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generate a random seed when no explicit seed is provided #27

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generate a random seed when no explicit seed is provided #27

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5 changes: 4 additions & 1 deletion tangoflux/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -286,13 +286,16 @@ def inference_flow(
timesteps=None,
guidance_scale=3,
duration=10,
seed=0,
seed=None,
disable_progress=False,
num_samples_per_prompt=1,
callback_on_step_end=None,
):
"""Only tested for single inference. Haven't test for batch inference"""

if seed is None:
seed = random.randint(0, 2**32 - 1) # Generate a random integer as seed

torch.manual_seed(seed)
if torch.cuda.is_available():
torch.cuda.manual_seed(seed)
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