Instructions to use Muapi/moreface-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/moreface-lora 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/moreface-lora") 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
Download preview.jpg from Muapi/moreface-lora: direct link, hf CLI and curl.
- Browser
- Download file 120 kB
-
https://huggingface.co/Muapi/moreface-lora/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/moreface-lora/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/moreface-lora/resolve/main/preview.jpg
120 kB

- Xet hash:
- d88a1cd97a4845ee9c0be2f6953e73b8c3cb8cf42cf25fc3c4fd790383cf238b
- Size of remote file:
- 120 kB
- SHA256:
- 3039526126afb1c5efa8783677d13f24d211f5f5fb865e3cd951a49cb13751fe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.