--- 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 --- # 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**.
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 textographic elements were, furthermore, re-placed by us into their original visual contexts, using fonts matched 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, for 5000 steps at a Transformer Learning Rate of .00002, batch 1, ademamix8bit! No synthetic data, zero auto-generated captions!
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...)
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](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)