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-f2.safetensors from vladmandic/MicroDecoder: direct link, hf CLI and curl.
- Browser
- Download file 9.75 MB
-
https://huggingface.co/vladmandic/MicroDecoder/resolve/main/microdecoder-f2.safetensors
- Command line
-
hf download hf://vladmandic/MicroDecoder/microdecoder-f2.safetensors
-
curl -L -o microdecoder-f2.safetensors https://huggingface.co/vladmandic/MicroDecoder/resolve/main/microdecoder-f2.safetensors
9.75 MB
- Xet hash:
- dc6ac7819d384dce4a6a8362af1d6dd15e5469f81de91bf8367efbf3f1a5bc0f
- Size of remote file:
- 9.75 MB
- SHA256:
- 9914d3c3ef783d5659111c45cf50fa52d45d08418e89c368c0f07d31a561a915
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