--- license: other license_name: flux-1-dev-non-commercial-license license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md language: - en tags: - flux - diffusers - lora - replicate - image-generation - flux-diffusers - diffusers - photo - realism - character - historical person - poetry - literature - history - archival base_model: "black-forest-labs/FLUX.1-dev" pipeline_tag: text-to-image library_name: diffusers emoji: 🔜 instance_prompt: vintage photograph of Anna AKHMATOVA, blemished skin texture with slight wrinkles widget: - text: >- a Soviet ruble with a portrait illustration of Anna AKHMATOVA output: url: 0026.jpg - text: film photograph portrait of a sad Anna Akhmatova in New York City, in her thirties, blemished skin texture with slight wrinkles output: url: Akhm7.png - text: close-up film autochrome photograph portrait of Anna Akhmatova in Manhattan, blemished skin texture with slight wrinkles output: url: Akhm2.webp - text: >- vintage side-view photograph of young Anna AKHMATOVA, classic analog color photography output: url: Akhm3.webp --- # Anna Akhmatova Flux LoRA(v.1) by SOON® Trained via Ostris' [ai-toolkit](https://replicate.com/ostris/flux-dev-lora-trainer/train) on 60 vintage photos (most of them colorized by us and/or by [Klimbim](https://klimbim2020.wordpress.com/)) capturing the legendary **poet Anna Andreevna Akhmatova**. For this LoRA we used highly detailed manually-composed paragraph captions. It was trained for 1200 steps at a Transformer Learning Rate of .0005, batch 1, AdamW8bit! Minimal synthetic data (just a few reluctant upscales), zero auto-generated captions!
This is a **rank-32 historical LoRA for Flux** (whether of a [Dev](https://huggingface.co/black-forest-labs/FLUX.1-dev), a [Schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell), or a [Soon®](https://huggingface.co/AlekseyCalvin/HistoricColorSoonr_Schnell) 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](https://github.com/huggingface/diffusers) ```py 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/AKHMATOVAflux_fullLora', 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)