aryan5v · aryan5v · Sep 19, 2026 · Sep 19, 2026 · Sep 19, 2026 · Sep 19, 2026
diff --git a/.gitignore b/.gitignore
@@ -142,3 +142,4 @@ fastvideo/tests/ssim/reference_videos/**
 *.nvimlog
 .nvimlog
 .python-version
+scripts/benchmarks/minimax_h3_pro6000/headline_results/
diff --git a/docs/assets/cookbook-recipes.json b/docs/assets/cookbook-recipes.json
@@ -1,5 +1,5 @@
 {
-  "version": 11,
+  "version": 13,
   "recipes": [
     {
       "id": "fastwan21-t2v",
@@ -578,6 +578,77 @@
         "Height, width, frames, and steps in the YAML are examples. Edit them or pass CLI flags. See docs/getting_started/installation/spark_pair.md."
       ]
     },
+    {
+      "id": "compacth3-rtx5090",
+      "group": "compacth3-rtx5090",
+      "group_label": "CompactH3 on RTX 5090",
+      "group_task": "4-step 42-block text to video + audio",
+      "family": "minimax_h3",
+      "stage": "inference",
+      "task": "Few-step text to video (with audio)",
+      "label": "CompactH3 NVFP4 on RTX 5090",
+      "summary": "Run the 42-block CompactH3 NVFP4 DiT with the NVFP4 Qwen3-VL encoder, Comfy int8-convrot VAE, and SageAttention3 FP4 on one 32 GB RTX 5090. Sequential load parks the encoder in pinned host RAM.",
+      "model": "./CompactH3",
+      "source": "examples/inference/basic/basic_compacth3_rtx5090.yaml",
+      "serving": {
+        "source": "examples/serving/openai_compacth3_rtx5090.yaml",
+        "install": "UV_TORCH_BACKEND=cu128 uv pip install -e \".[fasth3]\"",
+        "prepare": "hf download FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree --local-dir ./CompactH3 --include model_index.json --include \"tokenizer/**\" --include \"processor/**\" --include \"scheduler/**\" --include \"audio_scheduler/**\" --include \"audio_vae/**\" --include \"vae/**\"\nhf download aryan5v/FastH3-20B-42block-dmd2-ckpt1400-bf16 --local-dir ./CompactH3/transformer\nhf download aryan5v/FastH3-20B-42block-dmd2-ckpt1400-nvfp4 --local-dir ./CompactH3/transformer --include nvfp4_weights.safetensors\nhf download KyleNeverGivesUp/FastH3-text-encoder-nvfp4 --local-dir ./CompactH3/text_encoder\nhf download Comfy-Org/MiniMax-H3 --local-dir ./Comfy-MiniMax-H3 --include vae/minimax_h3_video_vae_int8_convrot.safetensors\ncp ./Comfy-MiniMax-H3/vae/minimax_h3_video_vae_int8_convrot.safetensors ./CompactH3/vae/",
+        "env": "FASTVIDEO_ATTENTION_BACKEND=ATTN_QAT_INFER FASTVIDEO_VSA_SM100A=0 FASTVIDEO_FA4=0 FLASHINFER_CUDA_ARCH_LIST=12.0a"
+      },
+      "command": "FASTVIDEO_ATTENTION_BACKEND=ATTN_QAT_INFER FASTVIDEO_VSA_SM100A=0 FASTVIDEO_FA4=0 FLASHINFER_CUDA_ARCH_LIST=12.0a FASTVIDEO_STAGE_LOGGING=1 fastvideo generate --config examples/inference/basic/basic_compacth3_rtx5090.yaml",
+      "gpu_types": ["NVIDIA"],
+      "hardware": {
+        "platform": "cuda",
+        "gpu_count": 1,
+        "evidence": "source-configured"
+      },
+      "evidence": "Source-backed",
+      "expected_artifact": "MP4 under outputs/compacth3_rtx5090/",
+      "modes": ["T2VA", "CompactH3 NVFP4", "RTX 5090"],
+      "limitations": [
+        "Assemble ./CompactH3 before running. The DiT NVFP4 export and encoder snapshot are gated; run huggingface-cli login and accept each repo license.",
+        "32 GB cannot keep the NVFP4 encoder and DiT on the GPU together. Keep h3_sequential_load on and lazy_module_load off.",
+        "Blackwell sm_120 needs ATTN_QAT_INFER, FLASHINFER_CUDA_ARCH_LIST=12.0a, and a CUDA 12.8 PyTorch wheel.",
