license: apache-2.0
tags:
- text-to-image
- template:sd-lora
- flux
- lora
- flux dev
- image-generation
- diffusers
- photo
pipeline_tag: text-to-image
emoji: 🔜
language:
- en
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: HST autochrome photo
widget:
- text: >-
HST style photo of a green-eyed cat, centered title text HISTORIC COLOR
DEV
output:
url: hstdev2.png
- text: >-
autochrome HST style photo of a green-eyed cat, centered title text
HISTORIC COLOR DEV
output:
url: hstdev5.png
Soonr Flux HST IV: HISTORIC COLOR 2 Dev
A Dev version of our antique color photography LoRA for FLUX.1-dev. See our Schnell Version for a somewhat more explicit iteration of this adapter. Trained by A.C.T. Soon® for 6000 steps, using a very low learning rate, on one A100 via Colab Pro, using an AI Toolkit notebook by Ostris. While our Schnell version of this LoRA was trained on a relatively large archive, 300 images, for the Dev variation we used a slightly smaller selection of high quality restored choice images from an expanded data set. Historic Color 3 will have yet another variant, trained on highest quality scans of original negatives. This data set, used for both models, consists of a selection from a remarkable and unique collection of color photographs taken during the 1900s and 1910s by Sergey Prokudin-Gorsky, who traveled and photographed widely in those years while pioneering and perfecting implementations of an early three-color-composite photography technique. We urge you to explore the work of Prokudin-Gorsky for yourself, at the wonderfully organized online archive at this link, featuring many hundreds of high quality downloadable scans of composite color photo prints from the photographer's original glass plate negatives, available at this site alongside relatively recent restorations of a substantial portion of the images. The original glass-plate negatives are currently held at and administrated by the Library of Congress in Washington, DC, USA.
Trigger words
You should use HST or 'HST style' to trigger the image generation.
- base model: black-forest-labs/FLUX.1-dev
Historical Note
Prokudin-Gorsky's color photography technique would involve three photo-exposures, either simultaneous or sequential, using specialized color-spectrum filters (basically R.B.G.: red, blue, and green), rendering the same subject/shot onto glass plates covered with light-emulsive mixture. Prokudin-Gorsky's focus on refining the developer and filter quality, in tandem with his incessant and wide-ranging experimentation, and his persistent usage of glass plates (unwieldly and increasingly old-fashioned, but elsewise extra reliable) ultimately led him to produce a color photography oeuvre of much greater fidelity and vividness than achieved by most of his contemporaries. At the same time, the peculiarities of the photographer's method, coupled with his exceptionally hands-on execution thereof, would manifest in a range of idyosyncratic color, light, and motion artifacts common across the resulting prints. Seldom marring the image as a whole, and less grave than the weaknesses of some contemporenously emerging autochrome techniques, the warm color hazes and flares framing many of Prokudin-Gorsky's prints may be seen as a kind of ephemeral signature. Alongside some of the more subtle chromatic, textural, and (in some measure) figural characteristics of his work, these auras have imprinted themselves into this Flux LoRA, the fourth in our series of historical adapters for Flux.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
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.bfloat16).to('cuda')
pipeline.load_lora_weights('AlekseyCalvin/historic_color_dev')
image = pipeline('HST style photo of a cat').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers