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Document Flux2Pipeline latents shape #12807

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Document Flux2Pipeline latents shape #12807

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5 changes: 5 additions & 0 deletions src/diffusers/pipelines/flux2/pipeline_flux2.py
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Expand Up @@ -803,6 +803,11 @@ def __call__(
Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image
generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
tensor will be generated by sampling using the supplied random `generator`.

For this pipeline, the expected latent shape is `(batch_size, 128, height // 16, width // 16)` when using
the default `AutoencoderKLFlux2` VAE shipped with FLUX.2. Here `height` and `width` correspond to the
requested output resolution. Passing latents with a different shape will lead to shape mismatches inside
the VAE and transformer.
prompt_embeds (`torch.Tensor`, *optional*):
Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
provided, text embeddings will be generated from `prompt` input argument.
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