README.md

---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co./black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
pipeline_tag: text-to-image
library_name: diffusers
emoji: 🔜
tags:
- flux
- diffusers
- lora
- replicate
- image-generation
- flux-diffusers
- schnell
- photo
- Mayakovsky
- art
- poster
- realism
- character
- historical person
- poetry

base_model: "black-forest-labs/FLUX.1-dev"
instance_prompt: MAYAK style Constructivist Poster

widget:
- text: MAYAK style drawing of politician saying /I AM CORRUPT!/, Constructivist cartoon poster
  output:
    url: MayakArtsV1_7.webp
- text: >-
    MAYAK style drawing of politician saying /I AM CORRUPT!/, Constructivist cartoon poster
  output:
    url: MayakArtsV1_6.webp
- text: >-
    MAYAK style drawing of politician saying /I AM CORRUPT!/, Constructivist cartoon poster
  output:
    url: MayakArtsV1_5.webp
- text: >-
    MAYAK style drawing of politician saying /I AM CORRUPT!/, Constructivist cartoon poster
  output:
    url: MayakArtsV1_3.webp
- text: >-
    MAYAK style drawing of politician saying /I AM CORRUPT!/, Constructivist cartoon poster
  output:
    url: MayakArtsV1_2.webp
- text: >-
    MAYAK style drawing of politician saying /I AM CORRUPT!/, Constructivist cartoon poster
  output:
    url: MayakArtsV1_4.webp
---

<Gallery />

# Mayakovsky Style Soviet Posters & Cartoons Flux LoRA – Version 1 – by SOON®

Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train

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> 
For this version of the training, unlike Version 2 (linked below), we used auto-captions, and did not train the text encoder.  <br>
This first not-very-successful version of the resultent LoRA (check out V.2 [here](https://huggingface.co./AlekseyCalvin/Mayakovsky_Posters_2_5kSt)) was trained on regular old FLUX.1-Dev. <br> 
This version of the training went for 1500 steps at a DiT Learning Rate of .0004, batch 3, with the Adamw8bit optimizer!<br> 
No synthetic data was used for the training! <br> 

This is a **rank-32/alpha-32 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 Constructivist art` to trigger the image generation.


## 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/MayakArt', 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)