metadata
license: apache-2.0
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: HST style autochrome photograph
widget:
- text: >-
HST style autochrome photo Leningrad in the 1980s, springtime, alone,
brutalist soviet architecture, streetlights, atmospheric eerie mysterious
ambience of desolate Leningrad at night,apartment buildings in the ussr in
the 1980s, midnight night Paris backdrop, bespectacled, desolate street,
situationist debord drinking wine at night, empty street
output:
url: images/example_szjr0rcqa.png
- text: >-
HST amateur anachrome photo, best quality, photorealism, amateur photo
shot on cell phone, bright, sunny, daytime sky, USSR, heavens like
coffee, intricate, highly detailed, award winning detailed poet Yanka
Diagheleva in close up against backdrop of heaven like coffee, with lousy
crutches, in a city sprouting from acorns , like a reconstructed far more
beautifully Siberian city from perestroika era USSR, best composition,
extreme photo-realism, vivid colors, fractal patterns, golden ratio,
heaven like coffee
output:
url: images/example_ckte34jgq.png
HSToric Collo-Color Dedistlled
||| By SilverAgePoets.com |||
Like some of the other HST color models, this variant was trained on HD scans of early color photos (circa *1900s-1910s*) by **Sergey Prokudin-Gorsky**, who traveled and photographed widely in those years whilst perfecting implementations of a pioneering 3-color-composite photography technique.
This model is aimed at being useful for:
- Producing realistic images reminiscent of color film analog photography, exhibiting parallels to a broad spectrum of iconic instrumentalities and visual paradigms, from Autochrome-to-Kodachrome-to-Fujifilm-and-beyond.
- Producing visuals with a vaguely "historical" or "lived-in" aesthetic character, striking chromaticity and luminosity dynamics, as well as textural/anatomical/skin details more reliably lifelike than through the use of other suchlike-use-case-catered adapters.
Trigger words
You should use HST style autochrome photograph
to open a vivid window into a chromatically bewitching ever-futurous past.
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/HSTcolorLoRA_ColossusDedistilledTrainedVersions')
image = pipeline('your prompt').images[0]