Instructions to use sid229/posterdemo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sid229/posterdemo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sid229/posterdemo", 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:
- 2c0e0bf956f5ce0bc173632daf99248d2f703df0668d9876f0fa8fb328ec059a
- Size of remote file:
- 681 MB
- SHA256:
- 9a05f39e537cf67e9745109974b9d1a3dc988377bd83c15bd512c5c5f7668baf
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