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:
- f96f67c8ebdc2eb74ae2ee1c2f49bba6d22021d442856a08517c65d2ee86135b
- Size of remote file:
- 2.65 GB
- SHA256:
- 3de877fe5f55ebdf9dc293111d8d79746624a6369d5e070fa25308fcff89bda5
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