SLA rising sparsity: note the first real H3 result

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0176SHndmQj7T1VtWAWZiNcq

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 ### Added (experimental)
 
-- **SLA rising sparsity** (diffusion model loader, `sla_sparsity_start`): skip fewer attention blocks on early steps and more on late ones, in a straight line up to `sla_sparsity`. Off at 0. Untested on H3. Idea from GSRS (arXiv 2610.21129); only the schedule is taken, not its other parts.
+- **SLA rising sparsity** (diffusion model loader, `sla_sparsity_start`): skip fewer attention blocks on early steps and more on late ones, in a straight line up to `sla_sparsity`. Off at 0. One real H3 render (4 steps, 0.70 to 0.90): quality held, perhaps slightly better. Idea from GSRS (arXiv 2610.21129); only the schedule is taken, not its other parts.
 
 ## [5.0.3] "Classy Chopper" - 2026-10-25
 

modules/loaders/diffusion_model/nodes.py

@@ -176,7 +176,7 @@ class FunUIDiffusionModelLoader(io.ComfyNode):
                               tooltip="Skip fewer blocks early and more late: the share rises in a straight "
                                       "line from this value on the first step to sla_sparsity on the last "
                                       "(attention concentrates as denoising goes, GSRS, arXiv 2610.21129). "
-                                      "0 is off: one fixed share all run. Untested on H3; a try is 0.70 "
+                                      "0 is off: one fixed share all run. One H3 render: quality held, perhaps a little better. Try 0.70 "
                                       "with sla_sparsity 0.90. Early steps cost more time than late ones."),
             ],
             outputs=[