Instructions to use PISCO-Insertion/PISCO-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PISCO-Insertion/PISCO-1.3B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PISCO-Insertion/PISCO-1.3B", 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:
- 9c8748925ce97e0f9af25f568acc88909075dd5510e2ab18797495c9bca63de5
- Size of remote file:
- 4.31 GB
- SHA256:
- 91f0e0a5a55c3a564543c78db1b70a7e30485bcb431d968a341876970a8f8a50
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