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 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: >-
(Post-Gen Edited 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 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
Mayakovsky Style Soviet Constructivist Posters & Cartoons Flux LoRA(v.1) by SOON®
Trained via Ostris' ai-toolkit on 50 high-resolution scans of 1910s/1920s posters & artworks by the great Soviet poet, artist, & Marxist activist Vladimir Mayakovsky.
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.
These translated textographic elements were, furthermore, re-placed by us into their original visual contexts, using fonts matched up to the sources.
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.
This version of the resultent LoRA was trained on our custom Schnell-based checkpoint (Historic Color 2), available here in fp8 Safetensors and here in Diffusers format.
The training went for 5000 steps at a DiT Learning Rate of .00002, batch 1, with the ademamix8bit optimizer!
No synthetic data was used for the training, nor any auto-generated captions! Everything was manually and attentively pre-curated with a deep respect for the sources used.
This is a rank-32/alpha-64 Constructivist Art & Soviet Satirical Cartoon LoRA for Flux (whether of a Dev, a Schnell, or a Soon® sort...)
Namely, our translations of Mayakovsky's verse-works, adapted from a proto-Soviet song-tongue into a Worldish one...
And found, along with many other poets' songs and tomes...
Over at 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
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