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AlekseyCalvin/Akhmatova_Flux_LoRA_SilverAgePoets_v2_regularFluxD

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Anna Akhmatova Flux Low-Rank Adapter (LoRA) Version 2 by SilverAgePoets.com

Trained via Ostris' ai-toolkit on 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 1200 steps at a Transformer Learning Rate of .0002, batch 1, AdamW8bit! Minimal synthetic data (just a few reluctant upscales), zero auto-generated captions!

VERSION 2 NOTE:

For this second version of an Akhmatova LoRA, we somewhat refined our dataset and used a tried-and-tested likeness-learning fine-tuning workflow over base FluxDev. In parallel, we've also trained yet another Akhmatova LoRA over a homebrew De-Distilled merge version of Flux. That version is available in a different repo here.

MORE INFO:

This is a rank-24 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](https://www.silveragepoets.com/akhmatovamain)!

Trigger words

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

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('AlekseyCalvin/Akhmatova_Flux_LoRA_SilverAgePoets_v2_regularFluxD', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

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