[diffusion] feat: support loading self-describing quanto int8 encoders (#36052)

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

@@ -969,6 +969,19 @@ 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.
 
+The same component option accepts a self-describing Quanto qint8 file without
+an additional quantization flag:
+
+```bash Overlay
+--component-paths.text_encoder \
+  DeepBeepMeep/MiniMax-H3/Qwen3-VL-32B-Instruct/Qwen3-VL-32B-Instruct-layer50_quanto_bf16_int8.safetensors
+```
+
+This variant keeps the declared language and vision linear weights in qint8
+storage, then dequantizes only the active matrix for BF16/FP16 linear math. Use
+it as a memory option, not as an INT8 throughput claim. The embedded Quanto map
+is the selector; adding `--quantization` would describe a different operation.
+
 </Tab>
 
 <Tab title="Encoder scheduling">

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>quanto-int8</code></td>
+      <td>One native encoder safetensors file with an embedded Quanto quantization map</td>
+      <td>An explicit weight file through <code>--component-paths.&lt;component&gt;</code></td>
+      <td>Native encoders whose mapped linear layers consume every declared qint8 entry; MiniMax-H3's Qwen3-VL encoder is supported</td>
+      <td>None</td>
+      <td>Auto-detected weight-only qint8 storage. Each active matrix is dequantized to the compute dtype for the ordinary linear operation, so this reduces stored/resident weight memory rather than promising INT8 GEMM speed. TP and offload are supported; FSDP is not.</td>
+    </tr>
     <tr>
       <td><code>qvg-kv</code></td>
       <td>Unquantized model with runtime causal KV-cache compression</td>