Update README.md

README.md

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----
-license: apache-2.0
----
+---
+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
+
+---
+<Gallery />
+
+# Anna Akhmatova Flux Low-Rank Adapter (LoRA) Version 2 by SilverAgePoets.com & 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> 
+
+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. <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)