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ModelSamplingFlux
Category: advanced/model
Description
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub
The ModelSamplingFlux node applies Flux model sampling to a given model by calculating a shift parameter based on image dimensions. It creates a specialized sampling configuration that adjusts the model's behavior according to the specified width, height, and shift parameters, then returns the modified model with the new sampling settings applied.
Inputs
| Parameter | Type | Default | Description |
|---|---|---|---|
| max_shift | FLOAT | 1.15 | |
| base_shift | FLOAT | 0.5 | |
| width | INT | 1024 | |
| height | INT | 1024 |
Outputs
| Output | Type | Description |
|---|---|---|
| MODEL | MODEL |
Source: comfy_extras/nodes_model_advanced.py
Used in 1 template(s)