Instructions to use lilyftyunjin/nmixx1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lilyftyunjin/nmixx1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("latent-consistency/lcm-lora-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lilyftyunjin/nmixx1") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Downloads last month
- -
Model tree for lilyftyunjin/nmixx1
Base model
stabilityai/stable-diffusion-xl-base-1.0 Adapter
latent-consistency/lcm-lora-sdxl