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
Download __init__.py from BiliSakura/IntrisicWeather-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 347 Bytes
-
https://huggingface.co/BiliSakura/IntrisicWeather-diffusers/resolve/main/__init__.py
- Command line
-
hf download hf://BiliSakura/IntrisicWeather-diffusers/__init__.py
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curl -L -o __init__.py https://huggingface.co/BiliSakura/IntrisicWeather-diffusers/resolve/main/__init__.py
347 Bytes
| from pipeline_intrinsic_weather import IntrinsicWeatherPipeline | |
| from pipeline_intrinsic_weather_forward import IntrinsicWeatherForwardPipeline | |
| from pipeline_intrinsic_weather_inverse import IntrinsicWeatherInversePipeline | |
| __all__ = [ | |
| "IntrinsicWeatherPipeline", | |
| "IntrinsicWeatherForwardPipeline", | |
| "IntrinsicWeatherInversePipeline", | |
| ] | |