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: "AlekseyCalvin/Colossus_2.1_dedistilled_by_AfroMan4peace"
+pipeline_tag: text-to-image
+library_name: diffusers
+emoji: 🔜
+
+instance_prompt: Anna AKHMATOVA, blemished skin texture with slight wrinkles 
+
+widget:
+- text: >-
+    agitprop Constructivist poster of the poet Anna AKHMATOVA calling out "JOIN RCA!" in a speech bubble, over satirical cartoon of cool punky diverse teenage gen-z revolutionaries
+  output:
+    url: AkhmDedistilled1.jpg
+- text: >-
+    vintage side-view photograph of young Anna AKHMATOVA, classic analog color photography
+  output:
+    url: AnnaPoeticsWill.jpg
+
+---
+<Gallery />
+
+# Anna Akhmatova Flux Low-Rank Adapter (LoRA) Version 2 by SilverAgePoets.com
+Trained on a dataset of 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 1600 steps (a 1300 checkpoint also added) at a Diffusion-Transformer Learning Rate of .0004, dim/alpha of 32, batch 1, AdamW8bit optimizer! Minimal synthetic data (just a few reluctant upscales), zero auto-generated captions! <br> 
+
+**VERSION 3 NOTE:** <br> 
+
+This third version of the Akhmatova LoRA was trained on the **Colossus 2.1 Dedistilled Flux model by AfroMan4Peace**, available [here](https://huggingface.co/AlekseyCalvin/Colossus_2.1_dedistilled_by_AfroMan4peace) in a diffusers format and [here at CivitAI](https://civitai.com/models/833086/colossus-project-flux). <br>  
+As of writing this blurb, we haven't yet tested this LoRA enough to say much concretely, but our other adapters trained over de-distilled modifications of FLUX have been shown to be more versatile than most base-model trained LoRAs in regards to compatibility and output variability. <br> 
+
+In parallel, we've also trained yet another Akhmatova LoRA (version 2) over a regular version of Flux, to enable a better basis for comparative testing. That version is available in a different repo [here](https://huggingface.co/AlekseyCalvin/Akhmatova_Flux_LoRA_SilverAgePoets_v2_regularFluxD). <br> 
+
+**MORE INFO:** <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/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)