Text-to-Image
Diffusers
PyTorch
Safetensors
English
StableDiffusionPipeline
diffusion
ddpm
custom-architecture
Instructions to use lea97338/Lou with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lea97338/Lou 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/Lou", 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 model.pt from lea97338/Lou: direct link, hf CLI and curl.
- Browser
- Download file 15.4 MB
-
https://huggingface.co/lea97338/Lou/resolve/main/model.pt
- Command line
-
hf download hf://lea97338/Lou/model.pt
-
curl -L -o model.pt https://huggingface.co/lea97338/Lou/resolve/main/model.pt
15.4 MB
- Xet hash:
- 72bc6c8f9f1efaceebdbfb63920ffa7e03790d33a4a292e0a1e111e1d385fb8f
- Size of remote file:
- 15.4 MB
- SHA256:
- 03ecbfc02c66325589311e0e0af1326f4ad69af91a2cdf4f3e92ad36d0c50e5e
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