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Pass pooled CLIP to stage b.
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@ -474,15 +474,11 @@ class StableCascade_B(BaseModel):
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clip_text_pooled = kwargs["pooled_output"]
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if clip_text_pooled is not None:
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out['clip_text_pooled'] = comfy.conds.CONDRegular(clip_text_pooled)
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out['clip'] = comfy.conds.CONDRegular(clip_text_pooled)
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#size of prior doesn't really matter if zeros because it gets resized but I still want it to get batched
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prior = kwargs.get("stable_cascade_prior", torch.zeros((1, 16, (noise.shape[2] * 4) // 42, (noise.shape[3] * 4) // 42), dtype=noise.dtype, layout=noise.layout, device=noise.device))
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out["effnet"] = comfy.conds.CONDRegular(prior)
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out["sca"] = comfy.conds.CONDRegular(torch.zeros((1,)))
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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['clip'] = comfy.conds.CONDCrossAttn(cross_attn)
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return out
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