[diffusion] feat: automatically infer comfy fp8 activation scaling (#36060)

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

@@ -273,8 +273,10 @@ sglang serve \
   --port 30010
 ```
 
-SGLang uses its native static-activation FP8 linear path for attention and
-`fc1`. The checkpoint marks `fc2` for full-precision matrix multiplication, so
+SGLang uses its native static-activation FP8 linear path when the checkpoint
+stores input scales, and automatically uses dynamic activation scaling for
+Comfy FP8 exports that omit them. The checkpoint above marks `fc2` for
+full-precision matrix multiplication, so
 SGLang retains its FP8 storage but materializes and scales one compute-dtype
 `fc2` matrix for each call. This preserves the checkpoint's mixed execution
 contract and low resident weight memory, but that part is slower than a fully

docs/docs/sglang-diffusion/quantization.mdx

@@ -51,7 +51,9 @@ repo contains multiple candidate checkpoints, pass
 `--transformer-weights-path` explicitly.
 
 MiniMax-H3 is a verified example for Comfy safetensors with per-layer metadata,
-including `pruned_fp8_scaled` and serialized ConvRot INT8. Pass one selected
+including `pruned_fp8_scaled` and serialized ConvRot INT8. Other Comfy FP8
+exports are also auto-detected: the presence of an input scale selects static
+activation scaling, while its absence selects dynamic scaling. Pass one selected
 FL2VA or Ref2VA DiT file by local path, `owner/repo/path/file.safetensors`, or
 direct Hugging Face file URL; do not combine it with `--quantization`. Its GGUF
 usage is documented in