Update minimax_h3_inpaint_blocks.py

minimax_h3_inpaint_blocks.py

@@ -6,10 +6,8 @@ model repaints, and everything the mask preserves is presented to the transforme
 clean content pinned at the visual-conditioning timestep `0.999`, rather than the source noised down to the step's own
 sigma.
 
-That distinction is the whole trick, and it is what ComfyUI's MiniMax-H3 masking does too (`scale_latent_inpaint`
-returns the anchor rather than the schedule's noise level, and the DiT relabels masked rows). MiniMax-H3 was trained
-with clean visual conditioning at `0.999` and has never seen a partially denoised target row claiming to be something
-else, so ordinary "re-noise the original to sigma_t" inpainting is off-distribution for it.
+That distinction is the whole trick. MiniMax-H3 was trained with clean visual conditioning at `0.999` and has never 
+seen a partially denoised target row claiming to be something else, so ordinary "re-noise the original to sigma_t" inpainting is off-distribution for it.
 
 Three things follow, and they are the three blocks below: