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---
license: apache-2.0
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
- image-generation
- flux-diffusers
- schnell
- photo
- Mayakovsky
- art
- poster
- realism
- character
- historical person
- poetry
- literature
- history
- archival
base_model: "black-forest-labs/FLUX.1-schnell"
pipeline_tag: text-to-image
library_name: diffusers
emoji: 🔜
instance_prompt: vintage photograph of Anna AKHMATOVA, blemished skin texture with slight wrinkles
widget:
- text: >-
MAYAK style drawing of aging poet Osip Mandelstam reading in a trolley in Leningrad /IVE RETURNED TO MY CITY, I KNOW IT TO TEARS, TINY VEINS, & TO GLANDS, SWOLLEN UP LIKE A KID'S!/
output:
url: OMlend.jpg
- text: >-
MAYAK style satyrical Constructivist book cover panel featuring Vladimir Mayakovsky in a suit, yelling out from the top of an American skyscraper to top-hatted capitalists below the following text: "AND YOU? COULD YOU HAVE?", stylized book art
output:
url: Ay_2.jpg
- 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!/
output:
url: 1730591317624__000005000_3.jpg
- text: >-
MAYAK style art of poet Mandelstam reading /YOU'VE RETURNED HERE, SO SWALLOW THEN, FAST AS YOU MIGHT, ALL THE FISH OIL OF LENINGRAD'S RIVERINE LIGHT!/
output:
url: OmRIver5k.jpg
---
<Gallery />
# Mayakovsky Style Soviet Constructivist Posters & Cartoons Flux LoRA(v.1) by SOON®
Trained via Ostris' [ai-toolkit](https://replicate.com/ostris/flux-dev-lora-trainer/train) on 50 high-resolution poster scans & artworks 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 textographic elements were, furthermore, re-placed by us into their original visual contexts, using fonts matched 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, for 5000 steps at a Transformer Learning Rate of .00002, batch 1, ademamix8bit! No synthetic data, zero auto-generated captions! <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>
Namely, our **translations of Mayakovsky's verse-works**, adapted from a proto-Soviet song-tongue into a Worldish one...<br>
And found, along with many other poets' songs and tomes...
Over **at [SilverAgePoets.com](https://www.silveragepoets.com)!**
## Trigger words
You should use `MAYAK style` or `MAYAK style Constructivist poster art` or `MAYAK style satyrical drawing` or suchlike to summon the poet's deathlessly pens and brushes.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
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/Mayakovsky_Posters_2_5kSt', 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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