loudr-1: add LoudKit branding

.gitattributes

@@ -53,3 +53,4 @@ voices/refs/selma.wav filter=lfs diff=lfs merge=lfs -text
 voices/refs/soren.wav filter=lfs diff=lfs merge=lfs -text
 voices/refs/thorsten.wav filter=lfs diff=lfs merge=lfs -text
 voices/refs/tugao.wav filter=lfs diff=lfs merge=lfs -text
+logo.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -20,19 +20,23 @@ language:
   - da
 ---
 
+<p align="center">
+  <img src="https://huggingface.co/loudreader/loudr-1/resolve/main/logo.png" alt="LoudKit" width="640">
+</p>
+
 # loudr-1
 
 **Natural-sounding text-to-speech with twenty voices, ten languages and voice
 cloning.**
 
 loudr-1 runs on your own hardware through
-[loudkit](https://github.com/pepinu/loudkit). Download it once and work offline
+[loudkit](https://github.com/loudreader/loudkit). Download it once and work offline
 from Python, Swift, Go, Rust or TypeScript with PyTorch, ONNX Runtime or CoreML.
 
-[**Hear all 20 voices**](https://pepinu.github.io/loudkit/demo/) |
-[**Open in Colab**](https://colab.research.google.com/github/pepinu/loudkit/blob/main/notebooks/loudkit_quickstart.ipynb) |
-[**GitHub**](https://github.com/pepinu/loudkit) |
-[**Documentation**](https://pepinu.github.io/loudkit/)
+[**Hear all 20 voices**](https://loudreader.github.io/loudkit/demo/) |
+[**Open in Colab**](https://colab.research.google.com/github/loudreader/loudkit/blob/main/notebooks/loudkit_quickstart.ipynb) |
+[**GitHub**](https://github.com/loudreader/loudkit) |
+[**Documentation**](https://loudreader.github.io/loudkit/)
 
 ## Listen
 
@@ -45,7 +49,7 @@ from Python, Swift, Go, Rust or TypeScript with PyTorch, ONNX Runtime or CoreML.
 <audio controls src="https://huggingface.co/loudreader/loudr-1/resolve/main/samples/kathleen.opus"></audio>
 
 Both voices read the same passage from *Alice's Adventures in Wonderland*.
-[Open the gallery](https://pepinu.github.io/loudkit/demo/) to compare every
+[Open the gallery](https://loudreader.github.io/loudkit/demo/) to compare every
 shipped voice with the enrollment reference used to create its profile.
 
 > English is the only language we could evaluate ourselves by ear. We do not
@@ -111,10 +115,14 @@ shared cache. The synthesis checkpoint will be at
 |---|---|---:|
 | PyTorch with CUDA graphs | RTX 3090 | 7.47x |
 | PyTorch with CUDA graphs | Jetson Orin Nano | 1.83x |
-| split PyTorch engine | Apple M3 Pro | 3.43x |
+| split PyTorch engine\* | Apple M3 Pro | 3.43x |
 | ONNX Runtime, CPU provider | Apple M3 Pro | 1.21x |
 | PyTorch CPU reference | Apple M3 Pro | 0.33x |
 
+\* "Split" describes device placement, not a different model or checkpoint.
+The token generator runs on the CPU while the mel and vocoder renderer runs on
+the Apple GPU through MPS. Adjacent windows can overlap across the two devices.
+
 Higher is faster, and 1.0x means real time. ONNX Runtime on the measured M3 Pro
 CPU is faster than real time. The PyTorch CPU reference path on the same machine
 is not.
@@ -123,7 +131,7 @@ For batched workloads, the token generator reaches 20.1x aggregate throughput
 at batch 1 and 153.1x at batch 64 on the RTX 3090. The highest measured result
 is 170.8x on an A100 at batch 64. These are generator-only throughput numbers,
 not single-request latency or end-to-end RTF. See the
-[benchmark report](https://pepinu.github.io/loudkit/benchmarks/) for commands,
+[benchmark report](https://loudreader.github.io/loudkit/benchmarks/) for commands,
 hardware and caveats.
 
