Instructions to use Muapi/bwtec_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/bwtec_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/bwtec_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

- Xet hash:
- df668248fe6f59dfd576658ed35513194c2a1bce29487a18c3f6f5dc80b9b82d
- Size of remote file:
- 489 kB
- SHA256:
- 19e02910d8548004a6c073dbfb843e33e286afe06ed8dfe1fa3bf2ae915d3586
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