xinyun/ComfyUI-KJNodes
1
0
Fork 0
mirror of https://git.datalinker.icu/kijai/ComfyUI-KJNodes.git synced 2026-04-21 10:26:59 +08:00
Code Issues Packages Projects Releases Wiki Activity

Update nodes.py

Browse Source
This commit is contained in:
kijai 2025-02-02 00:16:57 +02:00
parent e11695a305
commit e9a3170c72
1 changed files with 9 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
nodes/nodes.py
View File

@ -2233,6 +2233,8 @@ class LeapfusionHunyuanI2V:
"model": ("MODEL",),
"latent": ("LATENT",),
"index": ("INT", {"default": 0, "min": -1, "max": 1000, "step": 1,"tooltip": "The index of the latent to be replaced. 0 for first frame and -1 for last"}),
"start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "The start percentage of steps to apply"}),
"end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "The end percentage of steps to apply"}),
"strength": ("FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.001}),
}
}
@ -2242,19 +2244,22 @@ class LeapfusionHunyuanI2V:
CATEGORY = "KJNodes/experimental"
def patch(self, model, latent, index, strength):
def patch(self, model, latent, index, strength, start_percent, end_percent):
def outer_wrapper(samples, index):
def outer_wrapper(samples, index, start_percent, end_percent):
def unet_wrapper(apply_model, args):
steps = args["c"]["transformer_options"]["sample_sigmas"]
inp, timestep, c = args["input"], args["timestep"], args["c"]
if samples is not None:
current_step_index = (steps == timestep).nonzero().item()
current_percent = current_step_index / (len(steps) - 1)
if samples is not None and start_percent <= current_percent <= end_percent:
inp[:, :, [index], :, :] = samples[:, :, [0], :, :].to(inp)
return apply_model(inp, timestep, **c)
return unet_wrapper
samples = latent["samples"] * 0.476986 * strength
m = model.clone()
m.set_model_unet_function_wrapper(outer_wrapper(samples, index))
m.set_model_unet_function_wrapper(outer_wrapper(samples, index, start_percent, end_percent))
return (m,)