Add cond + uncond batching to Chroma #11729
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yiyixuxu
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Jun 18, 2025
| @@ -846,11 +850,13 @@ def __call__( | |||
| if image_embeds is not None: | |||
| self._joint_attention_kwargs["ip_adapter_image_embeds"] = image_embeds | |||
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| # expand the latents if we are doing classifier free guidance | |||
| latent_model_input = torch.cat([latents] * 2) if self.do_classifier_free_guidance else latents | |||
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curious are we batching cond + uncond just to be consistent with diffusers pipeline style or do we see a performance benefit with it?
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Mainly for consistency, I don't see too much difference with or without it
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What does this PR do?
Small PR, adds cond and uncond batch to Chroma now that prompt embeds are in a consistent size
Relevant #11725
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