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:
- 15b60479874f386c1bb34a4e033aa5d355ef1c303cec3c368b473c216dfe98cd
- Size of remote file:
- 248 MB
- SHA256:
- 8d3ad0557f7e3f6a4a1e595347437a9c8307b82e68abf050169a4030f7cf19cd
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