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

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

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

A BRIEF FRAGMENT FROM A FOREWORD AS AN INTRO:

"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"):

When ... participants of the conference left the lecture hall ... Brodsky happened to be at the center of our group ...
The conversation turned to evaluation of Tsvetaeva's talent in comparison with her most famous contemporaries.
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.
And he named Marina Tsvetaeva the greatest among the poets of the 20th century. I attempted to somehow qualify this.
"Among the Russian poets?"
Resoundingly irritated, he repeated.
"Among the poets of the 20th century."
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:
“What about Rilke?… Or...”
And I tacked on someone else, I forget who.
Angrily, Brodsky repeated:
"In our century, there is no poet greater than Tsvetaeva."
..."

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

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