Trained on a dataset of 60 vintage photos (most of them colorized by us and/or by Klimbim).

And capturing the legendary poet:
Anna Andreevna Akhmatova
(b.06/26/1889-d.03/05/1966)

For this LoRA we used highly detailed manually-composed paragraph captions.

It was trained for 1600 steps (a 1300 checkpoint also added) at a Diffusion-Transformer Learning Rate of .0004, dim/alpha of 32, batch 1, AdamW8bit optimizer! Minimal synthetic data (just a few reluctant upscales), zero auto-generated captions!

VERSION 3 NOTE:

This third version of the Akhmatova LoRA was trained on the Colossus 2.1 Dedistilled Flux model by AfroMan4Peace, available here in a diffusers format and here at CivitAI.

As of writing this blurb, we haven't yet tested this LoRA enough to say much concretely, but our other adapters trained over de-distilled modifications of FLUX have been shown to be more versatile than most base-model trained LoRAs in regards to compatibility and output variability.

In parallel, we've also trained yet another Akhmatova LoRA (version 2) over a regular version of Flux, to enable a better basis for comparative testing. That version is available in a different repo here.

MORE INFO:

This is a rank-32 historical LoRA for Flux (whether of a Dev, a Schnell, or a Soon® sort...)
Use it to diffusely diversify the presence of Akhmatova's deathless visage in our strange latter-day world! And once you're faced with this poet's iconic penetrating stare, do lend your ears to her as well: listen in to her voice! Wherefrom might this voice resound for you? A dusty paperback? Google search? Maybe a clip on YouTube? Or, say, your very memory reciting verses suddenly recalled?
In any case, we'll offer you some echoes to rely on, if you will: Namely, our translations of Akhmatova's verse-works, adapted from a proto-Soviet song-tongue into a Worldish one...
And found, along with many other poets' songs and tomes... Over at SilverAgePoets.com!

You should use AKHMATOVA or Anna Akhmatova or vintage autochrome photograph of Anna Akhmatova to summon the poet's latent spirit.

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers