Instructions to use Muapi/sparkling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/sparkling 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/sparkling") 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/sparkling: direct link, hf CLI and curl.
- Browser
- Download file 337 kB
-
https://huggingface.co/Muapi/sparkling/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/sparkling/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/sparkling/resolve/main/preview.jpg
337 kB

- Xet hash:
- fce03a90bb116627ae654ba801a8b28a38fd7668f90329c05258f3eca443639c
- Size of remote file:
- 337 kB
- SHA256:
- 9ee8f247753a60e0710c7eb9d0650600f3c242caada7934a6addb39f6f466d75
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.