Instructions to use lea97338/LouV5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lea97338/LouV5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lea97338/LouV5", 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
Download vae.pt from lea97338/LouV5: direct link, hf CLI and curl.
- Browser
- Download file 32.2 kB
-
https://huggingface.co/lea97338/LouV5/resolve/main/vae.pt
- Command line
-
hf download hf://lea97338/LouV5/vae.pt
-
curl -L -o vae.pt https://huggingface.co/lea97338/LouV5/resolve/main/vae.pt
32.2 kB
- Xet hash:
- acd819dcf898bb6f0d1caf6d85f70436a94de3a4c5b358b8aaf76a1ac18a26e0
- Size of remote file:
- 32.2 kB
- SHA256:
- 5ce20d2ace0dc7d7484627b216ce7367aecd45c13d9f6aa1bd15ab544d4785da
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