Instructions to use Muapi/whitearchitecture_flux_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/whitearchitecture_flux_lora 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/whitearchitecture_flux_lora") 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:
- 03775598add89129f25182b7ad0a9d3679ce8b8c4ca8f0b341e63af08bcef3b5
- Size of remote file:
- 687 MB
- SHA256:
- 8be5a5030e7dc6240a541febf27f22f6e27980c4067852d46462364f98a48c83
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