Instructions to use phamav/french_braid_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use phamav/french_braid_v1 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("phamav/french_braid_v1") prompt = "a photo of a French braid" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
French Braid V1

- Prompt
- a photo of a French braid
Model description
LoRA weight for Flux.1 Dev model for generating images relating to French braid hairstyle.
Trigger words
You should use frnch to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for phamav/french_braid_v1
Base model
black-forest-labs/FLUX.1-dev