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feat: Support SCAIL WanVideo model (#12614)

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Jukka Seppänen
2026-02-28 23:49:12 +02:00
committed by GitHub
parent 95e1059661
commit 1f6744162f
6 changed files with 255 additions and 1 deletions
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38
comfy/model_base.py
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@@ -1502,6 +1502,44 @@ class WAN21_FlowRVS(WAN21):
super(WAN21, self).__init__(model_config, model_type, device=device, unet_model=comfy.ldm.wan.model.WanModel)
self.image_to_video = image_to_video
class WAN21_SCAIL(WAN21):
def __init__(self, model_config, model_type=ModelType.FLOW, image_to_video=False, device=None):
super(WAN21, self).__init__(model_config, model_type, device=device, unet_model=comfy.ldm.wan.model.SCAILWanModel)
self.memory_usage_factor_conds = ("reference_latent", "pose_latents")
self.memory_usage_shape_process = {"pose_latents": lambda shape: [shape[0], shape[1], 1.5, shape[-2], shape[-1]]}
self.image_to_video = image_to_video
def extra_conds(self, **kwargs):
out = super().extra_conds(**kwargs)
reference_latents = kwargs.get("reference_latents", None)
if reference_latents is not None:
ref_latent = self.process_latent_in(reference_latents[-1])
ref_mask = torch.ones_like(ref_latent[:, :4])
ref_latent = torch.cat([ref_latent, ref_mask], dim=1)
out['reference_latent'] = comfy.conds.CONDRegular(ref_latent)
pose_latents = kwargs.get("pose_video_latent", None)
if pose_latents is not None:
pose_latents = self.process_latent_in(pose_latents)
pose_mask = torch.ones_like(pose_latents[:, :4])
pose_latents = torch.cat([pose_latents, pose_mask], dim=1)
out['pose_latents'] = comfy.conds.CONDRegular(pose_latents)
return out
def extra_conds_shapes(self, **kwargs):
out = {}
ref_latents = kwargs.get("reference_latents", None)
if ref_latents is not None:
out['reference_latent'] = list([1, 20, sum(map(lambda a: math.prod(a.size()), ref_latents)) // 16])
pose_latents = kwargs.get("pose_video_latent", None)
if pose_latents is not None:
out['pose_latents'] = [pose_latents.shape[0], 20, *pose_latents.shape[2:]]
return out
class Hunyuan3Dv2(BaseModel):
def __init__(self, model_config, model_type=ModelType.FLOW, device=None):
super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.hunyuan3d.model.Hunyuan3Dv2)