Instructions to use OPPOer/FaceScore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OPPOer/FaceScore with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OPPOer/FaceScore", 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:
- 1bc1b37d21db6f60a287fe94035b98d3a287baae5de3f152a46948ee3aa11950
- Size of remote file:
- 1.79 GB
- SHA256:
- 50633d6a34bac94fad848389ee19c6a76b76eb9fc5a751c93a5d93e1c9318e25
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