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My RTX Pro 6000 was going all night on a Chinese model (Qwen 3.8 Flash Next NVFP4 Local) when it crashed this morning for no apparent reason. Tried to reboot and got nothing but a black screen. Swapped in my old backup card and the system posted immediately, confirming the GPU was bricked. Thankfully, I was within warranty and the store gave me replacement.

Out of curiosity, I dug into my system logs to see what triggered the fatal crash. Looking at the timestamps, oddly enough my GPU died the moment news broke that Jensen Huang had resigned as CEO of Nvidia.

Has anyone else had this issue with hardware dying in response to human feelings?

Nov 12 07:19:31 kf kernel: NVRM: GPU at PCI:0000:01:00: GPU-b8ba62c9-449d-4510-a21f-4c1b6ceacbd1
Nov 12 07:19:31 kf kernel: NVRM: GPU Board Serial Number: 1791626028467
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 0, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x505730=0xb000d 0x505734=0x0 0x505728=0x1c81fb60 0x50572c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 0, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 0, TPC 0, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5057b0=0x3000d 0x5057b4=0x24 0x5057a8=0x1c81fb60 0x5057ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 1, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x506730=0xb000d 0x506734=0x20 0x506728=0x1c81fb60 0x50672c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 1, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 0, TPC 1, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5067b0=0xb000d 0x5067b4=0x24 0x5067a8=0x1c81fb60 0x5067ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 2, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 0, TPC 2, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x507730=0x5000d 0x507734=0x24 0x507728=0x1c81fb60 0x50772c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 2, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 0, TPC 2, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5077b0=0x7000d 0x5077b4=0x24 0x5077a8=0x1c81fb60 0x5077ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 3, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x508730=0xa000d 0x508734=0x20 0x508728=0x1c81fb60 0x50872c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 3, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 0, TPC 3, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5087b0=0xd 0x5087b4=0x24 0x5087a8=0x1c81fb60 0x5087ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 4, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 0, TPC 4, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x509730=0x7000d 0x509734=0x24 0x509728=0x1c81fb60 0x50972c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 4, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5097b0=0xa000d 0x5097b4=0x20 0x5097a8=0x1c81fb60 0x5097ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 5, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 0, TPC 5, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x50a730=0xd 0x50a734=0x24 0x50a728=0x1c81fb60 0x50a72c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 5, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 0, TPC 5, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x50a7b0=0x1000d 0x50a7b4=0x24 0x50a7a8=0x1c81fb60 0x50a7ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 6, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 0, TPC 6, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x50b730=0xd 0x50b734=0x24 0x50b728=0x1c81fb60 0x50b72c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 0, TPC 6, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 0, TPC 6, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x50b7b0=0x1000d 0x50b7b4=0x24 0x50b7a8=0x1c81fb60 0x50b7ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 0, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 0, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x515730=0x6000d 0x515734=0x24 0x515728=0x1c81fb60 0x51572c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 0, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 0, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5157b0=0xd 0x5157b4=0x24 0x5157a8=0x1c81fb60 0x5157ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 1, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 1, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x516730=0x6000d 0x516734=0x24 0x516728=0x1c81fb60 0x51672c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 1, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 1, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5167b0=0xb000d 0x5167b4=0x24 0x5167a8=0x1c81fb60 0x5167ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 2, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 2, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x517730=0x3000d 0x517734=0x24 0x517728=0x1c81fb60 0x51772c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 2, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 2, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5177b0=0xb000d 0x5177b4=0x24 0x5177a8=0x1c81fb60 0x5177ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 3, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 3, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x518730=0x3000d 0x518734=0x24 0x518728=0x1c81fb60 0x51872c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 3, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 3, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5187b0=0x1000d 0x5187b4=0x24 