Instructions to use Muapi/super-liminal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/super-liminal 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/super-liminal") 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/super-liminal: direct link, hf CLI and curl.
- Browser
- Download file 3.2 MB
-
https://huggingface.co/Muapi/super-liminal/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/super-liminal/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/super-liminal/resolve/main/preview.jpg
3.2 MB

- Xet hash:
- 925a8652bc6b036a475b14453aa0906377002731fd607687e06364904dd945ef
- Size of remote file:
- 3.2 MB
- SHA256:
- 2ecca15932d4c8c60a89d83b08bc3ac83dcacdec1423542dab0b2706c2dffc20
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.