diff --git a/static/locales/test.json b/static/locales/test.json
index e1497547..f21dbacf 100644
--- a/static/locales/test.json
+++ b/static/locales/test.json
@@ -10,6 +10,9 @@
     "从左侧列表选择一个模型开始测试": "从左侧列表选择一个模型开始测试",
     "提示词 (Prompt)": "提示词 (Prompt)",
     "描述你想生成的内容...": "描述你想生成的内容...",
+    "源视频媒体 ID": "源视频媒体 ID",
+    "输入源视频的 mediaGenerationId": "输入源视频的 mediaGenerationId",
+    "请输入源视频的 mediaGenerationId": "请输入源视频的 mediaGenerationId",
     "上传图片": "上传图片",
     "点击或拖拽上传图片": "点击或拖拽上传图片",
     "选择模型后开始生成": "选择模型后开始生成",
@@ -21,6 +24,8 @@
     "Veo 3.1 文生视频 (T2V)": "Veo 3.1 文生视频 (T2V)",
     "Veo 3.1 图生视频 (I2V)": "Veo 3.1 图生视频 (I2V)",
     "Veo 3.1 多图视频 (R2V)": "Veo 3.1 多图视频 (R2V)",
+    "Omni 1.1 Flash 视频": "Omni 1.1 Flash 视频",
+    "视频续写 (Extend)": "视频续写 (Extend)",
     "视频放大 (Upsample)": "视频放大 (Upsample)",
     "使用内置候选模型列表:": "使用内置候选模型列表:",
     "加载模型失败:": "加载模型失败:",
@@ -95,6 +100,9 @@
     "从左侧列表选择一个模型开始测试": "Choose a model from the list on the left to begin testing",
     "提示词 (Prompt)": "Prompt",
     "描述你想生成的内容...": "Describe what you want to generate...",
+    "源视频媒体 ID": "Source video media ID",
+    "输入源视频的 mediaGenerationId": "Enter the source video's mediaGenerationId",
+    "请输入源视频的 mediaGenerationId": "Enter the source video's mediaGenerationId",
     "上传图片": "Upload images",
     "点击或拖拽上传图片": "Click or drag images here to upload",
     "选择模型后开始生成": "Select a model to start generating",
@@ -106,6 +114,8 @@
     "Veo 3.1 文生视频 (T2V)": "Veo 3.1 Text-to-Video (T2V)",
     "Veo 3.1 图生视频 (I2V)": "Veo 3.1 Image-to-Video (I2V)",
     "Veo 3.1 多图视频 (R2V)": "Veo 3.1 Multi-reference video (R2V)",
+    "Omni 1.1 Flash 视频": "Omni 1.1 Flash Videos",
+    "视频续写 (Extend)": "Video extension (Extend)",
     "视频放大 (Upsample)": "Video upscaling (Upsample)",
     "使用内置候选模型列表:": "Using built-in model suggestions:",
     "加载模型失败:": "Failed to load models:",
diff --git a/static/test.html b/static/test.html
index 7e86e7cb..3ebe7975 100644
--- a/static/test.html
+++ b/static/test.html
@@ -59,12 +59,13 @@
 
 .form-group { margin-bottom: 14px; }
 .form-group label { display: block; font-size: 13px; color: #888; margin-bottom: 6px; }
-.form-group textarea {
+.form-group textarea, .form-group input[type="text"] {
   width: 100%; background: #0f1117; border: 1px solid #2a2b3a; color: #e1e1e6;
-  padding: 10px 12px; border-radius: 8px; font-size: 14px; resize: vertical; min-height: 80px;
+  padding: 10px 12px; border-radius: 8px; font-size: 14px;
   font-family: inherit;
 }
-.form-group textarea:focus { outline: none; border-color: #7c8aff; }
+.form-group textarea { resize: vertical; min-height: 80px; }
+.form-group textarea:focus, .form-group input[type="text"]:focus { outline: none; border-color: #7c8aff; }
 
 .image-upload-area {
   border: 2px dashed #2a2b3a; border-radius: 8px; padding: 20px; text-align: center;
@@ -148,6 +149,11 @@ <h3 id="selectedModelName"><span data-i18n="请选择模型">请选择模型</sp
           <textarea id="promptInput" placeholder="描述你想生成的内容..." data-i18n-placeholder="描述你想生成的内容...">一只可爱的橘猫趴在窗台上晒太阳，窗外是樱花盛开的春天</textarea>
         </div>
 
