1.6 KiB
1.6 KiB
tags
| tags | |
|---|---|
|
BasicGuider
Documentation
- Class name:
BasicGuider - Category:
sampling/custom_sampling/guiders - Output node:
False
Provides a mechanism to create a guider object with basic conditioning for custom sampling processes. It encapsulates the functionality to apply simple conditions to guide the sampling process.
Input types
Required
model- Specifies the model to be used for guiding the sampling process, serving as the foundation for the guider's operations.
- Comfy dtype:
MODEL - Python dtype:
comfy.samplers.CFGGuider or similar class
conditioning- Defines the conditions under which the sampling should occur, directly influencing the behavior and output of the guider.
- Comfy dtype:
CONDITIONING - Python dtype:
dict
Output types
guider- Comfy dtype:
GUIDER - The output is a guider object configured with the specified model and conditioning, ready to guide the sampling process.
- Python dtype:
Guider_Basic instance
- Comfy dtype:
Usage tips
- Infra type:
CPU - Common nodes: unknown
Source code
class BasicGuider:
@classmethod
def INPUT_TYPES(s):
return {"required":
{"model": ("MODEL",),
"conditioning": ("CONDITIONING", ),
}
}
RETURN_TYPES = ("GUIDER",)
FUNCTION = "get_guider"
CATEGORY = "sampling/custom_sampling/guiders"
def get_guider(self, model, conditioning):
guider = Guider_Basic(model)
guider.set_conds(conditioning)
return (guider,)