File size: 2,375 Bytes
8265047 f886898 8265047 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
---
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
---
## HSToric Collo-Color Dedistlled
## ____||| By SilverAgePoets.com |||____
<Gallery />
This addition to our HSToric Color text-2-image model adapter series was fine-tuned over the [Colossus 2.1 Dedistilled Model](https://civitai.com/models/833086?modelVersionId=996001), a modified Flux-family model by Afroman4peace. <br>
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.<br>
**This model is aimed at being useful for**:<br>
- 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. <br>
- 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. <br>
## Trigger words
You should use `HST style autochrome photograph` to open a vivid window into a chromatically bewitching ever-futurous past.<br>
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
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]
```
|