+        <div class="form-group" id="videoSourceGroup" style="display:none;">
+          <label for="videoMediaId"><span data-i18n="源视频媒体 ID">源视频媒体 ID</span></label>
+          <input type="text" id="videoMediaId" placeholder="输入源视频的 mediaGenerationId" data-i18n-placeholder="输入源视频的 mediaGenerationId" autocomplete="off">
+        </div>
+
         <div class="form-group" id="imageUploadGroup" style="display:none;">
           <label><span data-i18n="上传图片">上传图片</span> <span id="imageLimit" style="color:#666;font-size:12px;"></span></label>
           <div class="image-upload-area" id="imageUploadArea">
@@ -175,15 +181,40 @@ <h3><span class="status-dot status-idle" id="statusDot"></span> <span id="status
 <script>
     I18n.ready.then(() => {
 
+// Normalize legacy underscore ids so both catalog styles classify identically.
+function normalizeModelId(modelId) {
+  return String(modelId).toLowerCase().replace(/_/g, "-");
+}
+
+// Model family determines reference inputs independently of output resolution.
+function getModelFamily(modelId) {
+  const norm = normalizeModelId(modelId);
+  if (norm.includes("image")) return "image";
+  if (norm.includes("i2v") || norm.includes("interpolation")) return "i2v";
+  if (norm.includes("r2v")) return "r2v";
+  if (norm.includes("omni") || norm.includes("abra")) return "omni";
+  if (norm.includes("extend")) return "extend";
+  return "t2v";
+}
+
+function classifyModel(modelId) {
+  const family = getModelFamily(modelId);
+  const norm = normalizeModelId(modelId);
+  if (family !== "image" && (norm.includes("4k") || norm.includes("1080p"))) return "upsample";
+  return family;
+}
+
 // Model categories for sidebar
 const MODEL_CATEGORIES = {
-  "Gemini 3.1 Flash 图片": { filter: m => m.startsWith("gemini-3.1-flash-image") },
-  "Nano Banana 2 Lite 图片": { filter: m => m.startsWith("gemini-3.1-flash-lite-image") },
-  "Gemini 3.0 Pro 图片": { filter: m => m.startsWith("gemini-3.0-pro-image") },
-  "Veo 3.1 文生视频 (T2V)": { filter: m => m.startsWith("veo_3_1_t2v") && !m.includes("4k") && !m.includes("1080p") },
-  "Veo 3.1 图生视频 (I2V)": { filter: m => m.startsWith("veo_3_1_i2v") && !m.includes("4k") && !m.includes("1080p") },
-  "Veo 3.1 多图视频 (R2V)": { filter: m => m.startsWith("veo_3_1_r2v") && !m.includes("4k") && !m.includes("1080p") },
-  "视频放大 (Upsample)": { filter: m => !m.includes("image") && (m.includes("4k") || m.includes("1080p")) },
+  "Gemini 3.1 Flash 图片": { filter: m => normalizeModelId(m).startsWith("gemini-3.1-flash-image") },
+  "Nano Banana 2 Lite 图片": { filter: m => normalizeModelId(m).startsWith("gemini-3.1-flash-lite-image") },
+  "Gemini 3.0 Pro 图片": { filter: m => normalizeModelId(m).startsWith("gemini-3.0-pro-image") },
+  "Veo 3.1 文生视频 (T2V)": { filter: m => classifyModel(m) === "t2v" },
+  "Veo 3.1 图生视频 (I2V)": { filter: m => classifyModel(m) === "i2v" },
+  "Veo 3.1 多图视频 (R2V)": { filter: m => classifyModel(m) === "r2v" },
+  "Omni 1.1 Flash 视频": { filter: m => classifyModel(m) === "omni" },
+  "视频续写 (Extend)": { filter: m => classifyModel(m) === "extend" },
+  "视频放大 (Upsample)": { filter: m => classifyModel(m) === "upsample" },
 };
 
