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:
- 32a2639fc05f78f4785d791a811dec1e9b8762c9bc89c9891ae856444be69b9f
- Size of remote file:
- 172 MB
- SHA256:
- e4c2337117832caff7fbf48c9264a6ee01153f20aa59463d080e993405f44bd2
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