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:
- 2e64b2253f1eac001f903d3e8f41b700b732090f47323d79d3ca1d8ede3d5371
- Size of remote file:
- 335 MB
- SHA256:
- 7549ef2e858063ed6695bdc69c866f686ee5a34986cd345a26d618413046430e
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