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update files for device agnostic inference
Browse files
.ipynb_checkpoints/app-checkpoint.py
CHANGED
@@ -216,11 +216,11 @@ class Mustango:
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# Initialize Mustango
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if torch.cuda.is_available():
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mustango = Mustango(
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else:
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mustango = Mustango(device="cpu")
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output_wave = mustango.generate("This techno song features a synth lead playing the main melody.", 5, 3, disable_progress=False)
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def gradio_generate(prompt, steps, guidance):
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output_wave = mustango.generate(prompt, steps, guidance)
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# Initialize Mustango
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if torch.cuda.is_available():
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mustango = Mustango()
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else:
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mustango = Mustango(device="cpu")
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# output_wave = mustango.generate("This techno song features a synth lead playing the main melody.", 5, 3, disable_progress=False)
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def gradio_generate(prompt, steps, guidance):
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output_wave = mustango.generate(prompt, steps, guidance)
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__pycache__/models.cpython-310.pyc
CHANGED
Binary files a/__pycache__/models.cpython-310.pyc and b/__pycache__/models.cpython-310.pyc differ
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app.py
CHANGED
@@ -216,11 +216,11 @@ class Mustango:
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# Initialize Mustango
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if torch.cuda.is_available():
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-
mustango = Mustango(
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else:
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mustango = Mustango(device="cpu")
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-
output_wave = mustango.generate("This techno song features a synth lead playing the main melody.", 5, 3, disable_progress=False)
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def gradio_generate(prompt, steps, guidance):
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output_wave = mustango.generate(prompt, steps, guidance)
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# Initialize Mustango
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if torch.cuda.is_available():
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+
mustango = Mustango()
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else:
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mustango = Mustango(device="cpu")
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+
# output_wave = mustango.generate("This techno song features a synth lead playing the main melody.", 5, 3, disable_progress=False)
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def gradio_generate(prompt, steps, guidance):
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output_wave = mustango.generate(prompt, steps, guidance)
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layers/__pycache__/layers.cpython-310.pyc
CHANGED
Binary files a/layers/__pycache__/layers.cpython-310.pyc and b/layers/__pycache__/layers.cpython-310.pyc differ
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