diff --git a/clone_voice.ipynb b/clone_voice.ipynb
index a5e3391..52284ea 100644
--- a/clone_voice.ipynb
+++ b/clone_voice.ipynb
@@ -119,11 +119,30 @@
    "outputs": [],
    "source": [
     "from bark.api import generate_audio\n",
-    "from bark.generation import SAMPLE_RATE\n",
+    "from bark.generation import SAMPLE_RATE, preload_models, codec_decode, generate_coarse, generate_fine, generate_text_semantic\n",
     "text_prompt = \"Hello, my name is Suno. And, uh — and I like pizza. [laughs]\"\n",
     "voice_name = \"speaker_0\" # use your custom voice name here if you have one"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# download and load all models\n",
+    "preload_models(\n",
+    "    text_use_gpu=True,\n",
+    "    text_use_small=False,\n",
+    "    coarse_use_gpu=True,\n",
+    "    coarse_use_small=False,\n",
+    "    fine_use_gpu=True,\n",
+    "    fine_use_small=False,\n",
+    "    codec_use_gpu=True,\n",
+    "    force_reload=False\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -141,7 +160,6 @@
    "outputs": [],
    "source": [
     "# generation with more control\n",
-    "from bark.generation import codec_decode, generate_coarse, generate_fine, generate_text_semantic\n",
     "x_semantic = generate_text_semantic(\n",
     "    text_prompt,\n",
     "    history_prompt=voice_name,\n",
diff --git a/generate.ipynb b/generate.ipynb
index 4f2bb89..f60e165 100644
--- a/generate.ipynb
+++ b/generate.ipynb
@@ -7,11 +7,30 @@
    "outputs": [],
    "source": [
     "from bark.api import generate_audio\n",
-    "from bark.generation import SAMPLE_RATE\n",
+    "from bark.generation import SAMPLE_RATE, preload_models, codec_decode, generate_coarse, generate_fine, generate_text_semantic\n",
     "text_prompt = \"Hello, my name is Suno. And, uh — and I like pizza. [laughs]\"\n",
     "voice_name = \"speaker_0\" # use your custom voice name here if you have one"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# download and load all models\n",
+    "preload_models(\n",
+    "    text_use_gpu=True,\n",
+    "    text_use_small=False,\n",
+    "    coarse_use_gpu=True,\n",
+    "    coarse_use_small=False,\n",
+    "    fine_use_gpu=True,\n",
+    "    fine_use_small=False,\n",
+    "    codec_use_gpu=True,\n",
+    "    force_reload=False\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -29,7 +48,6 @@
    "outputs": [],
    "source": [
     "# generation with more control\n",
-    "from bark.generation import codec_decode, generate_coarse, generate_fine, generate_text_semantic\n",
     "x_semantic = generate_text_semantic(\n",
     "    text_prompt,\n",
     "    history_prompt=voice_name,\n",