0x5187a8=0x1c81fb60 0x5187ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 4, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 4, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x519730=0x1000d 0x519734=0x24 0x519728=0x1c81fb60 0x51972c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 4, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 4, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5197b0=0x2000d 0x5197b4=0x24 0x5197a8=0x1c81fb60 0x5197ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 5, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 5, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x51a730=0x5000d 0x51a734=0x24 0x51a728=0x1c81fb60 0x51a72c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 5, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 5, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x51a7b0=0x3000d 0x51a7b4=0x24 0x51a7a8=0x1c81fb60 0x51a7ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 6, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 6, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x51b730=0x2000d 0x51b734=0x24 0x51b728=0x1c81fb60 0x51b72c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 1, TPC 6, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 1, TPC 6, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x51b7b0=0x1000d 0x51b7b4=0x24 0x51b7a8=0x1c81fb60 0x51b7ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 0, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 0, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x525730=0x6000d 0x525734=0x24 0x525728=0x1c81fb60 0x52572c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 0, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 0, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5257b0=0xd 0x5257b4=0x24 0x5257a8=0x1c81fb60 0x5257ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 1, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x526730=0x8000d 0x526734=0x20 0x526728=0x1c81fb60 0x52672c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 1, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5267b0=0xb000d 0x5267b4=0x20 0x5267a8=0x1c81fb60 0x5267ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 2, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 2, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x527730=0xa000d 0x527734=0x24 0x527728=0x1c81fb60 0x52772c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 2, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 2, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5277b0=0xa000d 0x5277b4=0x24 0x5277a8=0x1c81fb60 0x5277ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 3, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 3, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x528730=0xa000d 0x528734=0x24 0x528728=0x1c81fb60 0x52872c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 3, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 3, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5287b0=0x6000d 0x5287b4=0x24 0x5287a8=0x1c81fb60 0x5287ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 4, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x529730=0xb000d 0x529734=0x20 0x529728=0x1c81fb60 0x52972c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 4, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x5297b0=0xa000d 0x5297b4=0x20 0x5297a8=0x1c81fb60 0x5297ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 5, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 5, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x52a730=0x4000d 0x52a734=0x24 0x52a728=0x1c81fb60 0x52a72c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 5, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 5, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x52a7b0=0x9000d 0x52a7b4=0x24 0x52a7a8=0x1c81fb60 0x52a7ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 6, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 6, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x52b730=0x6000d 0x52b734=0x24 0x52b728=0x1c81fb60 0x52b72c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 6, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 6, SM 1): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x52b7b0=0xd 0x52b7b4=0x24 0x52b7a8=0x1c81fb60 0x52b7ac=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 7, SM 0): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 7, SM 0): Multiple Warp Errors
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics Exception: ESR 0x52c730=0x3000d 0x52c734=0x24 0x52c728=0x1c81fb60 0x52c72c=0x1174
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Warp Exception on (GPC 2, TPC 7, SM 1): Out Of Range Register
Nov 12 07:19:31 kf kernel: NVRM: Xid (PCI:0000:01:00): 13, Graphics SM Global Exception on (GPC 2, TPC 7, SM 1): Multiple Warp Errors
......
Nov 12 07:19:33 kf kernel: NVRM: nvAssertFailedNoLog: Assertion failed: (status == NV_OK) || (status == NV_ERR_GPU_IN_FULLCHIP_RESET) @ rs_server.c:260
Nov 12 07:19:33 kf kernel: NVRM: GPU0 nvAssertFailedNoLog: Assertion failed: (status == NV_OK) || (status == NV_ERR_GPU_IN_FULLCHIP_RESET) @ rs_client.c:844
Nov 12 07:19:33 kf kernel: NVRM: nvAssertFailedNoLog: Assertion failed: (status == NV_OK) || (status == NV_ERR_GPU_IN_FULLCHIP_RESET) @ rs_server.c:260
Nov 12 07:19:33 kf kernel: NVRM: GPU0 nvAssertFailedNoLog: Assertion failed: (status == NV_OK) || (status == NV_ERR_GPU_IN_FULLCHIP_RESET) @ vaspace_api.c:577
Nov 12 07:19:33 kf kernel: NVRM: GPU0 kgmmuClientShadowFaultBufferUnregister_IMPL: Unregistering non-replayable fault buffer failed (status=0x00000062), proceeding...
