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:
- ab429389eedccbb558980e271d53c7003b9fdf6fb15387bf4eb03b3f61b8df63
- Size of remote file:
- 1.45 GB
- SHA256:
- 24200eaf44d3ea2f3b0463844ba5b9951c7a26e7cfe2d0f412cb6c1f443c7a99
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