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:
- 5ca32f872fa760a1b24109ab13e045a4f4d397449048e37ddd3826dd5a971dc1
- Size of remote file:
- 9.88 GB
- SHA256:
- e1f917f113024a1a10ad868d578d522639296062f937e0f7f8b8b8b31ec9de38
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