ComfyUI Node
HT Detection Batch Processor
A ComfyUI node in image/upscaling with 39 inputs and 3 outputs.
HT Detection Batch Processor
- image
- model
- positive
- negative
- vae
- upscale_model
- detection_model
- segs
- detection_upscale_model
- upscaled_image
- cropped_batch
- scale_info
◄console_labelDetection Batch Processing►
◄seed0►
◄steps20►
◄cfg8.00►
◄sampler_name▾►
◄scheduler▾►
◄denoise0.20►
◄mode_type▾►
◄tile_width512►
◄tile_height512►
◄mask_blur8►
◄tile_padding32►
◄seam_fix_mode▾►
◄seam_fix_denoise1.00►
◄seam_fix_width64►
◄seam_fix_mask_blur8►
◄seam_fix_padding16►
◄detection_threshold0.50►
◄detection_dilation4►
◄crop_factor3.0►
◄drop_size10►
◄scale_modemax►
◄short_edge_divDIV_BY_8►
◄mask_dilation1.00►
◄use_bucketstrue►
◄force_uniform_tilestrue►
◄tiled_decodefalse►
◄bucket_scale_factor1.0►
◄use_provided_segsfalse►
◄segs_upscale_separatelytrue►
Categoryimage/upscaling
Inputs (39)
| Name | Type | Default | Description |
|---|---|---|---|
| console_label | STRING | Detection Batch Processing | — |
| image | IMAGE | — | |
| model | MODEL | — | |
| positive | CONDITIONING | — | |
| negative | CONDITIONING | — | |
| vae | VAE | — | |
| seed | INT | 00–18446744073709550000 | — |
| steps | INT | 201–10000 | — |
| cfg | FLOAT | 8.000–100 | — |
| sampler_name | COMBO | 44 options: euler, euler_cfg_pp, euler_ancestral, euler_ancestral_cfg_pp, heun, heunpp2, +38 | |
| scheduler | COMBO | 9 options: simple, sgm_uniform, karras, exponential, ddim_uniform, beta, +3 | |
| denoise | FLOAT | 0.200–1 | — |
| upscale_model | UPSCALE_MODEL | — | |
| mode_type | COMBO | 3 options: Linear, Chess, None | |
| tile_width | INT | 51264–8192 | — |
| tile_height | INT | 51264–8192 | — |
| mask_blur | INT | 80–64 | — |
| tile_padding | INT | 320–8192 | — |
| seam_fix_mode | COMBO | 4 options: None, Band Pass, Half Tile, Half Tile + Intersections | |
| seam_fix_denoise | FLOAT | 1.000–1 | — |
| seam_fix_width | INT | 640–8192 | — |
| seam_fix_mask_blur | INT | 80–64 | — |
| seam_fix_padding | INT | 160–8192 | — |
| detection_model | BBOX_DETECTOR | — | |
| detection_threshold | FLOAT | 0.500–1 | — |
| detection_dilation | INT | 4-512–512 | — |
| crop_factor | FLOAT | 3.01–100 | — |
| drop_size | INT | 101–8192 | — |
| scale_mode | COMBO | max | 4 options: max, up, down, closest |
| short_edge_div | COMBO | DIV_BY_8 | 2 options: DIV_BY_8, DIV_BY_64 |
| mask_dilation | FLOAT | 1.001–2 | — |
| use_buckets | BOOLEAN | true | — |
| force_uniform_tiles | BOOLEAN | true | — |
| tiled_decode | BOOLEAN | false | — |
| bucket_scale_factor | FLOAT | 1.00.1–4 | — |
| segsopt | SEGS | — | |
| use_provided_segsopt | BOOLEAN | false | — |
| segs_upscale_separatelyopt | BOOLEAN | true | — |
| detection_upscale_modelopt | UPSCALE_MODEL | — |
Outputs (3)
| Name | Type | Description |
|---|---|---|
| upscaled_image | IMAGE | — |
| cropped_batch | IMAGE | — |
| scale_info | STRING | — |