Instructions to use stabilityai/stable-diffusion-3.5-medium-amdnpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-3.5-medium-amdnpu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium-amdnpu", 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:
- 3cf1883baf01cc574932f0475207d61b240dc46182cb65f79036055d139209a8
- Size of remote file:
- 1.39 GB
- SHA256:
- 79b9ff623592af62146d15d4fcee9eb4e8f909da4a7eda0f2f4b976c6dbcf560
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