Instructions to use aivibes9/flux-lora-fast-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aivibes9/flux-lora-fast-style 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("aivibes9/flux-lora-fast-style") prompt = "vibstyle" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
flux lora fast style
Model description
A LoRA model trained with fal.ai using Flux for fast style adaptation.
Trigger words
You should use vibstyle to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
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Model tree for aivibes9/flux-lora-fast-style
Base model
black-forest-labs/FLUX.1-dev