Alexander Apsit FLUX LoRA for Posters, Illustrations, Book Covers, Collage art, Pamphlets, and more. By SilverAgePoets.com

Our Low-Rank Adapter (LoRA) for FLUX models, fine-tuned on the distinctive c.1910s-1920s early Soviet poster illustrations by:
the artist Alexander Apsit (1880-1944).

Prompt
APSIT style Soviet revolutionary illustration of rebelling cat in a suit screaming at monstrous mutant policemen during a street battle in San Francisco, red title text at the top: "END EMPIRE! END DEAD ERAS' RX!"
Prompt
APSIT style APSIT style Soviet revolutionary illustration of rebelling proletarians APSIT style Soviet revolutionary illustration of a revolutionary sailor on the left and a Ukrainian cossack on the right tying up and capturing a flabby green monster whose name is "CAPITAL": title text atop
Prompt
APSIT style Soviet revolutionary illustration of rebelling proletarians bringing down the pillars of global Capital, upon which sits a bulging massive many limbed chimeric monster with the crown of a tzar, a fat flabby body, many limbs armed with deadly weapons, a beastly head, and a serpent's tail. Yet, the rebels prevail, and though many among them are massacred, some succeed un shattering the foundations of Capital and its ghastly overlord! Caption on the stone monument being destroyed reads: “CAPITAL"

Trained via LiuLiu's PEFT+Tensorflow-based trainer built into the DrawThings app.
Cosine annealing scheduling with warm restarts.
Only 3 epochs, 600 steps, but 128 dims/alpha, with orthogonal down layer fixing.

Trigger words

You should use APSIT style or 'APSIT style Soviet revolutionary illustration' to summon the artist's latent hand.

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/Alexander_Apsit_Style_Art_FLUX_LoRa_By_SilverAgePoets_DrawThingsTrainedOnDeDistilled', weight_name='VaApsit_lora_600st_f16convert.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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