Instructions to use Muapi/analogue-interfaces-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/analogue-interfaces-concept 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/analogue-interfaces-concept") 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/analogue-interfaces-concept: direct link, hf CLI and curl.
- Browser
- Download file 148 kB
-
https://huggingface.co/Muapi/analogue-interfaces-concept/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/analogue-interfaces-concept/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/analogue-interfaces-concept/resolve/main/preview.jpg
148 kB

- Xet hash:
- ccecbfbdc6f4622ef9fd1cfbd2a410ddd80f6ea90fc3af1374a9b0994b9904a3
- Size of remote file:
- 148 kB
- SHA256:
- 7eaad4be47659e12bb1e26a6faafe362ae0c5db859ed82f6bdc68b93413212a8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.