Instructions to use amd/Nitro-1-SD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amd/Nitro-1-SD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("amd/Nitro-1-SD", 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:
- 5b13d1d1c20aa5979cf9b9f8b3b6bf8c45b55b11e994d5ce475e6feb25c565d4
- Size of remote file:
- 3.46 GB
- SHA256:
- f91a40613fa5c41b2370f83750821f2eb28a9bdf764422c20987b8cea6ac4447
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