nodes/kijai-ComfyUI-WanVideoWrapper
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Update nodes.py

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kijai
2025-06-12 18:19:52 +03:00
parent d34cabc985
commit 34fecc3063
1 changed files with 1 additions and 9 deletions
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nodes.py
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@@ -2399,8 +2399,6 @@ class WanVideoExperimentalArgs:
"fresca_scale_low": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
"fresca_scale_high": ("FLOAT", {"default": 1.25, "min": 0.0, "max": 10.0, "step": 0.01}),
"fresca_freq_cutoff": ("INT", {"default": 20, "min": 0, "max": 10000, "step": 1}),
"use_nag": ("BOOLEAN", {"default": False}),
"nag_scale": ("FLOAT", {"default": 11.0, "min": 1.0, "max": 20.0, "step": 1.0}),
},
}
@@ -3004,14 +3002,8 @@ class WanVideoSampler:
drift_timesteps = torch.cat([drift_timesteps, torch.tensor([0]).to(drift_timesteps.device)]).to(drift_timesteps.device)
timesteps[-drift_steps:] = drift_timesteps[-drift_steps:]
use_cfg_zero_star = use_fresca = nag_scale = False
nag_negative_context = None
use_cfg_zero_star = use_fresca = False
if experimental_args is not None:
use_nag = experimental_args.get("use_nag", False)
if use_nag:
nag_negative_context = text_embeds["negative_prompt_embeds"]
nag_scale = experimental_args.get("nag_scale", 11)
video_attention_split_steps = experimental_args.get("video_attention_split_steps", [])
if video_attention_split_steps:
transformer.video_attention_split_steps = [int(x.strip()) for x in video_attention_split_steps.split(",")]