Instructions to use AlekseyCalvin/long_shot_century with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/long_shot_century with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/long_shot_century") prompt = "HST style photo" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
SOON® HISTORY Flux Vol.1: Long-Shot Century
Model description
A Flux fine-tune trained on over 100 colorized 19th Century photo portraits, predominantly the archive of very early mugshot portraits of suspected (and, by and large, actual) French Anarchists taken by Alphonse Bertillon circa 1891-1895.
I will post the dataset here eventually.
Trigger words
You should use 'HST style photo portrait' to trigger the image generation.
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Model tree for AlekseyCalvin/long_shot_century
Base model
black-forest-labs/FLUX.1-dev