Instructions to use gokaygokay/Flux-Expressive-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gokaygokay/Flux-Expressive-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("gokaygokay/Flux-Expressive-LoRA") prompt = "XPRSSV, expressive painting, lake and small boat drinking coffee" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Usage
XPRSSV, expressive painting, <<your prompt>> for best results
This LoRA is trained with FAL Fast LoRA Trainer .

- Prompt
- XPRSSV, expressive painting, lake and small boat drinking coffee

- Prompt
- XPRSSV, expressive painting, lady in shadow, dark tones, calm looking

- Prompt
- XPRSSV, expressive painting, old fashion car on the street

- Prompt
- XPRSSV, expressive painting, portrait of an old man with beard and mustache at a bar drinking coffee

- Prompt
- XPRSSV, expressive painting, dog running on garden

- Prompt
- XPRSSV, expressive painting, skyscrappers, bridges, crowded modern city

- Prompt
- XPRSSV, expressive painting, plane flying over city

- Prompt
- XPRSSV, expressive painting, house, sunny day, clear sky

- Prompt
- XPRSSV, expressive painting, two roman warriors fighting, colosseum
Citation and attribution
This model release is maintained by Gökay Aydoğan. If you reference this repository in academic work, please cite it as follows and also cite the upstream models, datasets, or projects it builds upon.
@software{aydogan2024flux_expressive_lora,
author = {Aydoğan, Gökay},
title = {{Flux-Expressive-LoRA}},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/gokaygokay/Flux-Expressive-LoRA},
note = {Model repository; cite the base model and upstream datasets as required.}
}
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Model tree for gokaygokay/Flux-Expressive-LoRA
Base model
black-forest-labs/FLUX.1-dev