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:
- a6c9c290e86b5da293b8781d3a4a3de2cb1619bdabbaa21f2062b2f93d544188
- Size of remote file:
- 39.3 kB
- SHA256:
- 06f4609bd513dc63b068d739c84658c3288d94977d9ebff6fd6348dd2c160997
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