Instructions to use Muapi/mecha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/mecha 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/mecha") 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/mecha: direct link, hf CLI and curl.
- Browser
- Download file 109 kB
-
https://huggingface.co/Muapi/mecha/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/mecha/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/mecha/resolve/main/preview.jpg
109 kB

- Xet hash:
- 298e964b36c2d1a7bd24a3db24f43254e2b445d9466a66ebdee4915e55ef8e8b
- Size of remote file:
- 109 kB
- SHA256:
- 5b38c450d7f0ee302c1edf12d333a0bc2ab7a49f003f0d170e426b3bcc7655ac
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