+        "Legal num_frames values are 17n+5, capped at 362 (15.08 s). Native 16:9 sizes include 832x480 and 1344x768; 1344x768 on 32 GB is unmeasured."
+      ]
+    },
+    {
+      "id": "compacth3-rtx-pro6000",
+      "group": "compacth3-rtx-pro6000",
+      "group_label": "CompactH3 on RTX PRO 6000",
+      "group_task": "4-step 42-block text to video + audio",
+      "family": "minimax_h3",
+      "stage": "inference",
+      "task": "Few-step text to video (with audio)",
+      "label": "CompactH3 NVFP4 on RTX PRO 6000 Blackwell",
+      "summary": "Run CompactH3 NVFP4 with the encoder, DiT, and int8-convrot VAE resident on one 96 GB RTX PRO 6000 Blackwell. The checked-in example is 1344x768 and 124 frames (5.17 s) with VAE torch.compile. Use 832x480 for clip-queue playground traffic.",
+      "model": "./CompactH3",
+      "source": "examples/inference/basic/basic_compacth3_rtx_pro6000.yaml",
+      "serving": {
+        "source": "examples/serving/openai_compacth3_rtx_pro6000.yaml",
+        "install": "UV_TORCH_BACKEND=cu128 uv pip install -e \".[fasth3]\"",
+        "prepare": "hf download FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree --local-dir ./CompactH3 --include model_index.json --include \"tokenizer/**\" --include \"processor/**\" --include \"scheduler/**\" --include \"audio_scheduler/**\" --include \"audio_vae/**\" --include \"vae/**\"\nhf download aryan5v/FastH3-20B-42block-dmd2-ckpt1400-bf16 --local-dir ./CompactH3/transformer\nhf download aryan5v/FastH3-20B-42block-dmd2-ckpt1400-nvfp4 --local-dir ./CompactH3/transformer --include nvfp4_weights.safetensors\nhf download KyleNeverGivesUp/FastH3-text-encoder-nvfp4 --local-dir ./CompactH3/text_encoder\nhf download Comfy-Org/MiniMax-H3 --local-dir ./Comfy-MiniMax-H3 --include vae/minimax_h3_video_vae_int8_convrot.safetensors\ncp ./Comfy-MiniMax-H3/vae/minimax_h3_video_vae_int8_convrot.safetensors ./CompactH3/vae/",
+        "env": "FASTVIDEO_ATTENTION_BACKEND=ATTN_QAT_INFER FASTVIDEO_VSA_SM100A=0 FASTVIDEO_FA4=0 FLASHINFER_CUDA_ARCH_LIST=12.0a"
+      },
+      "command": "FASTVIDEO_ATTENTION_BACKEND=ATTN_QAT_INFER FASTVIDEO_VSA_SM100A=0 FASTVIDEO_FA4=0 FLASHINFER_CUDA_ARCH_LIST=12.0a FASTVIDEO_STAGE_LOGGING=1 fastvideo generate --config examples/inference/basic/basic_compacth3_rtx_pro6000.yaml",
+      "gpu_types": ["NVIDIA"],
+      "hardware": {
+        "platform": "cuda",
+        "gpu_count": 1,
+        "evidence": "source-configured"
+      },
+      "evidence": "Source-backed",
+      "expected_artifact": "MP4 under outputs/compacth3_rtx_pro6000/",
+      "modes": ["T2VA", "CompactH3 NVFP4", "RTX PRO 6000"],
+      "limitations": [
+        "Assemble ./CompactH3 before running. The DiT NVFP4 export and encoder snapshot are gated; run huggingface-cli login and accept each repo license.",
+        "96 GB keeps the encoder, DiT, and VAE on GPU. Do not enable h3_sequential_load or lazy_module_load on this box.",
+        "Enable compile.vae_enabled. Leave inference_torch_compile off: FlashInfer and Sage3 custom ops cannot be compiled.",
+        "Blackwell sm_120 needs ATTN_QAT_INFER, FLASHINFER_CUDA_ARCH_LIST=12.0a, and a CUDA 12.8 PyTorch wheel.",
+        "Legal num_frames values are 17n+5, capped at 362 (15.08 s). Native 16:9 sizes include 832x480 and 1344x768. Dense CompactH3 has zero VSA gates; the pipeline raises if VIDEO_SPARSE_ATTN_H3 is loaded with all-zero to_gate_compress weights."
+      ]
+    },
     {
       "id": "fasth3-8step-v2-cuda",
       "group": "fasth3-8step-v2",

