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
Commit History
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Add Diffusers weights (#8)
- Add Diffusers weights (e39f3cf9f2c5435a3877a8ef38b151c960e426e5) Co-authored-by: Guizmus <Guizmus@users.noreply.huggingface.co>62e5f2c
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Add a diffusers checkpoint (#4)
- Add a diffusers checkpoint (0ea24749bb659700f97e8a99639ba5dab3a74c61) Co-authored-by: Anton Lozhkov <anton-l@users.noreply.huggingface.co>516c17f