Instructions to use svjack/face-control-lora-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use svjack/face-control-lora-zh with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("svjack/face-control-lora-zh", 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:
- 01a2ec8d2f2ac640906bb73e0804edb88f9b0d3a4bd9593db197c56718d1ab81
- Size of remote file:
- 24.4 MB
- SHA256:
- 648dfbdb34d1fe585a6cbc76800ba3e07cafec70027aab169fdc724c99f53072
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