MXFP8: drop the claim that a forced compute dtype costs the speed (measured: same step times)

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Tw9fjWwkXVabCNSQ53xaW1
2026-10-29 11:21:09 +00:00
parent f854f64c28
commit e439214b76
1 changed files with 0 additions and 2 deletions
@@ -260,8 +260,6 @@ class FunUIDiffusionModelLoader(io.ComfyNode):
            else:
                _, note = mxfp8_module.quantize_state_dict(state_dict, comfy.model_management.get_torch_device())
                notes.append(note)
-                if compute_dtype != "default":
-                    notes.append("mxfp8: compute dtype is forced, so the matmuls run in that dtype -- memory is saved, speed is not")
            for line in notes[mark:]:                   # the status output is rarely read; the log is
                log.info("FunUI Diffusion Model Loader", line)
        # Read before the load: comfy may consume the dict.