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
- Xet hash:
- 45f32b49d5ebc0898de5a408af1cf0e97af9cc048ebbed4f10c0848e77fad356
- Size of remote file:
- 492 MB
- SHA256:
- 40264a082e63a1ac7ea1fdb4ef9f5e900530cc3f33c5183ba041e834c7213e61
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