Instructions to use Muapi/uni_sci-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/uni_sci-fi 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/uni_sci-fi") 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/uni_sci-fi: direct link, hf CLI and curl.
- Browser
- Download file 174 kB
-
https://huggingface.co/Muapi/uni_sci-fi/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/uni_sci-fi/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/uni_sci-fi/resolve/main/preview.jpg
174 kB

- Xet hash:
- 71feb976c3185e8fd6e32a25f97a6e3a8e331c19ed6fb7707755af891e57f45f
- Size of remote file:
- 174 kB
- SHA256:
- 823368bc4b84f5a4bd023c747554b3870d52a18b012e0f15d1b30c8b9977bd0c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.