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| | </head> |
| | <body> |
| | <div class="header"> |
| | <h1>magentaRT research API</h1> |
| | <p class="muted"><strong>exploring ways to jam</strong> • real-time streaming with http/ws • custom fine-tune model-switching support</p> |
| | <span class="badge">research project</span> |
| | </div> |
| |
|
| | <div class="section"> |
| | <h2>what this is</h2> |
| | <p>this API serves google's <a href="https://huggingface.co/google/magenta-realtime" target="_blank">magentaRT</a> in two distinct ways. first, as a backend for our iOS app (the untitled jamming app) where users create initial loops with stability ai's <a href="https://huggingface.co/stabilityai/stable-audio-open-small" target="_blank">stable-audio-open-small</a> and then MagentaRT uses the combined audio as context. second, as a standalone web interface that connects directly to magentaRT via websockets without any audio context.</p> |
| | |
| | <p>both modes support switching between base models and custom fine-tunes hosted on Hugging Face. this is designed as a template space for duplication, letting you experiment with real-time music generation outside of google colab.</p> |
| | |
| | <p>this is meant to be duplicated to your own GPU-enabled space since the iOS app is still in active development and doesn't have funding to support multiple concurrent users yet.</p> |
| | |
| | <div class="info"> |
| | <strong>hardware requirements:</strong> optimal performance requires an L40S GPU (48GB VRAM) for real-time streaming. L4 24GB almost works but will not achieve real-time performance (if someone knows an optimization that will solve this, please let me know). |
| | </div> |
| | </div> |
| |
|
| | <section id="env-vars" style="margin-top: 24px;"> |
| | <h3>environment variables (optional, but helpful)</h3> |
| | <p> |
| | you can boot this Space directly into your own finetune by setting the variables below in |
| | <em>Settings → Variables and secrets → Variables</em>. if you don't set them, you can still |
| | select models at runtime using <code>/model/select</code> from the frontend/API. |
| | </p> |
| |
|
| | <div class="callout" style="padding:12px;border:1px solid #e0e0e0;border-radius:8px;background:#fafafa;margin:16px 0;"> |
| | <strong>Quick start:</strong> set these to make a finetune the default on boot: |
| | <ul style="margin:8px 0 0 18px;"> |
| | <li><code>MRT_CKPT_REPO</code> → <code>thepatch/magenta-ft</code></li> |
| | <li><code>MRT_CKPT_STEP</code> → <code>1863001</code></li> |
| | <li><code>MRT_SIZE</code> → <code>large</code></li> |
| | </ul> |
| | <p style="margin:8px 0 0 0;"><small>those values correspond to the example finetune in this repo (checkpoint_1863001.tgz on top of the <em>large</em> base).</small></p> |
| | </div> |
| |
|
| | <table class="var-table" style="width:100%;border-collapse:collapse;margin:12px 0;"> |
| | <thead> |
| | <tr> |
| | <th style="text-align:left;border-bottom:1px solid #ddd;padding:8px;">name</th> |
| | <th style="text-align:left;border-bottom:1px solid #ddd;padding:8px;">what it does</th> |
| | <th style="text-align:left;border-bottom:1px solid #ddd;padding:8px;">example</th> |
| | <th style="text-align:left;border-bottom:1px solid #ddd;padding:8px;">when to set</th> |
| | </tr> |
| | </thead> |
| | <tbody> |
| | <tr> |
| | <td style="padding:8px;border-bottom:1px solid #eee;"><code>MRT_CKPT_REPO</code></td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;">huggingface repo ID that hosts your finetune checkpoints/assets.</td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;"><code>thepatch/magenta-ft</code></td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;">set to make this finetune the default on boot.</td> |
| | </tr> |
| | <tr> |
