Instructions to use stabilityai/stable-diffusion-3.5-large_amdgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-3.5-large_amdgpu 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-large_amdgpu", 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:
- 4cb1b2cddfaeada19c60efdf6a9717f6bce4afcc68dac0cde1f9c71e39ecd929
- Size of remote file:
- 2.09 MB
- SHA256:
- 3498a96cfb639e351554b2a3e665d5c5016df532519b8f1dc9ced979cf8f8273
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