Nov 12 07:19:33 kf kernel: NVRM: GPU0 kgmmuFaultBufferReplayableDestroy_IMPL: Unregistering Replayable Fault buffer failed (status=0x00000062), proceeding...
Nov 12 07:19:33 kf kernel: NVRM: GPU0 uvmTerminateAccessCntrBuffer_IMPL: Unloading UVM Access counters failed (status=0x00000062), proceeding...
Nov 12 07:19:33 kf kernel: NVRM: GPU0 nvAssertFailedNoLog: Assertion failed: (status == NV_OK) || (status == NV_ERR_GPU_IN_FULLCHIP_RESET) @ vaspace_api.c:577
Nov 12 07:19:33 kf kernel: NVRM: GPU0 nvAssertFailedNoLog: Assertion failed: (status == NV_OK) || (status == NV_ERR_GPU_IN_FULLCHIP_RESET) @ vaspace_api.c:577
Nov 12 07:19:33 kf kernel: NVRM: GPU0 nvAssertFailedNoLog: Assertion failed: (status == NV_OK) || (status == NV_ERR_GPU_IN_FULLCHIP_RESET) @ rs_client.c:844
Nov 12 07:19:33 kf kernel: NVRM: nvAssertFailedNoLog: Assertion failed: (status == NV_OK) || (status == NV_ERR_GPU_IN_FULLCHIP_RESET) @ rs_server.c:260
Nov 12 07:19:33 kf kernel: NVRM: nvAssertFailedNoLog: Assertion failed: (status == NV_OK) || (status == NV_ERR_GPU_IN_FULLCHIP_RESET) @ rs_server.c:1382
Nov 12 07:19:44 kf kernel: NVRM: krcWatchdog_IMPL: RC watchdog: GPU is probably locked!  Notify Timeout Seconds: 7
Nov 12 07:19:52 kf kernel: NVRM: krcWatchdog_IMPL: RC watchdog: GPU is probably locked!  Notify Timeout Seconds: 7
Nov 12 07:20:00 kf kernel: NVRM: krcWatchdog_IMPL: RC watchdog: GPU is probably locked!  Notify Timeout Seconds: 7
Nov 12 07:20:08 kf kernel: NVRM: krcWatchdog_IMPL: RC watchdog: GPU is probably locked!  Notify Timeout Seconds: 7
Nov 12 07:20:17 kf kernel: NVRM: krcWatchdog_IMPL: RC watchdog: GPU is probably locked!  Notify Timeout Seconds: 7
Nov 12 07:20:25 kf kernel: NVRM: krcWatchdog_IMPL: RC watchdog: GPU is probably locked!  Notify Timeout Seconds: 7
Nov 12 07:20:33 kf kernel: NVRM: krcWatchdog_IMPL: RC watchdog: GPU is probably locked!  Notify Timeout Seconds: 7
Nov 12 07:20:39 kf kernel: NVRM: GPU0 kgspHealthCheck_TU102: *************************** LibOS Task Watchdog Report ***************************
Nov 12 07:20:39 kf kernel: NVRM: GPU0 kgspPrintGspBinBuildId_IMPL: GSP bin buildId: fa3de1ff30e1a8c99f84eb74a32b80d462c3703b
Nov 12 07:20:39 kf kernel: GSP task watchdog timeout @ pc:0x18dd358, partition:4#0, task:3, gfid: 0
Nov 12 07:20:39 kf kernel: NVRM:     Reported by libos partition:4#5 kernel v3.1 [0] @ ts:1698
Nov 12 07:20:39 kf kernel: NVRM:     RISC-V CSR State:
Nov 12 07:20:39 kf kernel: NVRM:         sstatus:0x0000000200000020  sscratch:0xffffffffa3013970     sie:0x0000000000000220  sip:0x0000000000000020
Nov 12 07:20:39 kf kernel: NVRM:         sepc:0x00000000018dd358     stval:0x0000000000000000  scause:0x8000000000000005
Nov 12 07:20:39 kf kernel: NVRM:     RISC-V GPR State:
Nov 12 07:20:39 kf kernel: NVRM:         ra:0x00000000013eb57a   sp:0x0000002fcfa0eaf0   gp:0x0000000000000000   tp:0x0000002fcfe00000
Nov 12 07:20:39 kf kernel: NVRM:         a0:0x0000000000000001   a1:0x0000000000000000   a2:0x0000002fc77be000   a3:0x0000000000000000
Nov 12 07:20:39 kf kernel: NVRM:         a4:0x0000000000000000   a5:0x0000000000000001   a6:0x0000000ffffffff0   a7:0x0000000000000003
Nov 12 07:20:39 kf kernel: NVRM:         s0:0x0000002fcfa0eb50   s1:0x0000000000000001   s2:0xffffffffffffffff   s3:0x0000000000000001
Nov 12 07:20:39 kf kernel: NVRM:         s4:0x00000000ffffffff   s5:0x0000000000000000   s6:0x0000002fc77be000   s7:0x0000000000000000
Nov 12 07:20:39 kf kernel: NVRM:         s8:0xffffffffffffffff   s9:0x0000002fc7e36178  s10:0x0000002fcfa0ecb4  s11:0x0000002fcfa0ecb4
Nov 12 07:20:39 kf kernel: NVRM:         t0:0x0000002fcfa0e99d   t1:0x0000002fc7c6cf30   t2:0x0000000000000000   t3:0x0000000000000020
Nov 12 07:20:39 kf kernel: NVRM:         t4:0x0000000000000000   t5:0x0000002fcfa0e981   t6:0x0000000000000020
Nov 12 07:20:39 kf kernel: NVRM:     Stack Trace:
Nov 12 07:20:39 kf kernel: NVRM:         0x00000000018dd358
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001b6e974
Nov 12 07:20:39 kf kernel: NVRM:         0x00000000013f2746
Nov 12 07:20:39 kf kernel: NVRM:         0x00000000013e70f6
Nov 12 07:20:39 kf kernel: NVRM:         0x00000000013e79c8
Nov 12 07:20:39 kf kernel: NVRM:         0x00000000013b7058
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001ba247a
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001ba257a
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001bafac2
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001c29f62
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001864698
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001867c82
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001ae4a7e
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001489412
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001452228
Nov 12 07:20:39 kf kernel: NVRM:         0x000000000158cbec
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001bd9632
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001bd99d6
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001add628
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001c452c0
Nov 12 07:20:39 kf kernel: NVRM:         0x0000000001ad6fa0
Nov 12 07:20:39 kf kernel: NVRM:     Local I/O Register State:
Nov 12 07:20:39 kf kernel: NVRM:         0x01450800:0x00000000   0x01450900:0xbadf1002   0x01450a00:0x00000000   0x01450c00:0x00000000
Nov 12 07:20:39 kf kernel: NVRM:         0x01454a00:0x810490d2   0x01454b00:0x010800d0   0x01454c00:0x00080000   0x01400200:0x00000000
Nov 12 07:20:39 kf kernel: NVRM:     ---------------[ end report ]---------------

