README.md

---
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 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: Mayak__000003600.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: 1730581715413__000003600_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: OMriver_3600_1.jpg

---
<Gallery />

# Mayakovsky Style Soviet Constructivist Posters & Cartoons Flux LoRA – Version 2 – by SOON®
Trained via Ostris' [ai-toolkit](https://replicate.com/ostris/flux-dev-lora-trainer/train) on 50 high-resolution scans of 1910s/1920s posters & artworks by 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 translated textographic elements were, furthermore, re-placed by us into their original visual contexts, using fonts matched up 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 in fp8 Safetensors](https://huggingface.co/AlekseyCalvin/HistoricColorSoonrFluxV2/tree/main) and [here in Diffusers format](https://huggingface.co/AlekseyCalvin/HistoricColorSoonr_v2_FluxSchnell_Diffusers). <br> 
To produce this earlier checkpoint (the full 5000 run is available in [another](https://huggingface.co/AlekseyCalvin/Mayakovsky_Posters_2_5kSt) repo), the training went on for 3600 steps at a DiT Learning Rate of .00002, batch 1, with the ademamix8bit optimizer, and both text encoders trained alongside the DiT!<br> 
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.  <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> 

Check out 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_3600st', 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)