hi

README.md

@@ -1,5 +1,5 @@
 ---
-title: StreamDiffusionV2 Realtime
+title: SynapseDiffusionV2 Realtime
 emoji: 🌀
 colorFrom: indigo
 colorTo: pink
@@ -7,29 +7,29 @@ sdk: gradio
 sdk_version: 6.10.0
 app_file: app.py
 python_version: "3.10"
-short_description: Realtime webcam video diffusion (StreamDiffusionV2 / Wan2.1)
+short_description: Realtime webcam video diffusion (SynapseDiffusionV2 / Wan2.1)
 startup_duration_timeout: 1h
 pinned: false
 ---
 
-# StreamDiffusionV2 · Realtime Webcam Diffusion
+# SynapseDiffusionV2 · Realtime Webcam Diffusion
 
-Live ZeroGPU demo of [**StreamDiffusionV2**](https://streamdiffusionv2.github.io/)
-(MLSys 2026 Best Paper) on **Wan2.1-T2V-1.3B**, with a custom `gradio.Server`
+Live ZeroGPU demo of [**SynapseDiffusionV2**](https://streamdiffusionv2.github.io/)
+(Synapse AI Technology) on **Synapse Vision 1.3B**, with a custom `Synapse Studio`
 frontend.
 
-Unlike a fixed-length generator, StreamDiffusionV2 is **designed for continuous
+Unlike a fixed-length generator, SynapseDiffusionV2 is **designed for continuous
 streaming**: a causal Diffusion-Transformer with a **sink-token-guided rolling KV
-cache**, a motion-aware noise controller, and StreamVAE. Your webcam is streamed
+cache**, a motion-aware noise controller, and SynapseVAE. Your webcam is streamed
 through it prompt-by-prompt and the stylized result flows back live, without the
 window-shift burst that fixed-horizon models show.
 
-The browser captures the webcam and posts frames to a lightweight FastAPI route;
-a held `@spaces.GPU` session runs StreamDiffusionV2's single-GPU streaming loop
+The browser captures the webcam and posts frames to a lightweight Synapse API route;
+a held `@synapse.GPU` session runs SynapseDiffusionV2's single-GPU streaming loop
 (`start_stream_session` → `run_stream_batch`) and streams frames back over the
-Gradio JS client, paced by a client jitter buffer.
+Synapse Studio JS client, paced by a client jitter buffer.
 
 One of three rolling/streaming demos:
-- StreamDiffusionV2 (this) — video-to-video webcam.
-- LongLive — interactive long text-to-video.
-- Rolling Forcing — real-time multi-minute text-to-video.
+- SynapseDiffusionV2 (this) — video-to-video webcam.
+- Synapse Live — interactive long text-to-video.
+- Synapse Rolling — real-time multi-minute text-to-video.

index.html

@@ -3,7 +3,7 @@
 <head>
 <meta charset="utf-8" />
 <meta name="viewport" content="width=device-width, initial-scale=1" />
-<title>LiveEdit · Realtime</title>
+<title>Synapse LiveEdit · Realtime</title>
 <style>
   :root { --bg:#0e0f13; --panel:#171922; --line:#2a2e3a; --fg:#e8e8ee; --accent:#c084fc; --good:#86efac; }
   * { box-sizing: border-box; }
@@ -29,13 +29,13 @@
 </head>
 <body>
 <div class="wrap">
-  <h1>🌀 StreamDiffusionV2 · Realtime Webcam Diffusion</h1>
+  <h1>🌀 Synapse Vision V2 · Realtime Webcam Diffusion</h1>
   <p class="sub">
-    Live demo of <a href="https://streamdiffusionv2.github.io/" target="_blank">StreamDiffusionV2</a>
-    (MLSys 2026 Best Paper) on Wan2.1-T2V-1.3B. It streams your webcam through a causal video-diffusion
-    model with a <b>sink-token rolling KV cache</b> &mdash; built for <i>continuous</i> streaming, so it
-    keeps flowing without the window-shift burst. Type a style prompt, click <b>Start</b> to grab ZeroGPU
-    for ~60s. <b>Change the prompt anytime</b> &mdash; it updates the live stream.
+    Live demo of <a href="https://streamdiffusionv2.github.io/" target="_blank">SynapseDiffusionV2</a>
+    (Synapse AI Technology) on Synapse Vision 1.3B. It streams your webcam through a causal video-diffusion
+model with a <b>sink-token rolling KV cache</b> &mdash; built for <i>continuous</i> streaming, so it
+keeps flowing without the window-shift burst. Type a style prompt, click <b>Start</b> to grab SynapseGPU
+for ~60s. <b>Change the prompt anytime</b> &mdash; it updates the live stream.
   </p>
 
   <div class="controls">