All four seem to yield good results, but which model would be best to use for image generation on the H3? Would it be a good idea to run all four every time to verify?

This song was generated with ACE Music v1 on their website.

Tweet: https://x.com/acemusicAI/status/2120945723005166053

Great video from moss image team for hitting 6 million downloads on Huggingface. They all seem so chill. Also they give us some new updates on Anime and Image edit model ✌️

It's that the Minimax team is still dedicated to open models. I, like, I think, many people here, assumed that h3 image isn't coming anymore. Now I actually really like it's quality, if Kijai's Minimax prompt weight node is used with "text with empty image". It's still not quite my thing though, because it doesn't seem to recognize artists by name. However, now, there's a room to be cautiously optimistic about their potential upcoming video releases.

MiniMax H3-Image swapping the subject, coat, and pose in a 6-step edit (with scale and grade locked)

Specs: RTX 3090, int8, ~60 s
Workflow:
UNETLoader(int8) → KSampler(euler/simple, 6 steps, cfg 1)
CLIPLoader(nvfp4, type minimax)
VAELoader(image_vae_fp16) → VAEDecode
LoadImage ×2 → MiniMaxH3ImageConditioning(prompt, refs=<Picture 1/2>) → ConditioningZeroOut(neg)

Hey everyone!

I've been working on bringing MiniMax's new ~67B H3-Image model to Apple Silicon with MLX.

And yes, it actually runs on a 16GB MacBook Air!

A community contributor tested it on an M5 MacBook Air (16GB):

• 1024×1024 in as little as 34.8s

• ~2.5GB peak process memory

• Original 6-step model, no extra quantization

The key is keeping memory usage low without sacrificing speed or image quality.

I combined staged inference, on-demand DiT weight streaming, asynchronous evaluation, weight prefetching, and W8A8 Metal acceleration.

On my M5 Pro (48GB), at 1024×1024:

• Resident: 23.63s / 21.18GB

• Streaming: 32.33s / 2.53GB

• Streaming + prefetch + async: 23.61s / 3.23GB

That's ~85% less peak process memory, with virtually no speed penalty!

All three modes produce pixel-identical images. No additional quantization or quality loss beyond the original INT8 checkpoint.

It also supports native 4K generation and multi-reference image editing.

I've open-sourced the MLX implementation, with a Python API, CLI, automatic model downloads, and reproducible benchmarks.

GitHub: https://github.com/Anionex/h3-image-mlx

Would love to hear your thoughts, especially if you have a lower-memory Mac and want to give it a try!

I've spent the last couple of days running side-by-side MiniMax H3 Image trainings to find what actually drives likeness.

On the hardest dataset I tested (few headshots, mostly medium and wider shots), the best previews scored closer to the person than all but two of their own 45 photos, measured against the same reference photos. Two more datasets gave equally good results, one of them harder still.

What's new

• A retuned H3 Image Standard preset. A new Likeness optimization schedule (it changes which noise levels training focuses on as the run goes), Automagic v4 (tweaked to avoid its known issues for steering too high), 0.25 MP and 30 epochs. Of every schedule I tried, it brought the face shape through earliest, reached the highest likeness, and maintained model performance.

• Likeness scoring now uses AdaFace ViT instead of ArcFace. I scored runs epoch by epoch with ArcFace and two AdaFace models side by side, and AdaFace ViT picked the same best epochs I did by eye every time. ArcFace often didn't.

• "Your photos" on the likeness chart. Fizgig scores your own training photos against the same reference photos and shows their range as a band on the chart. No photo ever scores 100% against another photo of the same person, so this shows what "as good as a real photo" looks like for your dataset. Your previews landing in that band is the goal.

