Instructions to use vincenthugging/flux-dev-lora-lyf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vincenthugging/flux-dev-lora-lyf 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("vincenthugging/flux-dev-lora-lyf") prompt = "a portrait of lyf" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
flux dev lora lyf
Model description
A lora of liuyifei(a famous actress of China) based on Flux1.D
Trigger words
You should use lyf 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-general-training.
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Model tree for vincenthugging/flux-dev-lora-lyf
Base model
black-forest-labs/FLUX.1-dev