 const FALLBACK_MODELS = {
@@ -271,6 +302,11 @@ <h3><span class="status-dot status-idle" id="statusDot"></span> <span id="status
   "veo_3_1_r2v_fast_landscape_ultra_relaxed_8s": "Video generation - R2V fast ultra relaxed 8s landscape",
   "veo_3_1_r2v_fast_landscape_ultra_4k": "Video upsample alias - generate R2V landscape then upscale to 4K",
   "veo_3_1_r2v_fast_landscape_ultra_1080p": "Video upsample alias - generate R2V landscape then upscale to 1080P",
+  "omni-1.1-flash": "Video generation - Omni 1.1 Flash 8s landscape, optional reference images",
+  "omni-1.1-flash-4s-landscape": "Video generation - Omni 1.1 Flash 4s landscape",
+  "omni-1.1-flash-4s-portrait": "Video generation - Omni 1.1 Flash 4s portrait",
+  "omni-1.1-flash-8s-landscape": "Video generation - Omni 1.1 Flash 8s landscape",
+  "omni-1.1-flash-8s-portrait": "Video generation - Omni 1.1 Flash 8s portrait",
 };
 
 let ALL_MODELS = {};
@@ -315,20 +351,21 @@ <h3><span class="status-dot status-idle" id="statusDot"></span> <span id="status
 }
 
 function getModelType(modelId) {
-  if (modelId.includes("image")) return "image";
-  return "video";
+  return getModelFamily(modelId) === "image" ? "image" : "video";
 }
 
 function getModelMeta(modelId) {
-  // Determine supports_images, min/max from model name patterns
-  const isI2V = modelId.includes("i2v");
-  const isR2V = modelId.includes("r2v");
-  const isT2V = modelId.includes("t2v");
-  const isImage = getModelType(modelId) === "image";
-
-  if (isImage) return { type: "image", supportsImages: true, minImages: 0, maxImages: 5 };
-  if (isI2V) return { type: "video", supportsImages: true, minImages: 1, maxImages: 2 };
-  if (isR2V) return { type: "video", supportsImages: true, minImages: 0, maxImages: 3 };
+  // Determine supports_images, min/max from the model family
+  const family = getModelFamily(modelId);
+
+  if (family === "image") return { type: "image", supportsImages: true, minImages: 0, maxImages: 5 };
+  if (family === "i2v") return { type: "video", supportsImages: true, minImages: 1, maxImages: 2 };
+  if (family === "r2v" || family === "omni") {
+    return { type: "video", supportsImages: true, minImages: 0, maxImages: 3 };
+  }
+  if (family === "extend") {
+    return { type: "video", supportsImages: false, minImages: 0, maxImages: 0, requiresVideoSource: true };
+  }
   return { type: "video", supportsImages: false, minImages: 0, maxImages: 0 };
 }
 
@@ -406,6 +443,9 @@ <h3><span class="status-dot status-idle" id="statusDot"></span> <span id="status
     uploadGroup.style.display = "none";
   }
 
+  document.getElementById("videoSourceGroup").style.display = meta.requiresVideoSource ? "block" : "none";
+  document.getElementById("videoMediaId").value = "";
+
   // Reset image previews
   document.getElementById("imagePreviewList").innerHTML = "";
   document.getElementById("imageHint").style.display = "block";
@@ -481,6 +521,12 @@ <h3><span class="status-dot status-idle" id="statusDot"></span> <span id="status
   if (!prompt) { alert(I18n.t("请输入提示词")); return; }
   if (!apiKey) { alert(I18n.t("请输入 API Key")); return; }
   if (!baseUrl) { alert(I18n.t("请输入服务地址")); return; }
+  const videoMediaId = STATE.modelConfig.requiresVideoSource
+    ? document.getElementById("videoMediaId").value.trim() : "";
+  if (STATE.modelConfig.requiresVideoSource && !videoMediaId) {
+    alert(I18n.t("请输入源视频的 mediaGenerationId"));
+    return;
+  }
 
   STATE.generating = true;
   const btn = document.getElementById("btnGenerate");
@@ -502,6 +548,9 @@ <h3><span class="status-dot status-idle" id="statusDot"></span> <span id="status
   STATE.images.forEach(dataUrl => {
     content.push({ type: "image_url", image_url: { url: dataUrl } });
   });
+  if (videoMediaId) {
+    content.push({ type: "image_url", image_url: { url: `extend://${videoMediaId}` } });
+  }
 
   const messages = [{ role: "user", content: content.length === 1 ? prompt : content }];
 
diff --git a/tests/test_i18n_browser.py b/tests/test_i18n_browser.py
index ea252d2e..b9afc595 100644
--- a/tests/test_i18n_browser.py
+++ b/tests/test_i18n_browser.py
@@ -1,9 +1,11 @@
 """Browser checks use local pages and mocked API responses, without real accounts."""
 