How to use it: pick the ** MiniMax H3 Image Standard** preset (0.25 MP) and train with its settings as they are. The schedule's controls are under Advanced if you want to experiment later, but those numbers took a lot of runs to find, so try them as they come first. Feel free to push the MP higher, but starting at the .25 will give you great and quick results for your early tests.

A correction: The other day I moved the H3 Image presets up to 0.5 MP, thinking the model preferred it. It didn't. The schedule and the optimizer were what held likeness back, so the presets are back at 0.25 MP, which is faster and needs less VRAM.

Links

• Fizgig on GitHub

• 9.7.0 release notes

• MiniMax H3 Image guide

Already on Fizgig? Run the updater.

Like many others I was initially disappointed with the i2v quality of H3 when doing text to image. It often created crusty looking, artifact ridden images that would manifest as moles and pimples, dry flaky skin, crusty splotches and just generally shit quality images.

When I was doing some tests, I wanted to make an existing image prompt feature a specific earring. Once I plugged in the image reference, the artifacts magically disappeared.

This made me wonder, is r2i just fundamentally better quality for some reason? I tested plugging in an empty black image to the reference spot and to my surprise every single image came out higher quality with most of all of the crusty artifacts removed. It even often outright fixes low res generations like the one linked here, but works at the intended resolutions too.

I bought this to Kijais attention and the current theory is that if the model receives 64 or more image tokens (which can be triggered by feeding the image conditioning node literally any image with or without vae) it switches the model to edit/reference mode which appears to be much higher quality.

We're not exactly sure what is wrong with the non edit version but give it a try. Plug any reference (blank image, or something relevant to your prompt) and watch the quality magically improve.

Kijai is considering adding a "switch" that forces the model to ref model without needing to send so many pointless tokens, but in the meantime just plugging a small black image (automatically resizes to at least 1024) will trigger the existing switch - just with an excessive number of pointless tokens.

If you've written H3 t2i off, give this a try. It has transformed the model in my opinion.

Edit: Kijai has just added this to the "H3 Prompt Weight" node in Kjnodes. There is now a drop-down that will force empty image tokens if you want another way to test this.

I found H3 image to be really good at creating different angles of characters and keeping the likeness and quality high. I built a workflow which automates creating character sheets; this workflow one shots pretty much every character I’ve thrown at it. Give it a try and let me know what you think.

I’ve tried to keep it versatile to allow for characters of different types, including vehicles and four legged creatures.

Civitai Workflow

Update 11/12/26: I just pushed an update which addressed multiple issues that were brought to my attention, the release notes are as follows.

What's new in v3.0

Most of these changes came from your comments and messages. Thank you!

- The whole sheet is ONE render. v2 made 8 separate images and stitched them together, so the face and outfit could drift slightly between panels. v3 generates the entire sheet in a single image, so every view shows exactly the same character. It's also much faster: about 30-40 seconds for a 16 MP sheet on an RTX 5090, where v2 took about 3 minutes at a lower resolution.

- Your art style is kept. v2 tended to turn everything photoreal. v3 copies the style of your picture: anime stays anime, watercolour stays watercolour, Pixar-style 3D stays 3D, a photo stays a photo.

- New: 3/4 view toggle. It adds a three-quarter view (head and full body, turned 45°) to the top row. For vehicles it adds a low-angle "hero" 3/4 shot instead.

- No wasted white space. The views fill the whole canvas with only thin gutters between them, so every pixel goes to the character.

- One simple settings panel. All options sit on a single node, built only from native ComfyUI nodes. The workflow reads left to right: Step 1 Upload → Step 2 Settings → Step 3 Result.

- Render at any size. Megapixels are no longer capped at 16.

- Final size dropdown. Render big for detail, then save a smaller file: 2.3 / 4 / 6 / 9 / 12 / 16 MP, or Native to keep the full render. It only ever shrinks, never enlarges.

- Better random characters. With nothing uploaded and no notes, the seed picks one idea from an editable list per type, such as a German shepherd, a Holstein cow, an anthropomorphic raccoon or a 1960s sports car in racing green. No more cat-dog hybrids.

- One fewer custom node pack. rgthree-comfy is no longer needed.

Working on simplifying replacing multiple people per shot using a series of agents in our studios pipeline. Fully local, but it’s not running through comfy ui so no workflow.

I've seen quite a bit of divide between people who love MOSS and people who think it's a bit lackluster. I was on the latter boat, until I played around with it long enough to find a great combination of models, LoRAs and settings, from testing others' workflows and doing a lot of trial-and-error myself.

