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:
- 0e93b063441142d860ec5462d7ddaec1a6259a5daf1fb996c55173c3de4ac05f
- Size of remote file:
- 4.79 GB
- SHA256:
- 440a9f0e55f4e40636cb2a56c1e804183597adae812e0d6db03b9bbd24951231
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.