Instructions to use Keltezaa/Vampires with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/Vampires 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("Keltezaa/Vampires") prompt = "Capture the essence in a highly detailed and realistic portrait, Vampire girl with an alluring smile showing her Vampire fangs" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from Keltezaa/Vampires: direct link, hf CLI and curl.
- Browser
- Download file 548 Bytes
-
https://huggingface.co/Keltezaa/Vampires/resolve/main/README.md
- Command line
-
hf download hf://Keltezaa/Vampires/README.md
-
curl -L -o README.md https://huggingface.co/Keltezaa/Vampires/resolve/main/README.md
548 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
Capture the essence in a highly detailed and realistic portrait, Vampire
girl with an alluring smile showing her Vampire fangs
output:
url: images/example_gcjsahoqc.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: cc-by-nc-sa-4.0
Vampires

- Prompt
- Capture the essence in a highly detailed and realistic portrait, Vampire girl with an alluring smile showing her Vampire fangs
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.