GITSScheduler Func Provider¶
Documentation¶
- Class name:
GITSSchedulerFuncProvider
- Category:
ImpactPack/sampling
- Output node:
False
Provides a functionality to dynamically generate a noise schedule for image generation processes using the GITSScheduler. This node is designed to adjust the noise schedule based on given coefficients and denoise parameters, offering a flexible approach to controlling the diffusion process.
Input types¶
Required¶
coeff
- Specifies the coefficient factor for the GITSScheduler, influencing the overall noise schedule generation by adjusting the intensity of the applied noise.
- Comfy dtype:
FLOAT
- Python dtype:
float
denoise
- Determines the amount of denoising to apply in the noise schedule, affecting the clarity and detail of the generated images.
- Comfy dtype:
FLOAT
- Python dtype:
float
Output types¶
scheduler_func
- Comfy dtype:
SCHEDULER_FUNC
- Returns a function capable of generating a dynamic noise schedule for use in image generation processes, tailored by the specified coefficients and denoise parameters.
- Python dtype:
Callable
- Comfy dtype:
Usage tips¶
- Infra type:
CPU
- Common nodes: unknown
Source code¶
class GITSSchedulerFuncProvider:
@classmethod
def INPUT_TYPES(s):
return {"required": {
"coeff": ("FLOAT", {"default": 1.20, "min": 0.80, "max": 1.50, "step": 0.05}),
"denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}),
}
}
TOOLTIPS = {
"input": {
"coeff": "coeff factor of GITS Scheduler",
"denoise": "denoise amount for noise schedule",
},
"output": ("Returns a function that generates a noise schedule using GITSScheduler. This can be used in place of a predetermined noise schedule to dynamically generate a noise schedule based on the steps.",)
}
RETURN_TYPES = ("SCHEDULER_FUNC",)
CATEGORY = "ImpactPack/sampling"
FUNCTION = "doit"
def doit(self, coeff, denoise):
def f(model, sampler, steps):
if 'GITSScheduler' not in nodes.NODE_CLASS_MAPPINGS:
raise Exception("[Impact Pack] ComfyUI is an outdated version. Cannot use GITSScheduler.")
scheduler = nodes.NODE_CLASS_MAPPINGS['GITSScheduler']()
return scheduler.get_sigmas(coeff, steps, denoise)[0]
return (f, )