Instructions to use liuwei33/qingqingdezhaopian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liuwei33/qingqingdezhaopian with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("liuwei33/qingqingdezhaopian", 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:
- 909e45514242d1becdc415d3981a229a92fedcce3bafbc5d0f0736cc2b65d5e0
- Size of remote file:
- 492 MB
- SHA256:
- 746b3dc6acc800860b1bac2d9002603d48292ef606022e4f09a791bf3745d4ee
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