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.index.json from lea97338/Lou: direct link, hf CLI and curl.
- Browser
- Download file 101 Bytes
-
https://huggingface.co/lea97338/Lou/resolve/main/model.index.json
- Command line
-
hf download hf://lea97338/Lou/model.index.json
-
curl -L -o model.index.json https://huggingface.co/lea97338/Lou/resolve/main/model.index.json
101 Bytes
| {"architecture": "Lou_GAN", "framework": "pytorch", "manifest": ["pytorch_model.bin", "config.json"]} |