Instructions to use lvkaposts/nela with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lvkaposts/nela 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("lvkaposts/nela") prompt = "nlgms in a bustling cafe " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
nela
Model trained with AI Toolkit by Ostris

- Prompt
- nlgms in a bustling cafe

- Prompt
- nlgms as a comic character next to her "NELA GEMS" shop

- Prompt
- nlgms showcasing her products
Trigger words
You should use nlgms to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for lvkaposts/nela
Base model
black-forest-labs/FLUX.1-dev