Instructions to use AlekseyCalvin/PeterhoFLUX_location_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/PeterhoFLUX_location_LoRA 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/PeterhoFLUX_location_LoRA") prompt = "vladimir Lenin in Peterhof" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
PeterhoFLUX SOON® by SilverAgePoets.com
A Low Rank Adaptor (LoRA) for FLUX Text2Image models...
Model Description:
A Flux LoRa fine-tuned on colorized photos taken in Peterhof, Russia/USSR throughout the 20th century.

- Prompt
- vladimir Lenin in Peterhof

- Prompt
- train station in peterhof, 1905, photo, modern photo of train station in 1905 HST

- Prompt
- In Peterhof, on Avrova street, Two thin long-haired Several Soviet Punks in the 1980s celebrating by a red-bricked historical building in Peterhof, one of the punks is taller in round sunglasses, the second punk is androgynous in a long shirt with constructivist designs,HST style, leather jackets, irregular haircuts, skinny black jeans, patches
Trigger Words:
You should use 'HST style' to trigger the image generation.
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Model tree for AlekseyCalvin/PeterhoFLUX_location_LoRA
Base model
black-forest-labs/FLUX.1-dev