Instructions to use XaflocAI/EKO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XaflocAI/EKO 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("XaflocAI/EKO") prompt = "EKO, digital nomads working in the basement of an old abandoned mine, computer screens everywhere, data and analytics on the screen" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
FLUX LoRA - EKO Art Style

- Prompt
- EKO, digital nomads working in the basement of an old abandoned mine, computer screens everywhere, data and analytics on the screen

- Prompt
- EKO, planet breaking apart. Explosion. The world crumbles. Space debris
Model description
A FLUX LoRA that tries to mimic the style of https://x.com/EkoLovesYou
Examples were generated using Euler [Normal, Beta, SGM Uniform] with Distilled CFG Scale [3.8 - 4.2]
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 5
Model tree for XaflocAI/EKO
Base model
black-forest-labs/FLUX.1-dev