Instructions to use nesaorg/LazyMix-Uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nesaorg/LazyMix-Uncensored with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nesaorg/LazyMix-Uncensored", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Adding `diffusers` weights of this model
#2
by fielding - opened
This PR adds fp32 and fp16 weights in PyTorch and safetensors format to nesaorg/lazymix-uncensored
fielding changed pull request status to merged