Instructions to use Muapi/mazes-mice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/mazes-mice 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/mazes-mice") 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/mazes-mice: direct link, hf CLI and curl.
- Browser
- Download file 335 kB
-
https://huggingface.co/Muapi/mazes-mice/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/mazes-mice/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/mazes-mice/resolve/main/preview.jpg
335 kB

- Xet hash:
- 397f2afc169d9cb4942dd4d3270923d8716e4cbb646231803e790f6e14572dd0
- Size of remote file:
- 335 kB
- SHA256:
- 34eb0c7e5020a86e8c0dd0fb9f7b1ec9bffb10012a4caa3f13659fa432394826
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