Instructions to use Tramac/style-portrait-v1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Tramac/style-portrait-v1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tramac/style-portrait-v1-5", 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
- Draw Things
- DiffusionBee

- Xet hash:
- db2ddc7e84b438cdae28eb71cc35f4ab42e8ec7681453dd73988b8448a637ded
- Size of remote file:
- 4.12 MB
- SHA256:
- c12173510819f47c8a039d01b00afae9f3bc88bcbff487f2204b9e1c32618f4c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.