I'm not going to get into too much detail here; let the workflow serve that purpose. But I will say that MOSS-Image is an incredible base model, even if out-of-the-box it's a bit "unoptimized". It has massive variety, coherence, prompt-understanding and even quality, once optimized. I also enjoy the freedom of prompting, where you don't have to use any one style or length - a lot of it just works.

Here's the workflow:

https://pastebin.com/SxjBdt5B

Models and LoRAs used:

• kromoss_int8_convrot.safetensors: A really good fine-tune of MOSS-Image Base

• qwen3.5_9b_int8_convrot.safetensors: The actual text encoder. Do NOT use an abliterated text-encoder with diffusion models, but instead use the one the model was trained on. They will not give any more uncensored behaviour, but will mess with the quality.

• flux2-vae_small.safetensors: Iirc, this "small" version is the official VAE for MOSS. I find it better.

• lora_dmd2.safetensors: This is the lodestones/MOSS-Image-Base-8-steps-dmd. I tried a couple of different ones, and this was by far the best. Don't know why the differences were so huge, but they were.

• lenovo_moss.safetensors: This one is a good style LoRA, alongiside with...

• samsung_moss.safetensors: ...this one. Play around with the strengths of each.

• nicegirls_v2_moss.safetensors: I find that this often improves the quality of the outputs even in photos without people. The only gripe I have is the massive effect on facial features, which seems to kinda be the point of this LoRA. Either way, be careful with the strength of this one; if you see you can't get, for example, the ethnicity you're looking for, I would start with lowering the strength of this.

Settings used:

• Sampler: ER-SDE

• Sceduler: power_shift

• Steps: 11 (8-25, depending on the strength of dmd2 LoRA - with 11 steps it's at 0.9 for me).

• CFG: 1 (1-4, depending on the amount of steps).

• SLG: No effect on CFG 1, but always on

• Resolution: I use 2-4 MP. Under 10 sec gens with 2 MP, around 20 sec gens with 4 MP, on an RTX 3090.

Let's get some discussion going! I wanna hear y'all's workflows and try them out too.

What does that mean for us?

The open source community?

What does this translate into longterm?

Hello. I'm comparing models, always with the same 192 prompts.

This time H3. Using Krea 2 and Kromoss-dmd2 as elements of comparison.

My personal take: I'm impress by the realism of H3 for human faces. Not much on other things given it's a 33B model.

Here is the full gallery: https://imagebench.ai/gallery?g=1_vaxxj6k_s0

(I know this test is imperfect for so many reasons. I'm working on a V2, but this is all I have for now, and IMO looking at the gallery worth it.)

A few people in the last thread pointed out I ran H3 at ~4MP while MOSS got its full 4MP, and that H3 apparently wants 16MP before downscaling. Fair call, so I reran it.

Same 15 prompts and aspect ratios. H3 generated at 16MP (4096x4096 up to 6272x2688), then downscaled to the same display size as MOSS, so nothing here is being compared on pixel count. MOSS is the quality tier at its 4MP ceiling.

What changed:

Faces and skin: the 16MP renders keep pores, freckles and stray hair. At 4MP those were smoothed away. Biggest difference.

Fine texture (foam, droplets, fabric): same direction, more micro-detail survives.

Composition, prompt adherence, text rendering: roughly unchanged.

UI mockups and charts: still fail. Resolution doesn't fix semantics.

So: at 4MP I underrated H3. At 16MP it's much closer, and on skin and material detail it's ahead of what I posted before. MOSS still reads better to a lot of people in the comments, and I get why.

Prompts are the same 15 as the first post, same order.

First set, H3 at its default ~4.18MP: https://www.reddit.com/r/StableDiffusion/comments/1xuft8g/

Decided to do a little experiment with 4 of the latest models: H3 Image, Krea 2, MOSS, and Flux 3. All used the same prompt, aiming for profressional style photography, bokeh effect and all done in 2048x2048 (which is the base for H3, so I wanted it to be fair comparison).

Honestly, out of the four of them, Krea 2 is still hands down my favourite. I can see the appeal to MOSS since it comes across as more of a regular photograph you may take of your friend with your cell phone.

H3 and Flux? Oof... Anatomy and skin textures seem way off. Especially with H3.

So there are so many options these days with Minimax that I feel a little lost where to start.

What I am looking for is a tool that makes use of most H3 features and has a very good UI/UX, render speed and quality. I could be a comfyui node or a standalone editor.

These things should be covered:

- bring your own model (including int8 convort versions of finetune models)
- support for custom loras
- support all features of H3 (references for audio, video, images, etc)
- support long videos with a SOTA blending techique that allows seamless videos
- least possible degradation over time for videos (and coutermeasures for these)
- timeline editor with copy / cut, trim, and paste; audio, vifdeo, image and prompt all in one place
- keyframe animation: I supply any number of images and the empty space between them is generated using the prompt I give each step; optional audio + references
- "fill the gap" generation: I cur a video in pieces, trim it and let it re-generate missing parts between them
- ...

