FLUX LoRA Fine-Tuned on 50 Artworks/Photos from the 1920s/30s + colorized photos of poet Georgiy Ivanov + a poem.
||| By SilverAgePoets.com |||
Each training image was overlaid with the text of our translation of a 1930 poem by Georgiy Ivanov (1894-1958)...
An experimental attempt to prototype a text2image LoRA "of a poem".
Georgiy Ivanov *(1894-1958) was an influential Russophone poet, critic, novelist, & memoirist.
Posted below, & used towards this LoRA, is our translation of a lyric poem from Ivanov’s best-known collection "Roses", published in Paris, 1930.*
I'm hearing — history and the humankind,
I'm hearing — exile or else the native land.
In books I read — duplicity and benevolence,
Despair and hope, or faith and faithlessness.
And I see, — Something vast, tender —
And frightening, iced to the core,
Eternally hope-deprived.
And I see, — Torture or else forgetfulness, —
Where everything's lost, forevermore,
Its significance.
And I see, — Beyond all time and distances, —
Above the poor earth,
An unearthly shimmering.
Check out our other translations from Ivanov's poetry & prose at this link.
Trigger words
You should use ivanovpoem style image with overlay poem text that reads: /I'm hearing — history and the humankind, I'm hearing — exile or else the native land. In books I read — duplicity and benevolence, Despair and hope, or faith and faithlessness. And I see, — Something vast, tender — And frightening, iced to the core, Eternally hope-deprived. And I see, — Torture or else forgetfulness, — Where everything's lost, forevermore, Its significance. And I see, — Beyond all time and distances, — Above the poor earth, An unearthly shimmering./
to cast forth the poet's echoing reveries.
Use it with the 🧨 diffusers library
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/1930_Poem_by_Georgiy_Ivanov_FluxLoRA_bySilverAgePoets')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Base model
black-forest-labs/FLUX.1-dev