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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3ef4004ddf5efcf2b5ee4242c86ceb9f53affd06b0288e9a1c669f28d4b1854f
- Size of remote file:
- 48.6 kB
- SHA256:
- 45866024848f6f84a2e53194e36a7a0f0b39d618943017b78dad9093ce757ddc
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