Instructions to use Qilex/magic-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qilex/magic-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qilex/magic-diffusion", 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:
- a44afaba9cab9d8d0f3c15ea280305ca09b111d96e338f2b5890de917e55ac94
- Size of remote file:
- 2.13 GB
- SHA256:
- 7d947a7f0e04ef02603ef496bbbd902aa0d3e771871b3a4cf762b6f7ec7ed445
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.