| | <td style="padding:8px;border-bottom:1px solid #eee;"><code>MRT_CKPT_STEP</code></td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;">checkpoint step number to load on boot.</td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;"><code>1863001</code></td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;">set if you want a specific checkpoint preselected.</td> |
| | </tr> |
| | <tr> |
| | <td style="padding:8px;border-bottom:1px solid #eee;"><code>MRT_SIZE</code></td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;">base model family used by the finetune (e.g., <em>large</em>).</td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;"><code>large</code></td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;">set to match the base you finetuned from.</td> |
| | </tr> |
| | <tr> |
| | <td style="padding:8px;border-bottom:1px solid #eee;"><code>SPACE_MODE</code></td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;">controls readiness behavior: <code>serve</code> (GPU, ready to generate) vs <code>template</code> (CPU template for duplication). If unset, the server auto-detects.</td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;"><code>serve</code> or <code>template</code></td> |
| | <td style="padding:8px;border-bottom:1px solid #eee;">set for explicit behavior; otherwise it falls back to auto-detection.</td> |
| | </tr> |
| | </tbody> |
| | </table> |
| |
|
| | <details style="margin-top:12px;"> |
| | <summary><strong>alternative: select a model at runtime via API</strong></summary> |
| | <pre style="background:#111;color:#eee;padding:12px;border-radius:8px;overflow:auto;margin-top:8px;"><code style="background: transparent; color: inherit; padding: 0; border: 0; box-shadow: none; display: block;">curl -X POST https://<your-space>.hf.space/model/select \ |
| | -H 'Content-Type: application/json' \ |
| | -d '{ |
| | "ckpt_repo": "thepatch/magenta-ft", |
| | "ckpt_step": 1863001, |
| | "size": "large", |
| | "prewarm": true |
| | }'</code></pre> |
| | <p style="margin:8px 0 0 0;"><small>when you call <code>prewarm:true</code>, the backend performs a warmup before returning, so the first jam starts hot.</small></p> |
| | </details> |
| | </section> |
| |
|
| | <p style="text-align:center; margin-top:12px;"> |
| | <a class="btn" href="/tester" target="_blank" style=" |
| | display:inline-block; padding:10px 14px; border-radius:8px; |
| | background:#111; color:#eee; text-decoration:none; border:1px solid #444;"> |
| | open realtime web tester |
| | </a> |
| | </p> |
| |
|
| | <div class="demo-placeholder"> |
| | <h3>app demo video</h3> |
| | <video controls preload="metadata" playsinline style="width:100%; border-radius:8px; max-width:540px; display:block; margin:0 auto"> |
| | <source src="./lil_demo_540p.mp4" type="video/mp4"> |
| | Your browser does not support the video tag. |
| | </video> |
| | <p class="muted"><small>iPhone app generating music in real-time</small></p> |
| | </div> |
| |
|
| | <div class="section"> |
| | <h2>overview</h2> |
| | <p>this API revolves around google's magentaRT, designed for real-time audio streaming using finetunes hosted on HF. built for iOS app integration with webSocket streaming support for web applications (and potentially VST plugins).</p> |
| | </div> |
| |
|
| | <div class="section"> |
| | <h2>quick start - webSocket streaming</h2> |
| | <p>connect to <code>wss://<your-space>/ws/jam</code> for real-time audio generation:</p> |
| |
|
| | <h3>start real-time generation</h3> |
| | <pre><button class="copy-btn" onclick="copyCode(this)">Copy</button>{ |
| | "type": "start", |
| | "mode": "rt", |
| | "binary_audio": false, |
| | "params": { |
| | "styles": "electronic, ambient", |
| | "style_weights": "1.0, 0.8", |
| | "temperature": 1.1, |
| | "topk": 40, |
| | "guidance_weight": 1.1, |
| | "pace": "realtime", |
| | "style_ramp_seconds": 8.0, |
| | "mean": 0.0, |
| | "centroid_weights": "0.0, 0.0, 0.0" |
| | } |
| | }</pre> |
