Update org links to studio-dots-ai / dots-studio

README.md

@@ -11,15 +11,15 @@ tags:
   - flow-matching
   - post-trained
 library_name: dots_tts
-base_model: rednote-hilab/dots.tts-base
+base_model: dots-studio/dots.tts-base
 ---
 
 # dots.tts-soar
 
 <p align="left">
-  <a href="https://github.com/rednote-hilab/dots.tts"><img src="https://img.shields.io/badge/GitHub-rednote--hilab%2Fdots.tts-blue?logo=github" alt="GitHub"></a>
-  <a href="https://huggingface.co/spaces/rednote-hilab/dots.tts"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Spaces-Playground-orange" alt="Playground"></a>
-  <a href="https://rednote-hilab.github.io/dots.tts-demo/"><img src="https://img.shields.io/badge/Demo%20Page-Live-red" alt="Demo Page"></a>
+  <a href="https://github.com/studio-dots-ai/dots.tts"><img src="https://img.shields.io/badge/GitHub-studio--dots--ai%2Fdots.tts-blue?logo=github" alt="GitHub"></a>
+  <a href="https://huggingface.co/spaces/dots-studio/dots.tts"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Spaces-Playground-orange" alt="Playground"></a>
+  <a href="https://studio-dots-ai.github.io/dots.tts-demo/"><img src="https://img.shields.io/badge/Demo%20Page-Live-red" alt="Demo Page"></a>
 </p>
 
 **dots.tts** is a **2B-parameter fully continuous, end-to-end autoregressive (AR) text-to-speech system**. The backbone pairs a semantic encoder, an LLM, and an autoregressive flow-matching acoustic head over a 48 kHz AudioVAE — no discrete codec tokens anywhere in the pipeline.
@@ -28,15 +28,15 @@ This repository hosts **`dots.tts-soar`** — the pretrained backbone further re
 
 <table>
   <tr>
-    <td align="left" valign="middle"><a href="https://huggingface.co/rednote-hilab/dots.tts-base"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-dots.tts--base-yellow" alt="dots.tts-base"></a></td>
+    <td align="left" valign="middle"><a href="https://huggingface.co/dots-studio/dots.tts-base"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-dots.tts--base-yellow" alt="dots.tts-base"></a></td>
     <td>Pretrain (~1.5M h). Fine-tuning, full CFG / NFE control.</td>
   </tr>
   <tr>
-    <td align="left" valign="middle"><a href="https://huggingface.co/rednote-hilab/dots.tts-soar"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-dots.tts--soar-yellow" alt="dots.tts-soar"></a></td>
+    <td align="left" valign="middle"><a href="https://huggingface.co/dots-studio/dots.tts-soar"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-dots.tts--soar-yellow" alt="dots.tts-soar"></a></td>
     <td>← <em>you are here</em> — + Self-corrective Alignment. <strong>Highest zero-shot fidelity and speaker similarity</strong>; also recommended for fine-tuning.</td>
   </tr>
   <tr>
-    <td align="left" valign="middle"><a href="https://huggingface.co/rednote-hilab/dots.tts-mf"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-dots.tts--mf-yellow" alt="dots.tts-mf"></a></td>
+    <td align="left" valign="middle"><a href="https://huggingface.co/dots-studio/dots.tts-mf"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-dots.tts--mf-yellow" alt="dots.tts-mf"></a></td>
     <td>+ MeanFlow distillation. Few-step inference (NFE = 4), low latency.</td>
   </tr>
 </table>
@@ -52,8 +52,8 @@ conda create -n dots_tts python=3.10 -y
 conda activate dots_tts
 
 python -m pip install --upgrade pip
-python -m pip install "git+https://github.com/rednote-hilab/dots.tts.git" \
-  -c "https://raw.githubusercontent.com/rednote-hilab/dots.tts/main/constraints/recommended.txt"
+python -m pip install "git+https://github.com/studio-dots-ai/dots.tts.git" \
+  -c "https://raw.githubusercontent.com/studio-dots-ai/dots.tts/main/constraints/recommended.txt"
 ```
 
 ### CLI
@@ -61,7 +61,7 @@ python -m pip install "git+https://github.com/rednote-hilab/dots.tts.git" \
 ```bash
 # Continuation voice cloning (reference audio + transcript) — recommended
 dots.tts \
-  --model-name-or-path rednote-hilab/dots.tts-soar \
+  --model-name-or-path dots-studio/dots.tts-soar \
   --text "Hello, this is a zero-shot voice cloning demonstration." \
   --prompt-audio /path/to/reference.wav \
   --prompt-text "The exact transcript of the reference audio." \
@@ -75,7 +75,7 @@ from dots_tts.runtime import DotsTtsRuntime
 import soundfile as sf
 
 runtime = DotsTtsRuntime.from_pretrained(
-    "rednote-hilab/dots.tts-soar",
+    "dots-studio/dots.tts-soar",
     precision="bfloat16",
 )
 
@@ -99,7 +99,7 @@ sf.write("output.wav", result["audio"].float().cpu().squeeze().numpy(), result["
 
 ### Fine-tuning
 
-Both `dots.tts-base` and `dots.tts-soar` are valid fine-tuning starting points. Pick `dots.tts-soar` when you want to inherit its tightened text/timbre alignment on top of the pretrained backbone. See the [training script](https://github.com/rednote-hilab/dots.tts/blob/main/scripts/train_dots_tts.py) and [smoke config](https://github.com/rednote-hilab/dots.tts/blob/main/configs/dots_tts.yaml) in the source repository:
+Both `dots.tts-base` and `dots.tts-soar` are valid fine-tuning starting points. Pick `dots.tts-soar` when you want to inherit its tightened text/timbre alignment on top of the pretrained backbone. See the [training script](https://github.com/studio-dots-ai/dots.tts/blob/main/scripts/train_dots_tts.py) and [smoke config](https://github.com/studio-dots-ai/dots.tts/blob/main/configs/dots_tts.yaml) in the source repository:
 
 ```bash
 accelerate launch scripts/train_dots_tts.py --config configs/dots_tts.yaml
@@ -153,7 +153,7 @@ A frozen **AudioVAE** encodes 48 kHz mono waveform into a continuous latent and
 
 On head-to-head judging vs. `gpt-4o-mini-tts`, `dots.tts-soar` posts **65.7% on Syntactic Complexity — above every closed-source system listed**, while keeping competitive Emotions / Questions scores.
 
-See the [project README](https://github.com/rednote-hilab/dots.tts#-performance) for full benchmark tables.
+See the [project README](https://github.com/studio-dots-ai/dots.tts#-performance) for full benchmark tables.
 
 ---