Instructions to use vladmandic/MicroDecoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vladmandic/MicroDecoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vladmandic/MicroDecoder", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download MicroDecoder.jpg from vladmandic/MicroDecoder: direct link, hf CLI and curl.
- Browser
- Download file 677 kB
-
https://huggingface.co/vladmandic/MicroDecoder/resolve/main/MicroDecoder.jpg
- Command line
-
hf download hf://vladmandic/MicroDecoder/MicroDecoder.jpg
-
curl -L -o MicroDecoder.jpg https://huggingface.co/vladmandic/MicroDecoder/resolve/main/MicroDecoder.jpg
677 kB

- Xet hash:
- e55d9269d0fd9091d4cb2a394989594f6ce349336931c40f85f2b280b682ff5a
- Size of remote file:
- 677 kB
- SHA256:
- fed3617eaa55e4433d3d4fd01da73e3208f8bbff451830134c67734ae2a5f7b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.