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Implement regular and timestep zero reference images to krea 2 for ostris and identity edit ref loras. (#14843)
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@@ -2227,10 +2227,7 @@ class Omnigen2(BaseModel):
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out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn)
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ref_latents = kwargs.get("reference_latents", None)
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if ref_latents is not None:
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latents = []
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for lat in ref_latents:
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latents.append(self.process_latent_in(lat))
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out['ref_latents'] = comfy.conds.CONDList(latents)
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out['ref_latents'] = comfy.conds.CONDList([self.process_latent_in(lat) for lat in ref_latents])
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return out
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def extra_conds_shapes(self, **kwargs):
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@@ -2317,12 +2314,30 @@ class Ideogram4(BaseModel):
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class Krea2(BaseModel):
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def __init__(self, model_config, model_type=ModelType.FLUX, device=None):
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super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.krea2.model.SingleStreamDiT)
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self.memory_usage_factor_conds = ("ref_latents",)
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def extra_conds(self, **kwargs):
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out = super().extra_conds(**kwargs)
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cross_attn = kwargs.get("cross_attn", None)
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if cross_attn is not None:
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out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn)
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ref_latents = kwargs.get("reference_latents", None)
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if ref_latents is not None:
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latents = []
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for lat in ref_latents:
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latents.append(self.process_latent_in(lat))
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out['ref_latents'] = comfy.conds.CONDList(latents)
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ref_latents_method = kwargs.get("reference_latents_method", None)
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if ref_latents_method is not None:
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out['ref_latents_method'] = comfy.conds.CONDConstant(ref_latents_method)
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return out
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def extra_conds_shapes(self, **kwargs):
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out = {}
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ref_latents = kwargs.get("reference_latents", None)
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if ref_latents is not None:
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out['ref_latents'] = list([1, 16, sum(map(lambda a: math.prod(a.size()), ref_latents)) // 16])
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return out
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class HunyuanImage21(BaseModel):
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