← Back to all generators

lucataco/magnet

MAGNeT: Masked Audio Generation using a Single Non-Autoregressive Transformer

Capabilities

Top-P

Cost

Community model (estimated from hardware time)

Input Parameters

decoding_steps_stage_1integer

Number of decoding steps for stage 1

Default: 20
decoding_steps_stage_2integer

Number of decoding steps for stage 2

Default: 10
decoding_steps_stage_3integer

Number of decoding steps for stage 3

Default: 10
decoding_steps_stage_4integer

Number of decoding steps for stage 4

Default: 10
max_cfgnumber

Max CFG coefficient

Default: 10
min_cfgnumber

Min CFG coefficient

Default: 1
modelstring

Model to use

Default: "facebook/magnet-small-10secs"
facebook/magnet-small-10secsfacebook/magnet-medium-10secsfacebook/magnet-small-30secsfacebook/magnet-medium-30secsfacebook/audio-magnet-smallfacebook/audio-magnet-medium
promptstring

Input Text

Default: "80s electronic track with melodic synthesizers, catchy beat and groovy bass"
span_scorestring

An enumeration.

Default: "prod-stride1"
max-nonoverlapprod-stride1
temperaturenumber

Temperature for sampling

Default: 3
top_pnumber

Top p for sampling

Default: 0.9min: 0, max: 1
variationsinteger

Number of variations to generate

Default: 3min: 1, max: 4
Version: e8e2ecd4a1daUpdated: 7/25/20262.9K runs