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
- Xet hash:
- e600606dbfed69e7a965b6eba99a7435be29c4c3b033daa8236bcabbb5cdb8db
- Size of remote file:
- 1.45 GB
- SHA256:
- aa1d1bb7cb1eefb4ff7105fbcce0e941aaef218951ab3828b082ad2f6b67d1a3
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