 ## What ships
@@ -151,15 +159,15 @@ Spanish, French, German, Italian, Polish, Portuguese, Dutch, Swedish and Danish.
 
 The profiles were built from recordings donated for speech technology or from
 CC0 and CC-BY speech corpora. No scraped celebrity voices ship with the model.
-[The full roster](https://github.com/pepinu/loudkit/blob/main/VOICES.md) records
+[The full roster](https://github.com/loudreader/loudkit/blob/main/VOICES.md) records
 the source, licence and consent basis for every profile. The
-[voice gallery](https://pepinu.github.io/loudkit/demo/) provides a generated
+[voice gallery](https://loudreader.github.io/loudkit/demo/) provides a generated
 sample and enrollment preview for all twenty.
 
 The source enrollment WAVs are not redistributed in the model repository. Their
 digests, construction notes and the digests of every shipped profile and sample
 are recorded in
-[provenance.json](https://github.com/pepinu/loudkit/blob/main/docs/voices/roster/provenance.json).
+[provenance.json](https://github.com/loudreader/loudkit/blob/main/docs/voices/roster/provenance.json).
 
 ## Model lineage
 
@@ -183,8 +191,8 @@ execution means that waveforms are not promised to be byte-identical across
 different runtimes.
 
 The exact contract and current measurements are in the
-[identity contract](https://github.com/pepinu/loudkit/blob/main/docs/reference/IDENTITY-CONTRACT.md)
-and [measured parity report](https://pepinu.github.io/loudkit/parity-measured/).
+[identity contract](https://github.com/loudreader/loudkit/blob/main/docs/reference/IDENTITY-CONTRACT.md)
+and [measured parity report](https://loudreader.github.io/loudkit/parity-measured/).
 
 ## Before you ship
 

SHA256SUMS

@@ -50,10 +50,11 @@ e7f2f756511fe047d0cd1997cdf2d42ba5c0c9fc8273c4450d25587e9e7aa77e  coreml/camp.ml
 759103649d9bf8d388b523b915e1eb9b285fb81e58fdef6d420d4c7e21053765  coreml/voice_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
 95b1a8b8c6b558fafee4a1c784076c8e099070c45958526c9a187c15de55d2d3  coreml/voice_encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
 fbd810d98add4c3349f01891e1b7c6dc975070bfa83e78f8f8a115f5dcea3c55  coreml/voice_encoder.mlpackage/Manifest.json
-dac906a2310982bb236b258db60f81141224087d54a3a66259332a74cb786c4a  README.md
+8a75580837b18451c432b17e5f4769507a222cbe770b0591b1707b94c0e57622  README.md
 5d5671b95e9797856175dd08d5d2f20d21d72e8785aba077ee38eb378d432528  LICENSE
 fda3657fa4d457f9dc379c1ca8550d665eb972ac1c7a260fbe94821ef418ff28  NOTICE
 87c35454a03b026a5a13093566ace245c339dc6af68c7f794f6ed322a731f753  RESPONSIBLE_USE.md
+f90d7077925cb35277579c93e57c701e3198df09b21830ccfb14f56c4c4507ea  logo.png
 83e0bf0a1f6b03e047de66871536c3ff77291041d0a3f2907b6990e580519fea  samples/joe.opus
 48615517c1d1d2d55dbb7f74f37982918236e33f079947459d56c116cd70b7a3  samples/kathleen.opus
-4058b467cd4a585bc1f39f1d236793181fef0b2e31dacdfb4cc8e31fb22f0aff  release.json
+fb7ed0196f3175e3a4880085ca876c7e76d0f82a020a0e30c3966d292c68adf7  release.json

release.json

@@ -268,8 +268,8 @@
  ],
  "readme": {
   "path": "README.md",
-  "sha256": "dac906a2310982bb236b258db60f81141224087d54a3a66259332a74cb786c4a",
-  "bytes": 8274
+  "sha256": "8a75580837b18451c432b17e5f4769507a222cbe770b0591b1707b94c0e57622",
+  "bytes": 8689
  },
  "license": {
   "path": "LICENSE",
@@ -286,6 +286,11 @@
   "sha256": "87c35454a03b026a5a13093566ace245c339dc6af68c7f794f6ed322a731f753",
   "bytes": 4022
  },
+ "logo": {
+  "path": "logo.png",
+  "sha256": "f90d7077925cb35277579c93e57c701e3198df09b21830ccfb14f56c4c4507ea",
+  "bytes": 957113
+ },
  "samples": [
   {
    "path": "samples/joe.opus",