Instructions to use yurujaja/DGInStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yurujaja/DGInStyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yurujaja/DGInStyle", 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:
- fb2159b38711a8d5dbe900adaa2f5e05661b789b5a6abeb406400783823f4f8b
- Size of remote file:
- 1.45 GB
- SHA256:
- a63fa54df930b348a4079b11e00649ccd27abd4529dea8bc33b832599de7b723
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