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 Settings
- Draw Things
- DiffusionBee
Add a diffusers checkpoint
#4
by anton-l HF Staff - opened
Hi @nitrosocke , congrats on the release!
Adding a converted diffusers checkpoint to make sure that the free inference widget sees the model :)
anton-l changed pull request status to open
nitrosocke changed pull request status to merged
Thank you so much for taking care of this!
I couldn't get the conversion to work yesterday.
