Nodes/ComfyUI-GRAG-ArchAi3D/🎚️ GRAG Unified Controller v3.0
ComfyUI Node

🎚️ GRAG Unified Controller v3.0

A ComfyUI node in GRAG/v3.0 with 26 inputs and 1 output.

By amir84ferdosΒ·Created 9 months agoΒ·Updated 9 months agoΒ· 18
🎚️ GRAG Unified Controller v3.0
  • conditioning
  • conditioning
β—„enable_gragfalseβ–Ί
β—„control_modesimpleβ–Ί
β—„presetCustomβ–Ί
β—„lambda_global1.00β–Ί
β—„delta_global1.05β–Ί
β—„per_layer_enabledfalseβ–Ί
β—„layer_strategystructure_preservingβ–Ί
β—„lambda_start0.90β–Ί
β—„lambda_end1.30β–Ί
β—„delta_start0.90β–Ί
β—„delta_end1.30β–Ί
β—„total_layers60β–Ί
β—„adaptive_enabledfalseβ–Ί
β—„adaptive_schedulesmooth_transitionβ–Ί
β—„multiplier_start0.80β–Ί
β—„multiplier_end1.50β–Ί
β—„multi_resolution_enabledfalseβ–Ί
β—„tier_presetv221_visibleβ–Ί
β—„tier1_resolution512β–Ί
β—„tier1_lambda1.00β–Ί
β—„tier1_delta1.00β–Ί
β—„tier2_resolution4096β–Ί
β—„tier2_lambda1.30β–Ί
β—„tier2_delta1.30β–Ί
β—„strength_multiplier1.00β–Ί
CategoryGRAG/v3.0

Inputs (26)

NameTypeDefaultDescription
conditioningCONDITIONINGConditioning from any encoder (Qwen, Flux, SD3, etc.)
enable_gragBOOLEANfalseEnable GRAG attention guidance (passthrough if disabled)
control_modeCOMBOsimpleSimple: Presets only | Advanced: Per-layer | Expert: Adaptive + Multi-res
presetCOMBOCustomChoose preset or 'Custom' for manual control (54 presets available)
lambda_globalFLOAT1.000.1–2Lambda (bias strength) - 1.0=neutral, >1=enhance, <1=reduce
delta_globalFLOAT1.050.1–2Delta (deviation intensity) - 1.0=neutral, >1=amplify, <1=suppress
per_layer_enabledBOOLEANfalseEnable per-layer control (different Ξ»/Ξ΄ per transformer block)
layer_strategyCOMBOstructure_preservingPer-layer distribution strategy
lambda_startFLOAT0.900.1–2Starting Ξ» for early layers
lambda_endFLOAT1.300.1–2Ending Ξ» for late layers
delta_startFLOAT0.900.1–2Starting Ξ΄ for early layers
delta_endFLOAT1.300.1–2Ending Ξ΄ for late layers
total_layersINT601–100Total transformer layers in model (Qwen: 60)
adaptive_enabledBOOLEANfalseEnable adaptive timestep scheduling (vary strength during denoising)
adaptive_scheduleCOMBOsmooth_transitionTimestep-dependent schedule type
multiplier_startFLOAT0.800.1–2Starting multiplier (early denoising steps)
multiplier_endFLOAT1.500.1–2Ending multiplier (late denoising steps)
multi_resolution_enabledBOOLEANfalseEnable multi-resolution tiers (paper's 2-tier system)
tier_presetCOMBOv221_visibleMulti-resolution tier preset
tier1_resolutionINT512256–2048Tier 1 resolution (coarse structure)
tier1_lambdaFLOAT1.000.1–2Tier 1 Ξ» (typically 1.0 for stability)
tier1_deltaFLOAT1.000.1–2Tier 1 Ξ΄ (typically 1.0 for stability)
tier2_resolutionINT40961024–8192Tier 2 resolution (fine details)
tier2_lambdaFLOAT1.300.1–2Tier 2 Ξ» (custom editing strength)
tier2_deltaFLOAT1.300.1–2Tier 2 Ξ΄ (custom editing strength)
strength_multiplierFLOAT1.000–2Overall GRAG intensity multiplier (stored, not currently applied)

Outputs (1)

NameTypeDescription
conditioningCONDITIONINGβ€”