Nodes/CRT-Nodes/Flux LoRA Blocks Patcher (CRT)
ComfyUI Node

Flux LoRA Blocks Patcher (CRT)

A ComfyUI node in CRT/LoRA with 58 inputs and 1 output.

By PGCRT·Created 2 years ago·Updated 7 days ago· 129
Flux LoRA Blocks Patcher (CRT)
  • flux_model
  • patched_model
lora_block_0_weight1.00
lora_block_1_weight1.00
lora_block_2_weight1.00
lora_block_3_weight1.00
lora_block_4_weight1.00
lora_block_5_weight1.00
lora_block_6_weight1.00
lora_block_7_weight1.00
lora_block_8_weight1.00
lora_block_9_weight1.00
lora_block_10_weight1.00
lora_block_11_weight1.00
lora_block_12_weight1.00
lora_block_13_weight1.00
lora_block_14_weight1.00
lora_block_15_weight1.00
lora_block_16_weight1.00
lora_block_17_weight1.00
lora_block_18_weight1.00
lora_block_19_weight1.00
lora_block_20_weight1.00
lora_block_21_weight1.00
lora_block_22_weight1.00
lora_block_23_weight1.00
lora_block_24_weight1.00
lora_block_25_weight1.00
lora_block_26_weight1.00
lora_block_27_weight1.00
lora_block_28_weight1.00
lora_block_29_weight1.00
lora_block_30_weight1.00
lora_block_31_weight1.00
lora_block_32_weight1.00
lora_block_33_weight1.00
lora_block_34_weight1.00
lora_block_35_weight1.00
lora_block_36_weight1.00
lora_block_37_weight1.00
lora_block_0_double_weight1.00
lora_block_1_double_weight1.00
lora_block_2_double_weight1.00
lora_block_3_double_weight1.00
lora_block_4_double_weight1.00
lora_block_5_double_weight1.00
lora_block_6_double_weight1.00
lora_block_7_double_weight1.00
lora_block_8_double_weight1.00
lora_block_9_double_weight1.00
lora_block_10_double_weight1.00
lora_block_11_double_weight1.00
lora_block_12_double_weight1.00
lora_block_13_double_weight1.00
lora_block_14_double_weight1.00
lora_block_15_double_weight1.00
lora_block_16_double_weight1.00
lora_block_17_double_weight1.00
lora_block_18_double_weight1.00
CategoryCRT/LoRA

Inputs (58)

NameTypeDefaultDescription
flux_modelMODEL
lora_block_0_weightFLOAT1.000–2
lora_block_1_weightFLOAT1.000–2
lora_block_2_weightFLOAT1.000–2
lora_block_3_weightFLOAT1.000–2
lora_block_4_weightFLOAT1.000–2
lora_block_5_weightFLOAT1.000–2
lora_block_6_weightFLOAT1.000–2
lora_block_7_weightFLOAT1.000–2
lora_block_8_weightFLOAT1.000–2
lora_block_9_weightFLOAT1.000–2
lora_block_10_weightFLOAT1.000–2
lora_block_11_weightFLOAT1.000–2
lora_block_12_weightFLOAT1.000–2
lora_block_13_weightFLOAT1.000–2
lora_block_14_weightFLOAT1.000–2
lora_block_15_weightFLOAT1.000–2
lora_block_16_weightFLOAT1.000–2
lora_block_17_weightFLOAT1.000–2
lora_block_18_weightFLOAT1.000–2
lora_block_19_weightFLOAT1.000–2
lora_block_20_weightFLOAT1.000–2
lora_block_21_weightFLOAT1.000–2
lora_block_22_weightFLOAT1.000–2
lora_block_23_weightFLOAT1.000–2
lora_block_24_weightFLOAT1.000–2
lora_block_25_weightFLOAT1.000–2
lora_block_26_weightFLOAT1.000–2
lora_block_27_weightFLOAT1.000–2
lora_block_28_weightFLOAT1.000–2
lora_block_29_weightFLOAT1.000–2
lora_block_30_weightFLOAT1.000–2
lora_block_31_weightFLOAT1.000–2
lora_block_32_weightFLOAT1.000–2
lora_block_33_weightFLOAT1.000–2
lora_block_34_weightFLOAT1.000–2
lora_block_35_weightFLOAT1.000–2
lora_block_36_weightFLOAT1.000–2
lora_block_37_weightFLOAT1.000–2
lora_block_0_double_weightFLOAT1.000–2
lora_block_1_double_weightFLOAT1.000–2
lora_block_2_double_weightFLOAT1.000–2
lora_block_3_double_weightFLOAT1.000–2
lora_block_4_double_weightFLOAT1.000–2
lora_block_5_double_weightFLOAT1.000–2
lora_block_6_double_weightFLOAT1.000–2
lora_block_7_double_weightFLOAT1.000–2
lora_block_8_double_weightFLOAT1.000–2
lora_block_9_double_weightFLOAT1.000–2
lora_block_10_double_weightFLOAT1.000–2
lora_block_11_double_weightFLOAT1.000–2
lora_block_12_double_weightFLOAT1.000–2
lora_block_13_double_weightFLOAT1.000–2
lora_block_14_double_weightFLOAT1.000–2
lora_block_15_double_weightFLOAT1.000–2
lora_block_16_double_weightFLOAT1.000–2
lora_block_17_double_weightFLOAT1.000–2
lora_block_18_double_weightFLOAT1.000–2

Outputs (1)

NameTypeDescription
patched_modelMODEL