+import asyncio
 import base64
 import json
 import re
 import threading
+from concurrent.futures import ThreadPoolExecutor
 from http.server import SimpleHTTPRequestHandler, ThreadingHTTPServer
 from pathlib import Path
 from urllib.parse import urlsplit
@@ -599,3 +601,164 @@ def test_extension_language_preserves_settings_and_translates_status(browser_pag
         "Settings saved. The background connection will reconnect automatically."
     )
     assert page.locator("#routeKey").input_value() == "保存"
+
+
+def test_upscaled_video_models_keep_reference_uploads(browser_page):
+    page, base = browser_page
+    open_page(page, base + "/test")
+    image = base64.b64decode(
+        "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+jNekAAAAASUVORK5CYII="
+    )
+    for model, limit in [
+        ("veo_3_1_i2v_s_4k", "(1-2 images)"),
+        ("veo_3_1_i2v_s_1080p", "(1-2 images)"),
+        ("veo_3_1_r2v_fast_landscape_ultra_4k", "(0-3 images)"),
+        ("veo_3_1_r2v_fast_landscape_ultra_1080p", "(0-3 images)"),
+    ]:
+        page.locator(f'.model-item[data-model="{model}"]').click()
+        playwright_api.expect(page.locator("#imageUploadGroup")).to_be_visible()
+        playwright_api.expect(page.locator("#imageLimit")).to_have_text(limit)
+        page.locator("#imageFileInput").set_input_files(
+            {"name": "image.png", "mimeType": "image/png", "buffer": image}
+        )
+        playwright_api.expect(page.locator(".image-preview-item")).to_have_count(1)
+
+
+def test_upsample_heading_keeps_both_translations(browser_page):
+    page, base = browser_page
+    open_page(page, base + "/test")
+    heading = page.locator('.section-title[data-category="视频放大 (Upsample)"]')
+    playwright_api.expect(heading).to_contain_text("Video upscaling (Upsample)")
+    page.locator("[data-language-select]").select_option("zh-CN")
+    playwright_api.expect(heading).to_contain_text("视频放大 (Upsample)")
+    page.locator("[data-language-select]").select_option("en")
+    playwright_api.expect(heading).to_contain_text("Video upscaling (Upsample)")
+
+
+def test_extend_requires_source_and_sends_backend_compatible_reference(browser_page):
+    from src.api.routes import _extract_prompt_and_images_from_openai_messages
+    from src.core.models import ChatMessage
+
+    page, base = browser_page
+    models = [
+        "veo-3.1-fast-extend-8s-landscape",
+        "omni-1.1-flash-4s-landscape",
+        "veo-3.1-fast-8s-landscape",
+    ]
+    page.route(
+        "**/v1/models",
+        lambda route: route.fulfill(
+            content_type="application/json",
+            body=json.dumps({"data": [{"id": model} for model in models]}),
+        ),
+    )
+    requests = []
+
+    def generate_response(route):
+        requests.append(route.request.post_data_json)
+        route.fulfill(
+            content_type="text/event-stream",
+            body='data: {"choices":[{"delta":{"content":"completed"}}]}\n\n'
+            + "data: [DONE]\n\n",
+        )
+
+    page.route("**/v1/chat/completions", generate_response)
+    open_page(page, base + "/test")
+    page.locator("#apiKey").fill("local-test-key")
+    page.locator("#apiKey").press("Tab")
+    page.locator(f'.model-item[data-model="{models[0]}"]').click()
+    source = page.locator("#videoMediaId")
+    playwright_api.expect(source).to_be_visible()
+    playwright_api.expect(page.locator("#imageUploadGroup")).to_be_hidden()
+    playwright_api.expect(page.locator('label[for="videoMediaId"]')).to_have_text(
+        "Source video media ID"
+    )
+    dialogs = []
+
+    def dismiss_dialog(dialog):
+        dialogs.append(dialog.message)
+        dialog.accept()
+
+    page.on("dialog", dismiss_dialog)
+    for language, message in [
