Add SonicMaster bundled mirror (model + T5 + Oobleck VAE)

README.md

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+# SonicMaster — bundled mirror
+
+Self-contained inference bundle for the MAESTRO desktop app.
+
+## Contents
+
+- `sonicmaster/model.safetensors` — diffusion checkpoint (source: [amaai-lab/SonicMaster](https://huggingface.co/amaai-lab/SonicMaster))
+- `sonicmaster/tangoflux_config.yaml` — model architecture config
+- `t5/` — `google/flan-t5-large` text encoder + tokenizer (Apache-2.0)
+- `vae/` — Oobleck VAE from `stabilityai/stable-audio-open-1.0`
+
+## License
+
+- SonicMaster: Apache-2.0
+- T5 (flan-t5-large): Apache-2.0
+- Stable Audio Open 1.0 VAE: Stability AI Community License (research-friendly)
+
+Paper: Melechovsky, Mehrish, Herremans. "SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering." ICML 2026 (arXiv:2508.03448).

sonicmaster/model.safetensors

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sonicmaster/tangoflux_config.yaml

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+
+# Absolute paths for different resources
+paths:
+  train_file: "/mastering/FINAL_DATA2/trainset_pt.jsonl"
+  val_file: "/mastering/FINAL_DATA2/valset_pt.jsonl"
+  test_file: "/mastering/FINAL_DATA2/testset_pt.jsonl"
+  infer_file: "/mastering/FINAL_DATA2/testset_pt.jsonl"
+  resume_from_checkpoint: ""
+  output_dir: "outputs/"
+
+# Training-related parameters
+training:
+  per_device_batch_size: 16
+  learning_rate: 5e-4
+  gradient_accumulation_steps: 1
+  num_train_epochs: 201
+  num_warmup_steps: 1000
+  max_audio_duration: 30
+  
+ 
+# Model and optimizer parameters, 
+model:
+  num_layers: 6
+  num_single_layers: 18
+  in_channels: 64
+  attention_head_dim: 128
+  joint_attention_dim: 1024
+  num_attention_heads: 8
+  audio_seq_len: 645
+  max_duration: 30
+  uncondition: false
+  text_encoder_name: "google/flan-t5-large"
+  
+
+
+
+

t5/config.json

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+{
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 2816,
+  "d_kv": 64,
+  "d_model": 1024,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 24,
+  "num_heads": 16,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.23.1",
+  "use_cache": true,
+  "vocab_size": 32128
+}

t5/generation_config.json

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+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.27.0.dev0"
+}

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t5/tokenizer_config.json

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vae/config.json

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+  "_diffusers_version": "0.30.0.dev0",
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+  "sampling_rate": 44100
+}

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