Instructions to use nilor-corp/zenerator-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nilor-corp/zenerator-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nilor-corp/zenerator-models", 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
Commit History
models revised to match minimal requirements to run zenerator general, upscale, and upscale TensorRT 5e41e56
added juggernaut_reborn checkpoint and sams, bbox, segm models 2b026f4
danyharoun commited on