Instructions to use farnad/loudif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use farnad/loudif with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("farnad/loudif", 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
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Download README.md from farnad/loudif: direct link, hf CLI and curl.
- Browser
- Download file 24 Bytes
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https://huggingface.co/farnad/loudif/resolve/d087a5fcdcdec5ee4c39b591f24a7ce08497b67e/README.md
- Command line
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hf download hf://farnad/loudif@d087a5fcdcdec5ee4c39b591f24a7ce08497b67e/README.md
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curl -L -o README.md https://huggingface.co/farnad/loudif/resolve/d087a5fcdcdec5ee4c39b591f24a7ce08497b67e/README.md
24 Bytes
metadata
license: mit