Instructions to use nitrosocke/Nitro-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/Nitro-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/Nitro-Diffusion", 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 `safetensors` variant of this model
#14 opened over 3 years ago
by
Snarkboy
Tutorials For How To Use Stable Diffusion on Google Colab & PC By Automatic1111 Web UI - Install, Run, DreamBooth & Textual Inversion Training, Custom Models, Yaml Files, Merge, Inject, Overtraining
1
#12 opened over 3 years ago
by
MonsterMMORPG
model_index.json not found
#9 opened over 3 years ago
by
nibo