Add files using upload-large-folder tool

edf9628 verified 21 days ago

2.09 kB

language:
  - en
license: other
license_name: stable-audio-community
license_link: LICENSE.md
pipeline_tag: text-to-audio
base_model: stabilityai/stable-audio-3-medium-base
tags:
  - audio-generation
  - diffusion
  - gguf
  - lora
  - sa3.cpp

Stable Audio 3 Medium Base DiT — GGUF for sa3.cpp

F16 and F32 GGUF conversions of the training DiT from stabilityai/stable-audio-3-medium-base, for native LoRA/DoRA training with sa3.cpp.

This is a training-only base DiT. Train the adapter on this model, then apply that adapter to Stable Audio 3 Medium for inference. Do not use the post-trained/ARC medium DiT as the training base.

Files

file	purpose
`stable-audio-3-medium-base-dit-1.5B-v1.0-F16.gguf`	recommended frozen training base
`stable-audio-3-medium-base-dit-1.5B-v1.0-F32.gguf`	CPU/reference validation
`SHA256SUMS`	release checksums

The tokenizer, T5Gemma encoder, conditioner, SAME autoencoder, and inference DiT are fetched from the normal medium model set; they are intentionally not duplicated here.

python tools/download_models.py --variant medium --encoding f16 --training-base
build-cuda/bin/sa3-train --model medium --models-dir models --dataset /path/to/dataset --out train-runs/example

Provenance

Source revision: b32993f73c3bdc3864043a72d8032606bba737c8
Conversion: tools/convert_dit.py --variant medium --training-base, then tools/quantize_gguf.py for F16
Relationship: tensor rename/serialization and precision conversion only; no retraining

License and attribution

These converted weights remain under the Stability AI Community License. This repository includes the upstream LICENSE.md and a NOTICE describing the conversion and retaining the required Stability AI attribution. Organizations above the license's revenue threshold must obtain the appropriate license from Stability AI.