Instructions to use udg/proge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/proge with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("udg/proge", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fd6a190349bd0e62143222219bae2ed062ded1cfd325886356415e402a137f9c
- Size of remote file:
- 492 MB
- SHA256:
- ae4b08083fc31a3570f6fd9ccd58e199d57395649aa26b1317a9091d1fed7f00
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