Instructions to use Angel-cell/ProGraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Angel-cell/ProGraph with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Angel-cell/ProGraph", 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:
- 9968ec0136ac52e9c8dc676cc290baebb33d90b609464714cb639aa9d1b5f8b4
- Size of remote file:
- 173 MB
- SHA256:
- 5bce4547e810ca67faba94767eedc87ccc9c17da2fafd7c53bdcc4dcb85c204e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.