Instructions to use Muapi/mecha_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/mecha_flux 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_flux") 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_flux: direct link, hf CLI and curl.
- Browser
- Download file 579 kB
-
https://huggingface.co/Muapi/mecha_flux/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/mecha_flux/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/mecha_flux/resolve/main/preview.jpg
579 kB

- Xet hash:
- 85e03531dc465c8abc8b8a6561b8c5b111318aae474831c181ff6d8802ea666f
- Size of remote file:
- 579 kB
- SHA256:
- a8d873e98fd481c692a4a0f90955874cad0e57d3ad98178f417f9233c7e0a1d9
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