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204 lines
5.1 KiB
JSON
204 lines
5.1 KiB
JSON
{
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"schema_version": 1,
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"family": "sam_audio",
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"display_name": "SAM Audio",
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"description": "Prompt-conditioned audio separation.",
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"category": "audio_tools",
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"status": "supported",
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"tasks": [
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"s2s"
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],
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"modes": [
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"offline"
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],
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"languages": [
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"language_agnostic"
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],
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"capabilities": {},
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"runtime": {
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"tags": [
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"gguf"
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]
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},
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"options": {
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"request": [
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{
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"name": "reference_video_file",
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"type": "path",
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"description": "Masked video identifying the target source; frames are matched to audio by nearest timestamp. Requires libav runtime libraries. Mutually exclusive with reference_image_file.",
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"required": false
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},
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{
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"name": "reference_image_file",
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"type": "path",
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"description": "Masked RGB image identifying the target sound source, used as a constant visual prompt throughout the recording. Mask unwanted regions before supplying the image.",
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"required": false
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},
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{
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"name": "anchors",
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"type": "string",
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"description": "Optional JSON array of time spans: [[\"+\", start_seconds, end_seconds], [\"-\", start_seconds, end_seconds]]. Positive spans identify the target; negative spans identify sounds to exclude.",
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"required": false
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},
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{
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"name": "seed",
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"type": "int",
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"description": "Random seed; -1 selects a random seed.",
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"min": -1,
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"max": 4294967295,
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"default": 42,
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"required": false
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},
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{
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"name": "num_inference_steps",
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"type": "int",
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"description": "Midpoint integration steps; each step evaluates the denoiser twice.",
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"min": 1,
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"default": 16,
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"required": false
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}
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],
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"session": [
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{
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"name": "memory_bounded",
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"type": "bool",
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"description": "Experimental bounded-workspace execution with full recording context. Provisional option name.",
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"default": false,
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"required": false
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}
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],
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"load": []
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},
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"package_defaults": {
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"download": {
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"kind": "huggingface_snapshot",
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"repo": "audio-cpp/SAM-Audio-GGUF",
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"revision": "main",
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"gated": false
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}
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},
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"packages": [
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{
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"id": "sam_audio_small_f32",
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"display_name": "SAM Audio Small F32 GGUF",
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"default": true,
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"format": "gguf",
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"precision": "f32",
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"target_directory": "SAM-Audio-GGUF",
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"files": [
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"sam-audio-small-f32.gguf"
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]
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},
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{
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"id": "sam_audio_small_bf16",
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"display_name": "SAM Audio Small BF16 GGUF",
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"format": "gguf",
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"precision": "bf16",
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"target_directory": "SAM-Audio-GGUF",
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"files": [
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"sam-audio-small-bf16.gguf"
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]
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},
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{
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"id": "sam_audio_small_q8_0",
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"display_name": "SAM Audio Small Q8_0 GGUF",
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"format": "gguf",
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"precision": "q8_0",
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"target_directory": "SAM-Audio-GGUF",
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"files": [
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"sam-audio-small-q8_0.gguf"
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]
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},
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{
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"id": "sam_audio_base_f32",
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"display_name": "SAM Audio Base F32 GGUF",
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"format": "gguf",
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"precision": "f32",
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"target_directory": "SAM-Audio-GGUF",
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"files": [
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"sam-audio-base-f32.gguf"
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]
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},
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{
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"id": "sam_audio_base_bf16",
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"display_name": "SAM Audio Base BF16 GGUF",
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"format": "gguf",
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"precision": "bf16",
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"target_directory": "SAM-Audio-GGUF",
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"files": [
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"sam-audio-base-bf16.gguf"
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]
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},
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{
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"id": "sam_audio_base_q8_0",
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"display_name": "SAM Audio Base Q8_0 GGUF",
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"format": "gguf",
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"precision": "q8_0",
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"target_directory": "SAM-Audio-GGUF",
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"files": [
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"sam-audio-base-q8_0.gguf"
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]
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},
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{
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"id": "sam_audio_large_f32",
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"display_name": "SAM Audio Large F32 GGUF",
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"format": "gguf",
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"precision": "f32",
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"target_directory": "SAM-Audio-GGUF",
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"files": [
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"sam-audio-large-f32.gguf"
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]
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},
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{
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"id": "sam_audio_large_bf16",
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"display_name": "SAM Audio Large BF16 GGUF",
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"format": "gguf",
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"precision": "bf16",
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"target_directory": "SAM-Audio-GGUF",
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"files": [
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"sam-audio-large-bf16.gguf"
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]
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},
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{
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"id": "sam_audio_large_q8_0",
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"display_name": "SAM Audio Large Q8_0 GGUF",
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"format": "gguf",
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"precision": "q8_0",
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"target_directory": "SAM-Audio-GGUF",
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"files": [
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"sam-audio-large-q8_0.gguf"
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]
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}
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],
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"dependencies": [],
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"ui": {
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"recommended_package": "sam_audio_small_f32",
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"tags": [
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"GGUF"
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],
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"docs": [
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"docs/models/sam_audio.md",
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"docs/audio_tools.md",
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"docs/gguf.md"
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]
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},
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"sources": [
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{
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"format": "gguf",
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"roots": {
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"model": ".",
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"weights": "$gguf"
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},
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"files": {
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"config": "model:config.json",
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"t5_config": "model:t5_config.json",
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"tokenizer": "model:tokenizer/spiece.model"
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},
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"tensors": {
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"weights": {
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"source": "weights:"
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}
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}
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}
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]
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}
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