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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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instance_prompt: vintage photograph of Anna AKHMATOVA, blemished skin texture with slight wrinkles |
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widget: |
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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: Mayak__000003600.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: 1730581715413__000003600_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: OMriver_3600_1.jpg |
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--- |
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<Gallery /> |
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# Mayakovsky Style Soviet Constructivist Posters & Cartoons Flux LoRA – Version 2 – by SOON® |
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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> |
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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 translated textographic elements were, furthermore, re-placed by us into their original visual contexts, using fonts matched up 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 in fp8 Safetensors](https://huggingface.co/AlekseyCalvin/HistoricColorSoonrFluxV2/tree/main) and [here in Diffusers format](https://huggingface.co/AlekseyCalvin/HistoricColorSoonr_v2_FluxSchnell_Diffusers). <br> |
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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> |
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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> |
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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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Check out 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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## 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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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
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```py |
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from diffusers import AutoPipelineForText2Image |
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import torch |
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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_3600st', weight_name='lora.safetensors') |
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image = pipeline('your prompt').images[0] |
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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) |
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