Update configs/inference.yaml
Browse files- configs/inference.yaml +64 -64
configs/inference.yaml
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@@ -1,65 +1,65 @@
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model:
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name: 'google/t5-v1_1-small'
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spectrogram:
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sample_rate: 16000
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hop_length: 128
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n_fft: 1024
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n_mels:
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do_style_embed: false
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input_features: false
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model_path: './checkpoint'
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audio_path: '' # Path to input audio
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total_duration_ms: 0 # Total duration of audio in milliseconds, 0 for full audio
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output_path: '' # Path to output directory
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bpm: 120 # Beats per minute of input audio
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offset: 0 # Start of beat, in miliseconds, from the beginning of input audio
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resnap_objects: false # Resnap objects beat timing ticks, requires accurate BPM and offset
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slider_multiplier: 1.7 # Multiplier for slider velocity
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title: '' # Song title
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artist: '' # Song artist
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beatmap_path: '' # Path to .osu file which will be remapped
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other_beatmap_path: '' # Path to .osu file of other beatmap in the mapset to use as reference
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beatmap_id: -1 # Beatmap ID to use as style
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difficulty: -1 # Difficulty star rating to map
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creator: '' # Beatmap creator
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version: '' # Beatmap version
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full_set:
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set_difficulties: 5 # Number of difficulties to generate.
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# Diffusion settings
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generate_positions: true # Use diffusion to generate object positions
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diff_ckpt: './osudiffusion/DiT-B-0700000.pt' # Path to checkpoint for diffusion model
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diff_refine_ckpt: '' # Path to checkpoint for refining diffusion model
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diffusion:
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style_id: 1451282 # Style ID to use for diffusion
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num_sampling_steps: 100 # Number of sampling steps
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cfg_scale: 1 # Scale of classifier-free guidance
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num_classes: 52670 # Number of classes stored in the model
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beatmap_idx: 'osudiffusion/beatmap_idx.pickle' # Path to beatmap index
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use_amp: true # Use automatic mixed precision
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refine_iters: 10 # Number of refinement iterations
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seq_len: 128 # Sequence length
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model: 'DiT-B' # Model architecture
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data: # Data settings
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src_seq_len:
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tgt_seq_len:
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sample_rate: ${model.spectrogram.sample_rate}
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hop_length: ${model.spectrogram.hop_length}
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sequence_stride: 1 # Fraction of audio sequence length to shift inference window
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center_pad_decoder: false # Center pad decoder input
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add_pre_tokens: true
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special_token_len: 2
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diff_token_index: 0
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style_token_index: -1
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max_pre_token_len: 4
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add_gd_context: false # Prefix the decoder with tokens of another beatmap in the mapset
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hydra:
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job:
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chdir: False
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run:
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dir: ./logs/${now:%Y-%m-%d}/${now:%H-%M-%S}
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model:
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name: 'google/t5-v1_1-small'
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spectrogram:
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sample_rate: 16000
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hop_length: 128
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n_fft: 1024
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n_mels: 256
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do_style_embed: false
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input_features: false
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model_path: './checkpoint'
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audio_path: '' # Path to input audio
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total_duration_ms: 0 # Total duration of audio in milliseconds, 0 for full audio
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output_path: '' # Path to output directory
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bpm: 120 # Beats per minute of input audio
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offset: 0 # Start of beat, in miliseconds, from the beginning of input audio
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resnap_objects: false # Resnap objects beat timing ticks, requires accurate BPM and offset
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slider_multiplier: 1.7 # Multiplier for slider velocity
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title: '' # Song title
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artist: '' # Song artist
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beatmap_path: '' # Path to .osu file which will be remapped
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other_beatmap_path: '' # Path to .osu file of other beatmap in the mapset to use as reference
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beatmap_id: -1 # Beatmap ID to use as style
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difficulty: -1 # Difficulty star rating to map
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creator: '' # Beatmap creator
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version: '' # Beatmap version
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full_set: false # Generate full mapset
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set_difficulties: 5 # Number of difficulties to generate.
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# Diffusion settings
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generate_positions: true # Use diffusion to generate object positions
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diff_ckpt: './osudiffusion/DiT-B-0700000.pt' # Path to checkpoint for diffusion model
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diff_refine_ckpt: '' # Path to checkpoint for refining diffusion model
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diffusion:
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style_id: 1451282 # Style ID to use for diffusion
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num_sampling_steps: 100 # Number of sampling steps
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cfg_scale: 1 # Scale of classifier-free guidance
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num_classes: 52670 # Number of classes stored in the model
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beatmap_idx: 'osudiffusion/beatmap_idx.pickle' # Path to beatmap index
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use_amp: true # Use automatic mixed precision
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refine_iters: 10 # Number of refinement iterations
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seq_len: 128 # Sequence length
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model: 'DiT-B' # Model architecture
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data: # Data settings
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src_seq_len: 800
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tgt_seq_len: 600
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sample_rate: ${model.spectrogram.sample_rate}
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hop_length: ${model.spectrogram.hop_length}
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sequence_stride: 1 # Fraction of audio sequence length to shift inference window
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center_pad_decoder: false # Center pad decoder input
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add_pre_tokens: true
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special_token_len: 2
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diff_token_index: 0
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style_token_index: -1
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max_pre_token_len: 4
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add_gd_context: false # Prefix the decoder with tokens of another beatmap in the mapset
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hydra:
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job:
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chdir: False
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run:
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dir: ./logs/${now:%Y-%m-%d}/${now:%H-%M-%S}
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