Nodes/ComfyUI-DonutNodes/Donut Detailer XL Blocks
ComfyUI Node

Donut Detailer XL Blocks

A ComfyUI node in Model Patches with 45 inputs and 1 output.

By DonutsDelivery·Created about a year ago·Updated a day ago· 22
Donut Detailer XL Blocks
  • model
  • MODEL
input_blocks_0_weight1.000
input_blocks_0_bias1.000
input_blocks_1_weight1.000
input_blocks_1_bias1.000
input_blocks_2_weight1.000
input_blocks_2_bias1.000
input_blocks_3_weight1.000
input_blocks_3_bias1.000
input_blocks_4_weight1.000
input_blocks_4_bias1.000
input_blocks_5_weight1.000
input_blocks_5_bias1.000
input_blocks_6_weight1.000
input_blocks_6_bias1.000
input_blocks_7_weight1.000
input_blocks_7_bias1.000
input_blocks_8_weight1.000
input_blocks_8_bias1.000
middle_block_0_weight1.000
middle_block_0_bias1.000
middle_block_1_weight1.000
middle_block_1_bias1.000
middle_block_2_weight1.000
middle_block_2_bias1.000
output_blocks_0_weight1.000
output_blocks_0_bias1.000
output_blocks_1_weight1.000
output_blocks_1_bias1.000
output_blocks_2_weight1.000
output_blocks_2_bias1.000
output_blocks_3_weight1.000
output_blocks_3_bias1.000
output_blocks_4_weight1.000
output_blocks_4_bias1.000
output_blocks_5_weight1.000
output_blocks_5_bias1.000
output_blocks_6_weight1.000
output_blocks_6_bias1.000
output_blocks_7_weight1.000
output_blocks_7_bias1.000
output_blocks_8_weight1.000
output_blocks_8_bias1.000
out_weight1.000
out_bias1.000
CategoryModel Patches

Inputs (45)

NameTypeDefaultDescription
modelMODEL
input_blocks_0_weightFLOAT1.000-10–10
input_blocks_0_biasFLOAT1.000-10–10
input_blocks_1_weightFLOAT1.000-10–10
input_blocks_1_biasFLOAT1.000-10–10
input_blocks_2_weightFLOAT1.000-10–10
input_blocks_2_biasFLOAT1.000-10–10
input_blocks_3_weightFLOAT1.000-10–10
input_blocks_3_biasFLOAT1.000-10–10
input_blocks_4_weightFLOAT1.000-10–10
input_blocks_4_biasFLOAT1.000-10–10
input_blocks_5_weightFLOAT1.000-10–10
input_blocks_5_biasFLOAT1.000-10–10
input_blocks_6_weightFLOAT1.000-10–10
input_blocks_6_biasFLOAT1.000-10–10
input_blocks_7_weightFLOAT1.000-10–10
input_blocks_7_biasFLOAT1.000-10–10
input_blocks_8_weightFLOAT1.000-10–10
input_blocks_8_biasFLOAT1.000-10–10
middle_block_0_weightFLOAT1.000-10–10
middle_block_0_biasFLOAT1.000-10–10
middle_block_1_weightFLOAT1.000-10–10
middle_block_1_biasFLOAT1.000-10–10
middle_block_2_weightFLOAT1.000-10–10
middle_block_2_biasFLOAT1.000-10–10
output_blocks_0_weightFLOAT1.000-10–10
output_blocks_0_biasFLOAT1.000-10–10
output_blocks_1_weightFLOAT1.000-10–10
output_blocks_1_biasFLOAT1.000-10–10
output_blocks_2_weightFLOAT1.000-10–10
output_blocks_2_biasFLOAT1.000-10–10
output_blocks_3_weightFLOAT1.000-10–10
output_blocks_3_biasFLOAT1.000-10–10
output_blocks_4_weightFLOAT1.000-10–10
output_blocks_4_biasFLOAT1.000-10–10
output_blocks_5_weightFLOAT1.000-10–10
output_blocks_5_biasFLOAT1.000-10–10
output_blocks_6_weightFLOAT1.000-10–10
output_blocks_6_biasFLOAT1.000-10–10
output_blocks_7_weightFLOAT1.000-10–10
output_blocks_7_biasFLOAT1.000-10–10
output_blocks_8_weightFLOAT1.000-10–10
output_blocks_8_biasFLOAT1.000-10–10
out_weightFLOAT1.000-10–10
out_biasFLOAT1.000-10–10

Outputs (1)

NameTypeDescription
MODELMODEL