Instructions to use Muapi/facial-slider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/facial-slider with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/facial-slider") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- d803ad7c0ccbf9fafe7386d406f6f0bc44e175a94ca733785ba6233759b00471
- Size of remote file:
- 5.99 MB
- SHA256:
- 88479c158e19631996cb0fbc5ef2e05ab303566ecbaa7187cdfc22a6de09420d
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