Instructions to use lenML/DeepNegativeXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lenML/DeepNegativeXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lenML/DeepNegativeXL", dtype=torch.bfloat16, device_map="cuda") prompt = "vampire bride,film photography aesthetic,the delicate texture of lace veil gently obscuring her face,long blonde hair,looking at viewer,eye eye contact,sapphire red eyes,choker,devil smile,dynamic composition,skin texture,from above,close-up,sharp focus,horror \\(theme\\),dutch angle," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f3f1e2bbb13f865f7bd972768e306ebc0b9063ab05159a718b261ca8468d3304
- Size of remote file:
- 263 kB
- SHA256:
- eabfb312e2df431e55a3edf35707b00cc0d920dc08c4e5aa26530d5e302225e0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.