AlekseyCalvin/Konstantin_Vaginov_Flux_LoRA_SilverAgePoets_v1

Konstantin Vaginov Flux

A Low Rank Adaptor (LoRA) for FLUX Text2Image models, trained to reincarnate the likeness of the poet & novelist:
Konstantin Vaginov (b.10/03/1899-d.04/25/1934).
Here's his Wikipedia Page.

Of course, if you were to meet this poet face to face, then you really ought to know his work.
Even a few fragments from the early years would do.
And now we see you twisting awkardly, all flustered, having seldom – if ever – dealt with poets quite so obscure, and all the more foreign for that.
Thankfully, we might be of help here, having long ago translated and compiled a concise sampler of selections from a few of Vaginov's major early works.
Find our translations over at SilverAgePoets.com!
More translations (and ressurected poets) coming soon; here, there, and elsewhere!

Prompt

HD vintage color raw photo of a solo Vaginov reading out a poem to trees at a park in Peterhof, detailed realistic crisp lifelike amateur photography, HD 16mm color movie about the 1920s USSR, text: \A Journey into Chaos\, mysterious mythic creatures from Greek mythology like nymphs and fauns and satyrs peek from behind trees to hear the poems he reads, moderately wrinkled weathered lined skin texture with pores and imperfections, intricate details, analog camera, raw photo, film grain

Prompt

HD vintage color raw cartoon illustration of a solo Vaginov arguing with an angry centaur stomping his hooves at an office of the Soviet writer's union,

Evocation-Charged Word

With FLUX running & this LoRA activated, include the name Vaginov in any prompt to conjure the long-deathless poet.

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/VaginovFlux', 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