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Fix: memory estimation for Anima with reference latent(s)

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levzzz5154 2026-04-15 00:28:19 +05:00
parent 35f54f3920
commit ebdeb9caa7
1 changed files with 8 additions and 0 deletions
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8
comfy/model_base.py
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@ -1201,6 +1201,7 @@ class CosmosPredict2(BaseModel):
class Anima(BaseModel): class Anima(BaseModel):
def __init__(self, model_config, model_type=ModelType.FLOW, device=None): def __init__(self, model_config, model_type=ModelType.FLOW, device=None):
super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.anima.model.Anima) super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.anima.model.Anima)
self.memory_usage_factor_conds = ("ref_latents",)
def extra_conds(self, **kwargs): def extra_conds(self, **kwargs):
out = super().extra_conds(**kwargs) out = super().extra_conds(**kwargs)
@ -1230,6 +1231,13 @@ class Anima(BaseModel):
out['ref_latents'] = comfy.conds.CONDList(latents) out['ref_latents'] = comfy.conds.CONDList(latents)
return out return out
def extra_conds_shapes(self, **kwargs):
out = {}
ref_latents = kwargs.get("reference_latents", None)
if ref_latents is not None:
out['ref_latents'] = [1, 16, sum(math.prod(lat.size()[2:]) for lat in ref_latents)]
return out
class Lumina2(BaseModel): class Lumina2(BaseModel):
def __init__(self, model_config, model_type=ModelType.FLOW, device=None): def __init__(self, model_config, model_type=ModelType.FLOW, device=None):
super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.lumina.model.NextDiT) super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.lumina.model.NextDiT)