Instructions to use Muapi/microx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/microx 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/microx") 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
- Xet hash:
- 703a8dfb74d8d20f1dacc8c6004fad7b67eacabd76e02ef7b52233a24edc815d
- Size of remote file:
- 19.4 MB
- SHA256:
- 4eb6456f74f316c616a766cd1c06272fa5f2560fa4e6192a6fdcdf5cf71a25a8
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