| |
|
| | <h3>update parameters live</h3> |
| | <pre><button class="copy-btn" onclick="copyCode(this)">Copy</button>{ |
| | "type": "update", |
| | "styles": "jazz, hiphop", |
| | "style_weights": "1.0, 0.8", |
| | "temperature": 1.2, |
| | "topk": 64, |
| | "guidance_weight": 1.0, |
| | "mean": 0.2, |
| | "centroid_weights": "0.1, 0.3, 0.0" |
| | }</pre> |
| |
|
| | <h3>stop generation</h3> |
| | <pre><button class="copy-btn" onclick="copyCode(this)">Copy</button>{"type": "stop"}</pre> |
| | </div> |
| |
|
| | <div class="section"> |
| | <h2>API endpoints</h2> |
| | |
| | <div class="endpoint"> |
| | <strong>POST /generate</strong> - generate 4–8 bars of music with input audio |
| | </div> |
| | |
| | <div class="endpoint"> |
| | <strong>POST /generate_style</strong> - generate music from style prompts only (experimental) |
| | </div> |
| | |
| | <div class="endpoint"> |
| | <strong>POST /jam/start</strong> - start continuous jamming session |
| | </div> |
| | |
| | <div class="endpoint"> |
| | <strong>GET /jam/next</strong> - get next audio chunk from session |
| | </div> |
| | |
| | <div class="endpoint"> |
| | <strong>POST /jam/consume</strong> - mark chunk as consumed |
| | </div> |
| | |
| | <div class="endpoint"> |
| | <strong>POST /jam/stop</strong> - end jamming session |
| | </div> |
| | |
| | <div class="endpoint"> |
| | <strong>WEBSOCKET /ws/jam</strong> - real-time streaming interface |
| | </div> |
| | |
| | <div class="endpoint"> |
| | <strong>POST /model/select</strong> - switch between base and fine-tuned models |
| | </div> |
| | </div> |
| |
|
| | <div class="section"> |
| | <h2>custom fine-tuning</h2> |
| | <p>train your own MagentaRT models and use them in the web app demo or the iOS app.</p> |
| |
|
| | <div class="grid"> |
| | <div class="card"> |
| | <h3>1. train your model</h3> |
| | <p>use the official MagentaRT fine-tuning notebook:</p> |
| | <p><a href="https://colab.research.google.com/github/magenta/magenta-realtime/blob/main/notebooks/Magenta_RT_Finetune.ipynb" target="_blank">MagentaRT Fine-tuning Colab</a></p> |
| | <p>this will create checkpoint folders like:</p> |
| | <ul> |
| | <li><code>checkpoint_1861001/</code></li> |
| | <li><code>checkpoint_1862001/</code></li> |
| | <li>and steering assets: <code>cluster_centroids.npy</code>, <code>mean_style_embed.npy</code></li> |
| | </ul> |
| | </div> |
| |
|
| | <div class="card"> |
| | <h3>2. package checkpoints</h3> |
| | <p>checkpoints must be compressed as .tgz files to preserve .zarray files correctly.</p> |
| | <div class="warning"> |
| | <strong>important:</strong> do not download checkpoint folders directly from Google Drive - the .zarray files won't transfer properly. |
| | </div> |
| | </div> |
| | </div> |
| |
|
| | <h3>checkpoint packaging script</h3> |
| | <p>use this in a Colab cell to properly package your checkpoints:</p> |
| | <pre><button class="copy-btn" onclick="copyCode(this)">Copy</button># Mount Drive to access your trained checkpoints |
| | from google.colab import drive |
| | drive.mount('/content/drive') |
| |
|
| | # Set the path to your checkpoint folder |
| | CKPT_SRC = '/content/drive/MyDrive/thepatch/checkpoint_1862001' # Adjust path |
| |
|
| | # Copy folder to local storage (preserves dotfiles) |
| | !rm -rf /content/checkpoint_1862001 |
| | !cp -a "$CKPT_SRC" /content/ |
| |
|
| | # Verify .zarray files are present |
| | !find /content/checkpoint_1862001 -name .zarray | wc -l |
| |
|
| | # Create properly formatted .tgz archive |
| | !tar -C /content -czf /content/checkpoint_1862001.tgz checkpoint_1862001 |
| |
|
| | # Verify critical files are in the archive |
| | !tar -tzf /content/checkpoint_1862001.tgz | grep -c '.zarray' |
| |
|
| | # Download the .tgz file |
| | from google.colab import files |
| | files.download('/content/checkpoint_1862001.tgz')</pre> |
| |
|
| | <h3>3. upload to hugging face</h3> |
