Instructions to use Akbartus/FluxHandDrawnVectorStyle_LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akbartus/FluxHandDrawnVectorStyle_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("Akbartus/FluxHandDrawnVectorStyle_LORA") prompt = "fla8" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 692d1bba02b2d5c0bce6e43d3f237575f8c229a11fef1a0d4aaaceceb9421e47
- Size of remote file:
- 306 MB
- SHA256:
- ba9c8926a1bbba6cd95495b3fafe7e3e866a429381fcdcc62678a114526090a7
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