(): | |
| setattr(sys.modules[__name__], name, value) | |