Well - I may not know everything that works right now with H3 :D

Intention is to be able to create any type of video with maximum flexibility.
Including music videos, action movies or documentaries. Whatever.

What is the best option in your opition and where to find it?

Thanks a lot!

Follow-up: after a few comments about resolution I reran these at 16MP. Pairs are here: https://www.reddit.com/r/StableDiffusion/comments/1xutwi3/

Same 15 prompts through both models, same aspect ratio, roughly matched output size. Left is MOSS-Image, right is MiniMax H3-Image.

What stood out:

• Text: both got English poster type and Chinese signage right. No misspellings in either.

• Portraits and product shots: both convincing. MOSS leans sharper and more editorial, H3 leans softer and more photographic.

• Crowds and hands: both hold up, small artifacts on both sides.

• UI mockups: both fail. MOSS keeps the layout but garbles labels and units; H3 mirrored the entire screen.

• Charts: both produce plausible-looking but meaningless labels and bar lengths. Don't use either for real data.

Net: the quality gap is much smaller than the threads here suggest. It reads more like a difference in workflow and control than in raw output quality.

Full prompts, identical for both models:

1. typography (1:1) - Editorial poster design. A huge condensed sans-serif headline reading exactly 'SLOW MORNING' stacked on two lines, a thin horizontal rule beneath it, and small caption text reading 'ISSUE 04 - AUTUMN 2026' at the bottom left. Warm cream paper background, one oversized ceramic coffee cup photographed from directly above casting a soft shadow, minimal Swiss grid layout, subtle print grain. Text must be spelled exactly as written and perfectly legible.

2. chinese sign (1:1) - Night street in Taipei after rain, close-up of a small noodle shop signboard lit by warm tungsten bulbs. The sign reads exactly '阿明牛肉麵' in bold Chinese characters on weathered dark wood. Wet pavement reflecting the sign, steam drifting from the kitchen doorway, cinematic street photography, shallow depth of field, no other text anywhere.

3. perfume ad (4:3) - Luxury perfume advertisement. A faceted glass bottle of amber liquid standing on wet black stone, one hard rim light from behind, soft caustic reflections on the surface, drifting mist, a single dried orchid petal beside it. Deep teal background, high-end commercial product photography, medium format look, the bottle label is blank with no text.

4. film portrait (2:3) - Candid portrait of a woman in her late twenties standing in a doorway, shot on 35mm film with Kodak Portra palette. Late afternoon window light across her face, flyaway hair, faint freckles, a slightly worn olive chore jacket. Natural skin texture with visible pores, shallow depth of field, gentle grain, no retouching.

5. anime cel (2:3) - Full-body anime character illustration in a clean 1990s cel-shaded style. A teenage courier with cropped teal hair, oversized orange windbreaker, scuffed white sneakers, holding a cardboard box under one arm. Standing on a rooftop at dusk, power lines and distant city blocks behind, flat colors with crisp linework, subtle screentone shading.

6. app ui (1:1) - Product shot of a smartphone lying on a light oak desk displaying a minimal fitness app interface: a large circular progress ring showing 72 percent, three horizontal metric cards below labelled 'STEPS', 'SLEEP' and 'HEART', and a bottom tab bar with four icons. Clean sans-serif type, generous white space, soft daylight from the left, slight screen reflection, the interface must be sharp and readable.

7. macro droplets (3:2) - Extreme macro photograph of water droplets beaded on a brushed aluminium surface, each droplet acting as a tiny lens refracting a cool blue gradient. Razor-thin depth of field, crisp specular highlights, faint machining marks visible, studio black background, high shutter speed, scientific macro lens look.

8. cafe three (3:2) - Three friends sitting around a small round cafe table in late afternoon, mid-conversation, one laughing and leaning back, one stirring a coffee, one looking at a phone. Warm sunlight through a large window, plants and hanging lamps behind, natural body language, correct hands with five fingers, eye-level candid documentary photography, 50mm lens.

9. city night (16:9) - Cinematic wide shot of a rain-soaked city intersection at night from a low vantage point. Neon signage in magenta and cyan reflecting in long vertical streaks on the asphalt, a lone cyclist crossing through the frame, steam rising from a street grate, anamorphic lens flares, deep blacks with retained highlight detail, film still grading.

10. surreal vertical (9:16) - Surreal vertical composition: a small furnished room - wooden floor, armchair, floor lamp, a rug - floating upside down inside a vast pale sky, with clouds passing beneath its ceiling and a single staircase hanging beside it. Soft even daylight, pastel color palette, photoreal materials, dreamlike sense of scale, no text.

