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---
license: apache-2.0
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: AKHMATOVA, blemished skin texture with slight wrinkles
widget:
- text: a close-up photo of AKHMATOVA
output:
url: AkhmatovaV3_1.png
- text: >-
film photograph portrait of a sad Anna Akhmatova in New York City, in her
thirties, blemished skin texture with slight wrinkles
output:
url: AkhmatovaV3_2.png
- text: >-
vintage side-view photograph of young Anna AKHMATOVA, classic analog color
photography
output:
url: AkhmatovaV3_3.png
- text: >-
text: "Annoyed, she threw cards to the wind!", a high quality poster of a
very young thin poet Anna AKHMATOVA in 1910, sitting at a table outdoors and
angrily throwing up into the air Tarot cards, inscription text: "She threw
cards to the wind!"
output:
url: images/example_6dg8uypxo.png
- text: >-
high definition award winning intricate dynamic photorealistic close up
photo portrait of anna akhmatova, in the background is planet earth covered
with nuclear blasts, museum quality photography, background is a NATO-run
highly decorated embassy jail, the composition is cinematic, the visual
detail is intricate and graphic, intensive surreal and realistically
dreamlike war imagery influenced by ilya kuvshinov, metahuman
output:
url: images/example_o9a8k41m5.png
---
<Gallery />
# Anna Akhmatova Flux Low-Rank Adapter (LoRA) Version 2 by SilverAgePoets.com
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/)). <br>
And capturing the legendary **poet**: <br>
**Anna Andreevna Akhmatova** <br> *(b.06/26/1889-d.03/05/1966)* <br>
For this LoRA we used highly detailed manually-composed paragraph captions. <br>
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! <br>
**VERSION 2 NOTE:** <br>
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. <br>
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](https://huggingface.co/AlekseyCalvin/Akhmatova_Flux_LoRA_SilverAgePoets_v3_DeDistilledTrained). <br>
**MORE INFO:** <br>
This is a **rank-24 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/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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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