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7ff0331 | 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 | This Stability AI Model is licensed under the Stability AI Community License,
Copyright (c) Stability AI Ltd. All Rights Reserved.
This is a Derivative Work. The Stability AI Materials were modified as follows:
The model was converted from its original PyTorch format to Apple's Core AI
`.aimodel` format, using `torch.export` and `coreai-torch`. The network was split
into four separately-callable graphs (text conditioner, diffusion transformer,
latent decoder, audio encoder) so that the sampling loop runs on the host.
Two training-time behaviours were disabled, both inactive at inference:
- `mask_noise` in the autoencoder (a training augmentation)
- the softnorm bottleneck's decode-time dither
The bottleneck dither was measured before removal: output with it disabled differs
from stock by SNR 18.8 dB / cosine 0.9934, while two stock runs differ from each other
by SNR 21.1 dB / cosine 0.9961. Removing it therefore lands within the model's own
run-to-run variance, and makes generation deterministic.
No weights were retrained, fine-tuned, quantized or otherwise altered in value.
Graph weights are stored at float32, matching the source checkpoint.
Original model: stabilityai/stable-audio-3-medium
The T5Gemma text encoder is subject to the Gemma Terms of Use (see LICENSE_GEMMA.md).
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