Instructions to use armwaheed/stable-diffusion-3.5-medium-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use armwaheed/stable-diffusion-3.5-medium-onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("armwaheed/stable-diffusion-3.5-medium-onnx", 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:
- 0724b9d349cf340b62b0edc08a3a6d0bccac5ce86526da700ffa3f620a3bb3f2
- Size of remote file:
- 19 GB
- SHA256:
- 22fe153ff15d86366288486ecb4559fcb681b72bdce283bc9911a70b0fdaf293
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