Image Upscale With Model Batched
KJNodes/image
ImageUpscaleWithModelBatchedSame as ComfyUI native model upscaling node, but allows setting sub-batches for reduced VRAM usage.
Example
JSON Example
{
"class_type": "ImageUpscaleWithModelBatched",
"inputs": {
"upscale_model": [
"node_id",
0
],
"images": [
"node_id",
0
],
"per_batch": 16
}
}This example shows required inputs only. Connection values like ["node_id", 0] should reference actual node IDs from your workflow.
Inputs
| Name | Type | Status | Constraints | Default |
|---|---|---|---|---|
upscale_model | UPSCALE_MODEL | required | - | - |
images | IMAGE | required | - | - |
per_batch | INT | required | min: 1, max: 4096, step: 1 | 16 |
Outputs
| Index | Name | Type | Is List | Connection Reference |
|---|---|---|---|---|
0 | IMAGE | IMAGE | No | ["{node_id}", 0] |
How to connect to these outputs
To connect another node's input to an output from this node, use the connection reference format:
["node_id", output_index]Where node_id is the ID of this ImageUpscaleWithModelBatched node in your workflow, and output_index is the index from the table above.
Example
If this node has ID "5" in your workflow:
IMAGE (IMAGE):["5", 0]
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