Update README.md

README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+language:
+- en
+tags:
+- SD3.5
+- diffusers
+- lora
+- replicate
+- image-generation
+- StableDiffusion3.5
+- photo
+- Mayakovsky
+- art
+- poster
+- realism
+- character
+- historical person
+- poetry
+- literature
+- history
+- archival
+base_model: "stabilityai/stable-diffusion-3.5-large"
+pipeline_tag: text-to-image
+library_name: diffusers
+emoji: 🔜
+
+instance_prompt: MAYAK style Constructivist Poster
+
+widget:
+- text: MAYAK style drawing of Osip Mandelshtam reciting /OH, BUT PETERSBURG! NO! IM NOT READY TO DIE! YOU STILL HOLD ALL THE TELEPHONE NUMBERS OF MINE!/
+  output:
+    url: 1730641155080__000002800_3.jpg
+- text: >-
+    MAYAK style art of poet Mandelstam reading /YOU'VE RETURNED HERE, SO SWALLOW THEN, FAST AS YOU MIGHT, ALL THE FISH OIL OF LENINGRAD'S RIVERINE LIGHT!/
+  output:
+    url: 1730641089182___1.jpg
+
+---
+<Gallery />
+
+# Mayakovsky Style Soviet Constructivist Posters & Cartoons Flux LoRA – Version 2 – by SOON®
+Trained via Ostris' [ai-toolkit](https://replicate.com/ostris/flux-dev-lora-trainer/train) on 50 high-resolution scans of 1910s/1920s posters & artworks by the great Soviet **poet, artist, & Marxist activist Vladimir Mayakovsky**.  <br> 
+For this training experiment, we first spent many days rigorously translating the textual elements (slogans, captions, titles, inset poems, speech fragments, etc), with form/signification/rhymes intact, throughout every image subsequently used for training.  <br> 
+These translated textographic elements were, furthermore, re-placed by us into their original visual contexts, using fonts matched up to the sources.  <br> 
+We then manually composed highly detailed paragraph-long captions, wherein we detailed both the graphic and the textual content of each piece, its layout, as well as the most intuitive/intended apprehension of each composition. <br> 
+This is the LoRA checkpoint at step 3000, while the training as a whole went for 5000 steps at a DiT Learning Rate of .00001, batch 1, with the adafactor optimizer, and the text encoders trained alongside the DiT!<br> 
+No synthetic data was used for the training, nor any auto-generated captions! Everything was manually and attentively pre-curated with a deep respect for the sources used.  <br> 
+
+This is a **rank-64/alpha-64 Constructivist Art & Soviet Satirical Cartoon LoRA for Stable Diffusion 3.5 Large** <br> 
+
+Check out our **translations of Mayakovsky'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)!**
+
+## Trigger words
+You should use `MAYAK style` or `MAYAK style Constructivist poster art` or `MAYAK style satyrical drawing` or suchlike to summon the poet's deathlessly pens and brushes.
+
+
+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)