Instructions to use weijiawu/ParaDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use weijiawu/ParaDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("weijiawu/ParaDiffusion", 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
- Xet hash:
- 765ab4da9d3a4d9f5b70a6588570f24a8614252efb3d97da64e728eeeed38c73
- Size of remote file:
- 2.62 GB
- SHA256:
- dd7fb6fe823a1a7a8744ed5cb29dac8ae8a4e456e2557c106c99e3cf935897c6
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