Instructions to use Muapi/front-facing-camera-selfie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/front-facing-camera-selfie 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/front-facing-camera-selfie") 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:
- 59d6b61b8ae323d3b8696a70d0366f21d61da522e17f6a8c401a3036d68c49fb
- Size of remote file:
- 1.7 MB
- SHA256:
- 45b3294f9e7b469f1b5996d55425c58ee180c64a4dbfe150c92f497e429dce5a
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