diff --git a/docs/cookbook/cosmos.md b/docs/cookbook/cosmos.md
@@ -5,7 +5,7 @@ hide:
 
 # Cosmos recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="cosmos" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="cosmos" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/flux.md b/docs/cookbook/flux.md
@@ -5,7 +5,7 @@ hide:
 
 # FLUX recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="flux" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="flux" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/glm-image.md b/docs/cookbook/glm-image.md
@@ -5,7 +5,7 @@ hide:
 
 # GLM-Image recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="glm_image" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="glm_image" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/hunyuan.md b/docs/cookbook/hunyuan.md
@@ -5,7 +5,7 @@ hide:
 
 # Hunyuan recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="hunyuan" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="hunyuan" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/kandinsky5.md b/docs/cookbook/kandinsky5.md
@@ -5,7 +5,7 @@ hide:
 
 # Kandinsky 5 recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="kandinsky5" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="kandinsky5" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/longcat.md b/docs/cookbook/longcat.md
@@ -5,7 +5,7 @@ hide:
 
 # LongCat recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="longcat" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="longcat" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/ltx.md b/docs/cookbook/ltx.md
@@ -5,7 +5,7 @@ hide:
 
 # LTX recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="ltx2" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="ltx2" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/matrix-game.md b/docs/cookbook/matrix-game.md
@@ -5,7 +5,7 @@ hide:
 
 # Matrix Game recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="matrixgame" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="matrixgame" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/minimax-h3.md b/docs/cookbook/minimax-h3.md
@@ -10,8 +10,10 @@ launch. Some Hub repo names still say Preview. That name is historical. V1 is
 a full model, not a demo. **V2** is the eight-step checkpoint. More forwards
 is why V2 is the higher-quality FastH3. The V2 schedule contract is in
 [FastH3 distilled checkpoint schedules](../inference/fasth3-distilled.md).
+**CompactH3** is the 42-block 20B NVFP4 H3 checkpoint for one Blackwell GPU
+(RTX 5090 or RTX PRO 6000). The FastH3 V1 and V2 recipes are unchanged.
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="minimax_h3" data-default-recipe="fasth3-preview-cuda" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="minimax_h3" data-default-recipe="fasth3-preview-cuda" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">
@@ -21,8 +23,8 @@ is why V2 is the higher-quality FastH3. The V2 schedule contract is in
       <div>
         <p class="cookbook-eyebrow">Primary focus · Inference</p>
         <h2>MiniMax H3 recipes</h2>
-        <p>Generate video and audio with H3. Run a server on CUDA, one DGX Spark, or Apple Silicon MLX to iterate on prompts, or call the pipeline directly from Python.</p>
-        <span class="cookbook-count" data-cookbook-count>9 maintained recipes</span>
+        <p>Generate video and audio with H3. Run a server on CUDA, one Blackwell GPU, one DGX Spark, or Apple Silicon MLX to iterate on prompts, or call the pipeline directly from Python.</p>
+        <span class="cookbook-count" data-cookbook-count>11 maintained recipes</span>
       </div>
     </div>
     <div class="cookbook-lifecycle" aria-label="Lifecycle stages">
@@ -47,7 +49,7 @@ is why V2 is the higher-quality FastH3. The V2 schedule contract is in
     <h2 id="h3-modes-heading">Supported modes</h2>
     <p>
       CUDA covers T2VA, FL2VA, and Ref2VA on the full checkpoint, plus FastH3
-      V1 and FastH3 V2. FastH3 V1 also has a DGX Spark runtime with
+      V1 and FastH3 V2, plus CompactH3 NVFP4 on one Blackwell GPU. FastH3 V1 also has a DGX Spark runtime with
       a 1-Spark or 2-Spark device row. MLX is T2VA only: V1 and V2.
       Temporal <code>--fast</code>, spatial <code>--fast-spatial</code>, and opt-in VSA are flags on the same
       MLX script, not extra recipes.
@@ -64,7 +66,7 @@ is why V2 is the higher-quality FastH3. The V2 schedule contract is in
         <tbody>
           <tr>
             <td>T2VA</td>
-            <td>Full H3, FastH3 V1, FastH3 LoRA, FastH3 V2</td>
+            <td>Full H3, FastH3 V1, FastH3 LoRA, FastH3 V2, CompactH3 NVFP4</td>
             <td>FastH3 V1 or FastH3 V2 after a local DiT conversion</td>
           </tr>
           <tr>
@@ -102,6 +104,11 @@ is why V2 is the higher-quality FastH3. The V2 schedule contract is in
             <td>FastH3 V1 on one GB10, or two Sparks with Ray sequence parallel (<code>sp_size=2</code>) over QSFP RoCE. Select NVIDIA DGX Spark, then 1 Spark or 2 Sparks.</td>
             <td>Not wired</td>
           </tr>
+          <tr>
+            <td>CompactH3 NVFP4</td>
+            <td>42-block 20B checkpoint on one RTX 5090 (32 GB, sequential encoder offload) or one RTX PRO 6000 Blackwell (96 GB, encoder+DiT+VAE resident). SageAttention3 FP4, packed NVFP4 DiT, Comfy int8-convrot VAE.</td>
+            <td>Not wired</td>
+          </tr>
         </tbody>
       </table>
     </div>
@@ -110,7 +117,7 @@ is why V2 is the higher-quality FastH3. The V2 schedule contract is in
   <section class="cookbook-builder" id="recipe-builder" aria-labelledby="builder-heading">
     <div class="cookbook-builder__intro">
       <h2 id="builder-heading">Pick an H3 recipe and runtime</h2>
-      <p>Choose the result you want, then use a maintained CUDA, DGX Spark, or MLX path.
+      <p>Choose the result you want, then use a maintained CUDA, Blackwell, DGX Spark, or MLX path.
       Device claims stay tied to checked-in sources and recorded runs.</p>
     </div>
 