+        ("en", "Enter the source video's mediaGenerationId"),
+        ("zh-CN", "请输入源视频的 mediaGenerationId"),
+    ]:
+        page.locator("[data-language-select]").select_option(language)
+        source.fill("   ")
+        page.locator("#btnGenerate").click()
+        assert dialogs[-1] == message
+        assert requests == []
+        playwright_api.expect(page.locator("#btnGenerate")).to_be_enabled()
+
+    source.fill("  source-media-id  ")
+    page.locator("#promptInput").fill("Continue the scene")
+    page.locator("[data-language-select]").select_option("en")
+    assert source.input_value() == "  source-media-id  "
+    page.locator("#btnGenerate").click()
+    playwright_api.expect(page.locator("#outputResult pre")).to_have_text("completed")
+    assert len(requests) == 1
+    body = requests[0]
+    assert body["model"] == models[0]
+    assert body["stream"] is True
+    messages = [ChatMessage(**message) for message in body["messages"]]
+    with ThreadPoolExecutor(max_workers=1) as executor:
+        prompt, images, media_id = executor.submit(
+            asyncio.run, _extract_prompt_and_images_from_openai_messages(messages)
+        ).result(timeout=5)
+    assert (prompt, images, media_id) == ("Continue the scene", [], "source-media-id")
+
+    page.locator(f'.model-item[data-model="{models[1]}"]').click()
+    playwright_api.expect(source).to_be_hidden()
+    assert source.input_value() == ""
+    playwright_api.expect(page.locator("#imageUploadGroup")).to_be_visible()
+    playwright_api.expect(page.locator("#imageLimit")).to_have_text("(0-3 images)")
+    image = base64.b64decode(
+        "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO+jNekAAAAASUVORK5CYII="
+    )
+    page.locator("#imageFileInput").set_input_files(
+        {"name": "image.png", "mimeType": "image/png", "buffer": image}
+    )
+    playwright_api.expect(page.locator(".image-preview-item")).to_have_count(1)
+    page.locator("#btnGenerate").click()
+    playwright_api.expect(page.locator("#outputResult pre")).to_have_text("completed")
+    playwright_api.expect(page.locator("#btnGenerate")).to_be_enabled()
+    assert len(requests) == 2
+    content = requests[-1]["messages"][0]["content"]
+    assert content[0] == {"type": "text", "text": "Continue the scene"}
+    assert content[1]["image_url"]["url"].startswith("data:image/png;base64,")
+
+    page.locator(f'.model-item[data-model="{models[2]}"]').click()
+    playwright_api.expect(source).to_be_hidden()
+    playwright_api.expect(page.locator("#imageUploadGroup")).to_be_hidden()
+    page.locator("#btnGenerate").click()
+    playwright_api.expect(page.locator("#btnGenerate")).to_be_enabled()
+    assert len(requests) == 3
+    assert requests[-1]["messages"] == [
+        {"role": "user", "content": "Continue the scene"}
+    ]
+
+
+def test_model_tester_displays_all_published_models(browser_page):
+    from src.services.generation_handler import MODEL_CONFIG
+
+    page, base = browser_page
+    models = [
+        {"id": model, "description": config.get("display_name", model)}
+        for model, config in MODEL_CONFIG.items()
+        if config.get("listed", True)
+    ]
+    page.route(
+        "**/v1/models",
+        lambda route: route.fulfill(
+            content_type="application/json", body=json.dumps({"data": models})
+        ),
+    )
+    open_page(page, base + "/test")
+    page.locator("#apiKey").fill("local-test-key")
+    page.locator("#apiKey").press("Tab")
+    items = page.locator(".model-item")
+    playwright_api.expect(items).to_have_count(len(models))
+    assert sorted(
+        items.evaluate_all("items => items.map(item => item.dataset.model)")
+    ) == sorted(model["id"] for model in models)