File size: 2,674 Bytes
93a2901 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | ---
license: other
license_name: stability-ai-community
license_link: https://huggingface.co/stabilityai/stable-audio-3-medium/blob/main/LICENSE.md
base_model:
- stabilityai/stable-audio-3-medium
- stabilityai/stable-audio-3-small-music
tags:
- audio
- text-to-audio
- stable-audio
library_name: stable-audio-3
---
# SA3 Variations — fp16 weights
Float16 conversions of Stability AI's [Stable Audio 3](https://huggingface.co/collections/stabilityai/stable-audio-3)
checkpoints, repackaged for the Windows build of **SA3 Variations**.
**These are Stability AI's models. This repo is a redistribution, not a new
model, and is not affiliated with or endorsed by Stability AI.**
## Why this exists
The SA3 Variations Windows app runs inference through PyTorch and needs its
weights on disk at install time. The upstream repos are gated, which would mean
every user creating a Hugging Face account and a token just to install a
desktop app. This repo removes that step.
## What was changed
Converted with [`scripts/convert_weights_fp16.py`](https://github.com/maxgraf96/stable-audio-3):
every float32/float64 tensor cast to float16. Integer indices, masks and bools
are untouched, and the bundled T5Gemma text encoder is left in **bfloat16** —
bf16 to fp16 narrows exponent range and risks overflow.
This is a storage change, not a quality one: the app loads with
`model_half=True` on CUDA, so these weights were being cast to fp16 at load
anyway. Verified by generating identical seeds from the original fp32 model and
this conversion:
corr(fp32, fp16) = +1.000000 (3 seeds)
| | upstream fp32 | here |
|---|---|---|
| `medium/model.safetensors` | 9.22 GB | 4.3 GB |
| `medium/t5gemma-b-b-ul2/` | 1.18 GB | unchanged (bf16) |
## Layout
Each directory is self-contained — checkpoint, config, and its own copy of the
text encoder, so the app can load it with a local path and no network access:
```
medium/
model_config.json
model.safetensors
t5gemma-b-b-ul2/
small-music/
model_config.json
model.safetensors
t5gemma-b-b-ul2/
```
## Licence
Inherits the upstream terms, which you should read before using these files:
- `medium/` — [stabilityai/stable-audio-3-medium](https://huggingface.co/stabilityai/stable-audio-3-medium)
- `small-music/` — [stabilityai/stable-audio-3-small-music](https://huggingface.co/stabilityai/stable-audio-3-small-music)
The bundled T5Gemma encoder additionally carries Google's
[Gemma Terms of Use](https://ai.google.dev/gemma/terms).
## Source
App and conversion script: <https://github.com/maxgraf96/stable-audio-3>
|