Instructions to use Klaus221/railey-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Klaus221/railey-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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Klaus221/railey-lora") prompt = "a photo of RAILEY woman, golden hour, 35mm film" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
license: creativeml-openrail-m
tags:
- text-to-image
- flux
- lora
- diffusers
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: RAILEY
widget:
- text: a photo of RAILEY woman, golden hour, 35mm film
output:
url: samples/sample1.jpg
Railey LoRA
A FLUX.1-dev LoRA. Trigger word: RAILEY
Usage
Use RAILEY in your prompt, e.g.:
a photo of RAILEY woman, sitting in a café, soft window light, 35mm film
Trained on Replicate using ostris/flux-dev-lora-trainer.