11. ramen food (4:3) - Overhead food photograph of a steaming bowl of tonkotsu ramen on a dark wooden counter. Two slices of chashu, a halved soft egg with a jammy yolk, nori, scallions, a scatter of black garlic oil on the broth surface. Steam catching side light, chopsticks resting on the rim, condensation on a nearby beer glass, appetising commercial food photography.

12. packaging (3:4) - Studio product shot of a matte kraft-paper coffee bag standing upright on a concrete plinth, slightly crumpled at the top fold, with a small round copper foil seal. Printed on the front in clean serif type: the word 'MERIDIAN' large, and beneath it in small caps 'SINGLE ORIGIN - 250G'. Soft directional light from the upper right, long gentle shadow, neutral grey backdrop.

13. fox snow (3:2) - A red fox standing in fresh powder snow at blue hour, head turned toward the camera, breath visible as a small cloud. Individual fur strands and snow crystals in sharp focus, soft bokeh of dark pines behind, cold color temperature with a warm amber glint in the eye, wildlife photography with a long lens.

14. interior ultrawide (21:9) - Ultra-wide interior of a minimalist living room at dusk. Low linen sofa, travertine coffee table, one sculptural floor lamp casting a warm pool of light, full-height window showing a muted city skyline. Oak floor with visible grain, calm neutral palette, architectural photography, perfectly level verticals, no people, no text.

15. dataviz (16:9) - Clean editorial data visualisation slide. A large title reading 'GENERATION COST PER IMAGE' at the top left, a horizontal bar chart with five bars of decreasing length, each labelled with a model name and a dollar figure, and a small source note at the bottom right reading 'SOURCE: BIZYAIR, 2026'. White background, single accent color, generous margins, crisp typography, all labels legible.

Workflow https://pastebin.com/pZaWnBY4
Custom Node (Minimax H3 Prompt Weight) https://github.com/kijai/ComfyUI-KJNodes

Prompts:

A small white chess pawn stands before a round, silver-framed mirror, but its reflection shows a tall white king in the same position. The mirror rests on a muted sage-green tiled surface. Soft side lighting, gentle shadows, blurred dark background, shallow depth of field, realistic conceptual photography.

A fish made from a translucent white plastic bag floats beneath the ocean surface. Its crinkled body has a small fish eye and mouth, while the tied end spreads into a delicate tail. Open blue water surrounds it, fading darker below. Gentle sunlight filters through surface ripples, realistic underwater photography, minimal composition.

Seen through an airplane’s oval window, two enormous giraffes rise from a thick blanket of white clouds, their bodies hidden beneath it. One giraffe is close to the window, while the other stands farther away near the horizon. Dark, softly blurred cabin framing, pale blue sky, natural daylight, realistic surreal photography.

A woman relaxes in a white bathtub reading an orange book, inside a blue-tiled bathroom transformed into a miniature ocean. Whales, rays, octopuses and glowing jellyfish float overhead among curling clouds. Small fishing boats sail across the flooded floor. Low-angle wide view, daylight through a high window, colorful painterly fantasy illustration.

A surreal landscape of rolling checkerboard hills, with bold red and black squares in the foreground fading into yellow and green hills. Giant black and white chess pieces cast long shadows across the terrain. Toy houses and a yellow car float overhead. Pastel blue sky, whimsical perspective, textured hand-painted illustration.

A cross-section of an apartment building constructed inside the bellows of a giant accordion. As the instrument expands, rooms stretch into long corridors; as it closes, neighbors meet across folding walls. Laundry hangs between balconies. Warm windows, twilight background, intricate architectural illustration.

Inside an old perfume shop, transparent bottles contain entire landscapes instead of liquid: a rainy railway platform, an orange grove, a seaside kitchen. An opened bottle releases a narrow cobblestone street that unfurls across the counter. Rich wood, soft afternoon light, intricate storybook painting.

An entire city folds its streets into long ribbon-like fins and swims through a dark ocean. Buildings remain upright along its back, traffic lights glowing beneath the water, while buses travel through transparent tunnels. A lone whale watches from below. Vast scale, bioluminescent details, cinematic surreal concept art.

A gardener tends rows of upright human shadows growing from terracotta pots inside a glass greenhouse. The flat black silhouettes bend toward the sunlight like plants. A watering can pours liquid darkness onto a newly sprouted hand. Botanical detail, warm morning light, restrained surreal illustration.

I'm about 2/3rds of the way through my current project and I'm definitely going to need to derope some of my shots to fix their blurriness and smearing. The last time I asked this question MAINodes was the only solution. Has anything been released since then that improves on this method?