Instructions to use lucataco/ReplicateFluxLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lucataco/ReplicateFluxLoRA 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("lucataco/ReplicateFluxLoRA") prompt = "a boat in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 88c4f0c76eb3039a6abbdcda14a751b9b1b94e362102c785f9c1b86087ad4a50
- Size of remote file:
- 173 MB
- SHA256:
- d27fad63978f4617b0a71ff2a4107bee3c9febd362dfef763694213c1d925bd9
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