@@ -275,7 +282,8 @@ cd FastVideo</code></pre>
         <li>The MLX source runtime supports T2VA, optional temporal <code>--fast</code>, optional spatial <code>--fast-spatial</code>, and opt-in VSA on <code>--include-vsa</code> checkpoints. FastH3 V2 MLX converts with <code>--include-vsa</code> and runs eight forwards. FL2VA, Ref2VA, and two-pass refinement are not wired.</li>
         <li>GPU count and VAE decode backend are configurable in the builder above for FastH3 CUDA recipes. Only the value shown by default has a recorded run; other supported values are unmeasured here.</li>
         <li>DGX Spark is a runtime on FastH3 V1, not a separate family card. Select NVIDIA DGX Spark, then 1 Spark or 2 Sparks. The CUDA GPU-count knob does not apply to Spark.</li>
-        <li>GB10 has no FA4 / sm_100a VSA kernel. Keep <code>FASTVIDEO_FA4=0</code> and <code>FASTVIDEO_VSA_SM100A=0</code>. Legal <code>num_frames</code> values are <code>17n+5</code>, capped at 362 (15.08 s). A 345-frame request on one Spark can OOM.</li>
+        <li>CompactH3 NVFP4 is one Blackwell GPU. RTX 5090 (32 GB) parks the encoder in pinned host RAM. RTX PRO 6000 Blackwell (96 GB) keeps encoder, DiT, and VAE resident. Keep <code>FASTVIDEO_ATTENTION_BACKEND=ATTN_QAT_INFER</code>, <code>FASTVIDEO_FA4=0</code>, <code>FASTVIDEO_VSA_SM100A=0</code>, and <code>FLASHINFER_CUDA_ARCH_LIST=12.0a</code>. On PRO 6000 enable VAE compile and leave DiT <code>inference_torch_compile</code> off. CompactH3 is a dense prune; do not enable <code>VIDEO_SPARSE_ATTN_H3</code> until a VSA-trained student exists.</li>
+        <li>GB10 has no FA4 / sm_100a VSA kernel. Keep <code>FASTVIDEO_FA4=0</code> and <code>FASTVIDEO_VSA_SM100A=0</code>. Legal <code>num_frames</code> values are <code>17n+5</code>, capped at 362 (15.08 s). A 345-frame request on one Spark can OOM. Native 16:9 sizes include 832×480 and 1344×768.</li>
         <li>Gated or missing checkpoints: run <code>huggingface-cli login</code> and confirm you accepted the model's license on Hugging Face.</li>
       </ul>
   </div>

diff --git a/docs/cookbook/mmaudio.md b/docs/cookbook/mmaudio.md
@@ -5,7 +5,7 @@ hide:
 
 # MMAudio recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="mmaudio" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="mmaudio" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/stable-audio.md b/docs/cookbook/stable-audio.md
@@ -5,7 +5,7 @@ hide:
 
 # Stable Audio recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="stable_audio" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="stable_audio" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/stable-diffusion.md b/docs/cookbook/stable-diffusion.md
@@ -5,7 +5,7 @@ hide:
 
 # Stable Diffusion recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="sd35" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="sd35" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/turbodiffusion.md b/docs/cookbook/turbodiffusion.md
@@ -5,7 +5,7 @@ hide:
 
 # TurboDiffusion recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="turbodiffusion" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="turbodiffusion" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/wan.md b/docs/cookbook/wan.md
@@ -5,7 +5,7 @@ hide:
 
 # Wan recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="wan" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="wan" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">

diff --git a/docs/cookbook/z-image.md b/docs/cookbook/z-image.md
@@ -5,7 +5,7 @@ hide:
 
 # Z-Image recipes
 
-<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="zimage" data-recipes="../../assets/cookbook-recipes.json?v=11">
+<div class="cookbook-shell cookbook-family-page" data-cookbook data-family="zimage" data-recipes="../../assets/cookbook-recipes.json?v=13">
   <header class="cookbook-family-header">
     <a class="cookbook-back-link" href="../"><span aria-hidden="true">←</span> All model families</a>
     <div class="cookbook-family-header__body">