Instructions to use yulet1de/nitro-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yulet1de/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("yulet1de/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:
- e1515398484aac0a62ba843b3dfdd2db560670bcd9ba10800254a3e51bdf3db1
- Size of remote file:
- 1.32 MB
- SHA256:
- af777feeab2c7e0f9578aa51d530ff7a7ab85c41db5d6a216b0b9f258272a4d3
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