2.8 KiB
2.8 KiB
Load AnimateLCM-I2V Model 🎭🅐🅓②
Documentation
- Class name: ADE_LoadAnimateLCMI2VModel
- Category: Animate Diff 🎭🅐🅓/② Gen2 nodes ②/AnimateLCM-I2V
- Output node: False
- Repo Ref: https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved.git
ADE_LoadAnimateLCMI2VModel节点旨在加载和准备用于动画过程的AnimateLCM-I2V运动模型。它确保所选的运动模型与AnimateLCM-I2V格式兼容并具有图像编码器,从而促进将运动模型集成到动画工作流程中。
Input types
Required
- model_name
- 指定要加载的运动模型的名称,确保该模型可用且与AnimateLCM-I2V格式兼容。
- Comfy dtype: COMBO[STRING]
- Python dtype: str
Optional
- ad_settings
- Animate Diff过程的可选设置,可以应用于运动模型,允许自定义动画。
- Comfy dtype: AD_SETTINGS
- Python dtype: AnimateDiffSettings or None
Output types
- MOTION_MODEL
- Comfy dtype: MOTION_MODEL_ADE
- 已加载的运动模型,准备用于动画过程。
- Python dtype: MotionModelPatcher
- encoder_only
- Comfy dtype: MOTION_MODEL_ADE
- 仅包含编码器的运动模型版本,适用于特定的动画任务。
- Python dtype: MotionModelPatcher
Usage tips
- Infra type: CPU
- Common nodes: unknown
Source code
class LoadAnimateLCMI2VModelNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"model_name": (get_available_motion_models(),),
},
"optional": {
"ad_settings": ("AD_SETTINGS",),
}
}
RETURN_TYPES = ("MOTION_MODEL_ADE", "MOTION_MODEL_ADE")
RETURN_NAMES = ("MOTION_MODEL", "encoder_only")
CATEGORY = "Animate Diff 🎭🅐🅓/② Gen2 nodes ②/AnimateLCM-I2V"
FUNCTION = "load_motion_model"
def load_motion_model(self, model_name: str, ad_settings: AnimateDiffSettings=None):
# load motion module and motion settings, if included
motion_model = load_motion_module_gen2(model_name=model_name, motion_model_settings=ad_settings)
# make sure model is an AnimateLCM-I2V model
if motion_model.model.mm_info.mm_format != AnimateDiffFormat.ANIMATELCM:
raise Exception(f"Motion model '{motion_model.model.mm_info.mm_name}' is not an AnimateLCM-I2V model; selected model is not AnimateLCM, and does not contain an img_encoder.")
if motion_model.model.img_encoder is None:
raise Exception(f"Motion model '{motion_model.model.mm_info.mm_name}' is not an AnimateLCM-I2V model; selected model IS AnimateLCM, but does NOT contain an img_encoder.")
# create encoder-only motion model
encoder_only_motion_model = create_fresh_encoder_only_model(motion_model=motion_model)
return (motion_model, encoder_only_motion_model)