| | <p>create a model repository and upload:</p> |
| | <ul> |
| | <li>Your <code>.tgz</code> checkpoint files</li> |
| | <li><code>cluster_centroids.npy</code> (for steering)</li> |
| | <li><code>mean_style_embed.npy</code> (for steering)</li> |
| | </ul> |
| | |
| | <div class="info"> |
| | <strong>example repository:</strong> <a href="https://huggingface.co/thepatch/magenta-ft" target="_blank">thepatch/magenta-ft</a><br> |
| | shows the correct file structure with .tgz files and .npy steering assets in the root directory. |
| | </div> |
| |
|
| | <h3>4. use in the app</h3> |
| | <p>in the iOS app's model selector, point to your hf repository URL. the app will automatically discover available checkpoints and allow switching between them.</p> |
| | </div> |
| |
|
| | <div class="section"> |
| | <h2>technical specifications</h2> |
| | <ul> |
| | <li><strong>audio format:</strong> 48 kHz stereo, ~2.0s chunks with ~40ms crossfade. the 4/8 bar chunks will have varying length due to input bpm</li> |
| | <li><strong>model sizes:</strong> 'base' and 'large' variants available (we didn't notice any speedup in generation time using 'base' rather than 'large')</li> |
| | <li><strong>steering:</strong> support for text prompts, audio embeddings, and centroid-based fine-tune steering</li> |
| | <li><strong>real-time performance:</strong> L40S recommended; L4 will experience slight delays</li> |
| | <li><strong>Memory Requirements:</strong> 30+GB VRAM for sustained real-time streaming</li> |
| | </ul> |
| |
|
| |
|
| |
|
| | <div class="section"> |
| | <h2>a little more about the ios app</h2> |
| | <p>uses http requests</p> |
| | <ul> |
| | <li>the reseed endpoints are still under development... the idea is to re-inject the initial context with token splicing</li> |
| | <li>single-shot generation endpoints (one_shot_generation.py)</li> |
| | <li>the stable-audio-open-small backend is hosted by me. it generates with just 2gb GPU RAM</li> |
| | <li>gradual style embed changes to try and avoid abrupt genre switches</li> |
| | </ul> |
| | </div> |
| |
|
| | <div class="warning"> |
| | <strong>note:</strong> the <code>/generate_style</code> endpoint is experimental and may not properly adhere to BPM without additional context (considering metronome-based context instead of silence). |
| | </div> |
| | </div> |
| |
|
| | <div class="section"> |
| | <h2>deployment</h2> |
| | <p>to run your own instance:</p> |
| | <ol> |
| | <li>duplicate this huggingface space by clicking the three dots in the top right</li> |
| | <li>select 'run locally' if you got a 5090 or something, otherwise just duplicate.</li> |
| | <li>ensure you have access to an L40S GPU by enabling billing</li> |
| | <li>point your iOS app to the new space URL (e.g., <code>https://your-username-magenta-retry.hf.space</code>)</li> |
| | <li>upload your fine-tuned models to hf as described above </li> |
| | </ol> |
| | </div> |
| |
|
| | <div class="section"> |
| | <h2>support & contact</h2> |
| | <p>this is an active research project. for questions, technical support, or collaboration:</p> |
| | <p><strong>email:</strong> <a href="mailto:kev@thecollabagepatch.com">kev@thecollabagepatch.com</a></p> |
| | |
| | <div class="info"> |
| | <strong>research Status:</strong> this project is under very active development. features and API may change. We welcome feedback and contributions from the research community. im just a vibe coder. |
| | </div> |
| | </div> |
| |
|
| | <div class="section"> |
| | <h2>licensing</h2> |
| | <p>built on google's magentaRT (Apache 2.0 + CC-BY 4.0). users are responsible for their generated outputs and ensuring compliance with applicable laws and platform policies.</p> |
| | <p><a href="/docs">auto-generated API docs (for all the http requests)</a></p> |
| | </div> |
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