Instructions to use Muapi/face-projection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/face-projection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/face-projection") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 131 Bytes
b63d3e7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b6ad5ccecd93044dc519f88dbd9e9fcaa6f5f05c826bd6e631e62bbbc35f0d5a
size 176271
|