Instructions to use Muapi/character-design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/character-design 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/character-design") 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/character-design: direct link, hf CLI and curl.
- Browser
- Download file 252 kB
-
https://huggingface.co/Muapi/character-design/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/character-design/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/character-design/resolve/main/preview.jpg
252 kB

- Xet hash:
- 27754f2716c5d118e361ff094220ea2ea2a578dc099df982a9ca7b3c936422ae
- Size of remote file:
- 252 kB
- SHA256:
- 30bf00488acd799dc358823c1d76398f67be948b3dc03e2a9f400b38209be388
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.