Instructions to use life/retrofuturewoman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use life/retrofuturewoman 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("life/retrofuturewoman") prompt = "A person in a bustling cafe retrofuturewoman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 63d73cc702ff2def3c79f2f7685865c5dcea06316d7edf8ac40adf0e4eebb5f9
- Size of remote file:
- 172 MB
- SHA256:
- 15f6ad9a82c534b7c15ec427bfec7bfbafafd001081b3293841c2cc4524a4760
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