Instructions to use IOU-NB/SLURPP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IOU-NB/SLURPP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("IOU-NB/SLURPP", 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:
- ff3ae0c30e29d17509a4ee65d39b1e905610177b4da0766ba690eafc7f104b37
- Size of remote file:
- 3.47 GB
- SHA256:
- 300c1fd66d4fffc8160fc84dda498bf13862c52db0b5d94e4e2bc83e962c94a7
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