Instructions to use Muapi/fu-hua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fu-hua 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/fu-hua") 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:
- fab2a6d3a908c9ac2fe5b1c88f9dd1c868e9313ff2f5203c06bd3fe13574650a
- Size of remote file:
- 240 kB
- SHA256:
- 03f9cdf305b25faf44ea23bd62957c0367dfb467508bcadd9ce146c5973f601a
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