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:
- 913cb0de3f8ee07df349fb4566c41de6a4a48b0754726983a14022f562df9aad
- Size of remote file:
- 172 MB
- SHA256:
- 81b374e251f2e03a2a0cef45b969dc9f565f5c7d90ae52bd019ad4433fbde519
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