Iterative Upscale (Image)
ImpactPack/Upscale
IterativeImageUpscaleExample
JSON Example
{
"class_type": "IterativeImageUpscale",
"inputs": {
"pixels": [
"node_id",
0
],
"upscale_factor": 1.5,
"steps": 3,
"temp_prefix": "",
"upscaler": [
"node_id",
0
],
"vae": [
"node_id",
0
],
"step_mode": "simple",
"vae_compression": 8
}
}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 |
|---|---|---|---|---|
pixels | IMAGE | required | - | - |
upscale_factor | FLOAT | required | min: 1, max: 10000, step: 0.1 | 1.5 |
steps | INT | required | min: 1, max: 10000, step: 1 | 3 |
temp_prefix | STRING | required | - | "" |
upscaler | UPSCALER | required | - | - |
vae | VAE | required | - | - |
step_mode | ENUM2 options
| required | - | "simple" |
vae_compression | INT | required | min: 0, max: 256, step: 8 | 8 |
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 IterativeImageUpscale 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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