README.md

---
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

---
<Gallery />

# 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! <br> 

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...) <br> 
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?<br> 
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...<br> 
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)