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:
- 364733582105c8b3c33c43ef57ee59c0774d7846dc96035e2111e2da508607e5
- Size of remote file:
- 137 kB
- SHA256:
- 189409b5ec0f7e907e69ac91e3ccafe604a220190878657d2a7d729db9bb2c69
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