Instructions to use BiliSakura/IntrisicWeather-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/IntrisicWeather-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/IntrisicWeather-diffusers", 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:
- 0d14efd1b9a2229360232fd5d965d26c6c9e3a86cd5ceb6ff2e9300f2ab9d922
- Size of remote file:
- 2.14 MB
- SHA256:
- b5b9f0ff31b173c101a24bcf78cd951639acc72bebdd5231f7a8d500d41b0457
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