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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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- diffusers |
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- photo |
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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-dev" |
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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: AKHMATOVA, blemished skin texture with slight wrinkles |
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widget: |
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- text: >- |
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a close-up photo of AKHMATOVA |
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output: |
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url: AkhmatovaV3_1.png |
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- text: film photograph portrait of a sad Anna Akhmatova in New York City, in her thirties, blemished skin texture with slight wrinkles |
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output: |
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url: AkhmatovaV3_2.png |
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- text: >- |
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vintage side-view photograph of young Anna AKHMATOVA, classic analog color photography |
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output: |
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url: AkhmatovaV3_3.png |
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--- |
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<Gallery /> |
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# Anna Akhmatova Flux Low-Rank Adapter (LoRA) Version 2 by SilverAgePoets.com |
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Trained via Ostris' [ai-toolkit](https://replicate.com/ostris/flux-dev-lora-trainer/train) on 60 vintage photos (most of them colorized by us and/or by [Klimbim](https://klimbim2020.wordpress.com/)). <br> |
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And capturing the legendary **poet**: <br> |
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**Anna Andreevna Akhmatova** <br> *(b.06/26/1889-d.03/05/1966)* <br> |
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For this LoRA we used highly detailed manually-composed paragraph captions. <br> |
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It was trained for 1200 steps at a Transformer Learning Rate of .0002, batch 1, AdamW8bit! Minimal synthetic data (just a few reluctant upscales), zero auto-generated captions! <br> |
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**VERSION 2 NOTE:** <br> |
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For this second version of an Akhmatova LoRA, we somewhat refined our dataset and used a tried-and-tested likeness-learning fine-tuning workflow over base FluxDev. <br> |
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In parallel, we've also trained yet another Akhmatova LoRA over a homebrew De-Distilled merge version of Flux. That version is available in a different repo here. <br> |
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**MORE INFO:** <br> |
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This is a **rank-24 historical 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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Use it to diffusely diversify the presence of Akhmatova's deathless visage in our strange latter-day world! |
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And once you're faced with this poet's iconic penetrating stare, do lend your ears to her as well: listen in to her voice! |
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Wherefrom might this voice resound for you? A dusty paperback? Google search? Maybe a clip on YouTube? Or, say, your very memory reciting verses suddenly recalled?<br> |
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In any case, we'll offer you some echoes to rely on, if you will: |
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Namely, our **translations of Akhmatova'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/akhmatovamain)!** |
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## Trigger words |
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You should use `AKHMATOVA` or `Anna Akhmatova` or `vintage autochrome photograph of Anna Akhmatova` to summon the poet's latent spirit. |
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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/Akhmatova_Flux_LoRA_SilverAgePoets_v2_regularFluxD', 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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