ComfyUI Node
AIHub Expose Image Batch
A ComfyUI node in aihub/expose with 10 inputs and 5 outputs.
AIHub Expose Image Batch
- normalizer
- IMAGE
- MASKS
- METADATA
- WIDTH
- HEIGHT
◄idexposed_image_batch►
◄labelImage Batch►
◄tooltip►
◄typeupload►
◄minlen0►
◄maxlen1000►
◄index0►
◄metadata_fields►
◄metadata_fields_label►
Categoryaihub/expose
Inputs (10)
| Name | Type | Default | Description |
|---|---|---|---|
| id | STRING | exposed_image_batch | A unique custom ID for this workflow. |
| label | STRING | Image Batch | This is the label that will appear in the field. |
| tooltip | STRING | An optional tooltip | |
| type | COMBO | upload | The source of the image batch |
| minlen | INT | 0 | — |
| maxlen | INT | 1000 | — |
| index | INT | 0 | This value is used for sorting the input fields when displaying; lower values will appear first. |
| metadata_fields | STRING | A newline separated list of metadata fields to include in the metadata JSON for each image in the batch, add a space with the type next to it, if not specified it will be considered integer, valid types are: INT, FLOAT, STRING and BOOLEAN. A second space and further allows for specifying modifiers, valid modifiers are SORTED, UNIQUE, NONZERO, MULTILINE. for BOOLEAN it is also possible to use ONE_TRUE and ONE_FALSE as modifiers. It is also possible to add numeric validity modifiers with a colon, for example MAX:100, MAXOFFSET:100, MAXLEN:100, MAXLEN:OFFSET, MIN:0, MINOFFSET:0, MINLEN:0 OR MINLENOFFSET:0 But also a property name provided that property exist in the project and is an expose integer or expose project integer for MAX, MAXLEN, MIN and MINLEN For example: 'frame_number INT SORTED MAX:total_frames prompt_at_frame STRING MULTILINE MAXLEN:100' | |
| metadata_fields_label | STRING | A newline separated list of labels for the metadata fields to include in the metadata JSON for each image in the batch. Must match the number of metadata fields. | |
| normalizeropt | AIHUB_NORMALIZER | The method to use for normalizing the images in the batch, if not specified it will use the image with the most megapixels as the target size with a nearest-exact upscaler |
Outputs (5)
| Name | Type | Description |
|---|---|---|
| IMAGE | IMAGE | — |
| MASKS | MASK | — |
| METADATA | AIHUB_METADATA | — |
| WIDTH | INT | — |
| HEIGHT | INT | — |