Instructions to use Muapi/fluxgiant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fluxgiant 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/fluxgiant") 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:
- cf5956b4b3bdddc0b6ad9a8c4b98eaac7adeb70fcccd714164c30dcbadc68d45
- Size of remote file:
- 352 kB
- SHA256:
- a0ceb9c393818fa2459215957f2142e9dd247325b911826c77811e71ea890193
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