1.5 KiB
1.5 KiB
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Custom CFG 🎭🅐🅓
Documentation
- Class name:
ADE_CustomCFG - Category:
Animate Diff 🎭🅐🅓/sample settings - Output node:
False
This node is designed for creating custom configuration settings for animation diffusion processes, allowing users to specify multiple values for configuration settings that influence the generation process.
Input types
Required
cfg_multival- Specifies the multiple values for configuration settings, enabling fine-tuned control over the animation diffusion process.
- Comfy dtype:
MULTIVAL - Python dtype:
Union[float, torch.Tensor]
Output types
custom_cfg- Comfy dtype:
CUSTOM_CFG - Outputs a custom configuration group, encapsulating the specified configuration settings for use in animation diffusion.
- Python dtype:
CustomCFGKeyframeGroup
- Comfy dtype:
Usage tips
- Infra type:
CPU - Common nodes: unknown
Source code
class CustomCFGNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"cfg_multival": ("MULTIVAL",),
}
}
RETURN_TYPES = ("CUSTOM_CFG",)
CATEGORY = "Animate Diff 🎭🅐🅓/sample settings"
FUNCTION = "create_custom_cfg"
def create_custom_cfg(self, cfg_multival: Union[float, Tensor]):
keyframe = CustomCFGKeyframe(cfg_multival=cfg_multival)
cfg_custom = CustomCFGKeyframeGroup()
cfg_custom.add(keyframe)
return (cfg_custom,)