Instructions to use Muapi/splash-effect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/splash-effect 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/splash-effect") 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/splash-effect: direct link, hf CLI and curl.
- Browser
- Download file 326 kB
-
https://huggingface.co/Muapi/splash-effect/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/splash-effect/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/splash-effect/resolve/main/preview.jpg
326 kB

- Xet hash:
- b1f44adc33d5c5c33a4ebb9857af3af29153941f1c833f5a3686e8a0a50f34ba
- Size of remote file:
- 326 kB
- SHA256:
- 105400c3f25751c87499264d49c217b4693617c1775b7a638639799619320138
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