Update README.md

README.md

@@ -26,7 +26,7 @@ pipeline_tag: text-to-image
 library_name: diffusers
 emoji: 🔜
 
-instance_prompt: vintage photograph of Anna AKHMATOVA, blemished skin texture with slight wrinkles 
+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!/
@@ -48,13 +48,13 @@ widget:
 ---
 <Gallery />
 
-# Mayakovsky Style Soviet Constructivist Posters & Cartoons Flux LoRA(v.1) by SOON®
+# 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 version of the resultent LoRA was trained on our custom Schnell-based checkpoint (Historic Color 2), available [here in fp8 Safetensors](https://huggingface.co/AlekseyCalvin/HistoricColorSoonrFluxV2/tree/main) and [here in Diffusers format](https://huggingface.co/AlekseyCalvin/HistoricColorSoonr_v2_FluxSchnell_Diffusers). <br> 
-The training went for 5000 steps at a DiT Learning Rate of .00002, batch 1, with the ademamix8bit optimizer!<br> 
+The training went for 5000 steps at a DiT Learning Rate of .00002, batch 1, with the ademamix8bit optimizer, and both 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-32/alpha-64 Constructivist Art & Soviet Satirical Cartoon 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>