Trim the comments across the diffusion backend

Comment-only pass over the Python this PR touches: drop what the code already
says, collapse multi-line explanations that still read on one line, and keep
the reasoning that is not recoverable from the code. No code, docstring
semantics or behaviour changes; verified with an AST comparison against the
previous revision, and the backend suite is unchanged (same 37 environment
failures as before: the API integration tests that need a live keyed server,
the flash-attn install hooks, and the GPU memory fields).

scripts/int8_linear_probe.py

@@ -45,8 +45,8 @@ def main() -> int:
         lins = [(n, m) for n, m in model.named_modules() if isinstance(m, torch.nn.Linear)]
         selected = [(n, m) for n, m in lins if m.in_features >= MIN and m.out_features >= MIN]
         print(f"\n### {label}: {len(lins)} Linear, {len(selected)} pass min_features={MIN}")
-        # Heuristic: a modulation/embedder Linear is one OUTSIDE the repeated transformer blocks,
-        # i.e. its fqn does not contain a numeric block index, OR out==k*in (k>=3) AdaLN shape.
+        # A modulation/embedder Linear sits outside the repeated blocks (no numeric index in its fqn),
+        # or has an AdaLN out==k*in (k>=3) shape.
         sus = []
         for n, m in selected:
             depth_idx = any(p.isdigit() for p in n.split("."))