Instructions to use Baptlem/UCDR-Net_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Baptlem/UCDR-Net_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Baptlem/UCDR-Net_models", 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 table_training.png from Baptlem/UCDR-Net_models: direct link, hf CLI and curl.
- Browser
- Download file 36.4 kB
-
https://huggingface.co/Baptlem/UCDR-Net_models/resolve/main/table_training.png
- Command line
-
hf download hf://Baptlem/UCDR-Net_models/table_training.png
-
curl -L -o table_training.png https://huggingface.co/Baptlem/UCDR-Net_models/resolve/main/table_training.png
36.4 kB
