Instructions to use anthienlong/lida with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anthienlong/lida 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("anthienlong/lida") prompt = "lida a beautiful woman in red long coat" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: lida a beautiful woman in red long coat
output:
url: images/lida.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: lida
license: unknown
Lida

- Prompt
- lida a beautiful woman in red long coat
Model description
Lida Lora from Shakker
Trigger words
You should use lida to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.