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Update app.py
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app.py
CHANGED
@@ -19,8 +19,8 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
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torch_dtype = torch.float16 if device == "cuda" else torch.float32
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# Load the StableAudio model from Hugging Face Hub
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pipe = StableAudioPipeline.from_pretrained("stabilityai/stable-audio-open-1.0", torch_dtype=torch_dtype)
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pipe = pipe.to(device)
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# Initialize Flask app
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app = Flask(__name__)
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@@ -38,6 +38,10 @@ def generate_audio():
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try:
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# Generate the audio using StableAudioPipeline
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generator = torch.Generator(device)
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generator.manual_seed(seed)
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@@ -46,7 +50,7 @@ def generate_audio():
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prompt=prompt,
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negative_prompt='Low Quality',
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num_inference_steps=10, # Number of diffusion steps
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guidance_scale=
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audio_end_in_s=1,
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num_waveforms_per_prompt=1,
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generator=generator
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torch_dtype = torch.float16 if device == "cuda" else torch.float32
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# Load the StableAudio model from Hugging Face Hub
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#pipe = StableAudioPipeline.from_pretrained("stabilityai/stable-audio-open-1.0", torch_dtype=torch_dtype)
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#pipe = pipe.to(device)
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# Initialize Flask app
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app = Flask(__name__)
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try:
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# Load the StableAudio model from Hugging Face Hub
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pipe = StableAudioPipeline.from_pretrained("stabilityai/stable-audio-open-1.0", torch_dtype=torch_dtype)
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pipe = pipe.to(device)
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# Generate the audio using StableAudioPipeline
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generator = torch.Generator(device)
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generator.manual_seed(seed)
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prompt=prompt,
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negative_prompt='Low Quality',
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num_inference_steps=10, # Number of diffusion steps
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guidance_scale=14.0,
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audio_end_in_s=1,
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num_waveforms_per_prompt=1,
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generator=generator
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