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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ tags:
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+ - flux
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+ - diffusers
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+ - lora
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+ - replicate
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+ - image-generation
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+ - flux-diffusers
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+ - schnell
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+ - photo
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+ - Mayakovsky
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+ - art
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+ - poster
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+ - realism
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+ - character
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+ - historical person
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+ - poetry
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+ - literature
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+ - history
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+ - archival
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+ base_model: "black-forest-labs/FLUX.1-schnell"
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+ pipeline_tag: text-to-image
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+ library_name: diffusers
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+ emoji: 🔜
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+
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+ instance_prompt: vintage photograph of Anna AKHMATOVA, blemished skin texture with slight wrinkles
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+
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+ widget:
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+ - text: >-
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+ 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!/
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+ output:
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+ url: OMlend.jpg
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+ - text: >-
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+ 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
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+ output:
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+ url: Ay_2.jpg
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+ - 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!/
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+ output:
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+ url: 1730591317624__000005000_3.jpg
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+ - text: >-
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+ 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!/
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+ output:
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+ url: OmRIver5k.jpg
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+
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+ ---
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+ <Gallery />
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+
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+ # Mayakovsky Style Soviet Constructivist Posters & Cartoons Flux LoRA(v.1) by SOON®
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+ 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>
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+ 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>
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+ These textographic elements were, furthermore, re-placed by us into their original visual contexts, using fonts matched to the sources. <br>
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+ 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>
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+ 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>
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+
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+ 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>
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+
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+ Namely, our **translations of Mayakovsky's verse-works**, adapted from a proto-Soviet song-tongue into a Worldish one...<br>
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+ And found, along with many other poets' songs and tomes...
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+ Over **at [SilverAgePoets.com](https://www.silveragepoets.com)!**
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+
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+ ## Trigger words
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+ 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.
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+ ```py
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+ from diffusers import AutoPipelineForText2Image
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+ import torch
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+
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+ pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
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+ pipeline.load_lora_weights('AlekseyCalvin/Mayakovsky_Posters_2_5kSt', weight_name='lora.safetensors')
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+ image = pipeline('your prompt').images[0]
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+ ```
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+
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+ 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)