Instructions to use Akbartus/SimpleVectorFlux_LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akbartus/SimpleVectorFlux_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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Akbartus/SimpleVectorFlux_LORA") prompt = "v3ct0r" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0ecb125325441bae8a2eb330648432a415e713c80f862877042fb837a4723a3d
- Size of remote file:
- 153 MB
- SHA256:
- caccd9e1603c2fe5db355c9c5554dbc40de90e24f4087b3ad7a7b8f6c6b33fdf
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