[diffusion] feat: support loading serialized convrot w4a4 checkpoints (#36039)

docs/cookbook/diffusion/MiniMax/MiniMax-H3.mdx

@@ -306,6 +306,12 @@ and packed INT4 tensors automatically. Do not add `--quantization`. TP remains
 subject to each row-parallel shard preserving the checkpoint's ConvRot group
 boundary, and FSDP is rejected.
 
+W4A4 ConvRot files are also detected from their layer metadata. Install a
+current `comfy-kitchen`, then pass a full or pruned FL2VA / Ref2VA file such as
+`Merserk/MiniMax-H3-INT4-ConvRot/minimax_h3_fl2va_pruned_int4_convrot.safetensors`
+to `--transformer-weights-path`. The packed weights stay INT4 and the runtime
+honors each layer's activation mode; omit `--quantization`.
+
 ### Advanced: precomputed AdaLN cache
 
 The [model card](https://huggingface.co/MiniMaxAI/MiniMax-H3) notes that about
@@ -969,6 +975,16 @@ Install `comfy-kitchen>=0.2.27` and omit `--quantization`. SGLang automatically
 loads its W4A8 language linears and tensorwise INT8 embedding; the unmarked
 vision tower remains BF16.
 
+W4A4 Qwen3-VL files use the same overlay, for example:
+
+```bash Overlay
+--component-paths.text_encoder \
+  Merserk/MiniMax-H3-INT4-ConvRot/qwen3vl_32b_minimax_h3_int4_convrot.safetensors
+```
+
+This checkpoint keeps its unmarked embedding and vision tower in their source
+precision; no explicit component quantization option is needed.
+
 The same component option accepts a self-describing Quanto qint8 file without
 an additional quantization flag:
 

docs/docs/sglang-diffusion/quantization.mdx

@@ -200,6 +200,14 @@ backend.
       <td><code>comfy-kitchen&gt;=0.2.27</code></td>
       <td>Auto-detected; omit <code>--quantization</code>. Requires SM80+ and validates packed weights, group/channel scales, and optional codebooks before model construction. Mixed encoder files may keep their embedding tensorwise INT8. TP must preserve ConvRot group boundaries; offload is supported and FSDP is not.</td>
     </tr>
+    <tr>
+      <td><code>comfy-w4a4-convrot</code></td>
+      <td>Safetensors with serialized <code>convrot_w4a4</code> layer metadata</td>
+      <td><code>--transformer-weights-path</code> or <code>--component-paths.text_encoder</code></td>
+      <td>Native DiTs and encoders with matching parameter mappings; MiniMax-H3 FL2VA / Ref2VA DiTs and Qwen3-VL encoder layouts are recognized</td>
+      <td><code>comfy-kitchen</code></td>
+      <td>Auto-detected; omit <code>--quantization</code>. Packed INT4 weights use the checkpoint's W4A4 ConvRot kernel and <code>linear_dtype</code>. CUDA requires SM75+; TP must preserve the 64-element quantization and ConvRot group boundaries. Offload is supported and FSDP is not.</td>
+    </tr>
     <tr>
       <td><code>quanto-int8</code></td>
       <td>One native encoder safetensors file with an embedded Quanto quantization map</td>