Instructions to use ManuD/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManuD/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ManuD/test", 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:
- fc4a8db3f03ae46352c4151b39c68dde74cf9e5e70a0912da37ed992235c1577
- Size of remote file:
- 3.46 GB
- SHA256:
- c00428c452831dbbb1d3aef29105913252baef9de50543ed28c7cb958256e189
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