AlekseyCalvin/TSVETAEVA_Flux_LoRA_SilverAgePoets_v1

Marina Tsvetaeva Low-Rank Adapter (LoRA) for FLUX models, by SilverAgePoets.com

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Visit SilverAgePoets.com for our translations<br> From the works of the great poet and writer: <br>

Marina Tsvetaeva (b.08/10/1892-d.08/31/1941) <br>

A BRIEF FRAGMENT FROM A FOREWORD AS AN INTRO: <br>

"After Marina Tsvetaeva's centennial conference at Amherst (MA) in 1992, her biographer Irma Kudrova recorded the following dialog with Joseph Brodsky, a Nobel Prize winner, and the US Poet Laureate of that year (we translate from Kudrova's foreword to the book "Brodsky on Tsvetaeva"): <br>

When ... participants of the conference left the lecture hall ... Brodsky happened to be at the center of our group ... <br> The conversation turned to evaluation of Tsvetaeva's talent in comparison with her most famous contemporaries. <br> Then, all of a sudden, Brodsky expressed his stance on the matter more categorically than he had ever (as far as I know) formulated it in print. <br> And he named Marina Tsvetaeva the greatest among the poets of the 20th century. I attempted to somehow qualify this. <br> "Among the Russian poets?" <br> Resoundingly irritated, he repeated. <br> "Among the poets of the 20th century." <br> His irritation was unpleasant, but I wanted to know his view on this beyond any and all ambiguities or reservations, and so I went on qualifying: <br> “What about Rilke?… Or...” <br> And I tacked on someone else, I forget who. <br> Angrily, Brodsky repeated: <br> *"In our century, there is no poet greater than Tsvetaeva."* <br> ..." <br>

Trigger words

You should use TSVETAEVA to trigger the image generation.

Use it with the 🧨 diffusers library

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/TsvetaevaFlux', 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