metadata
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co./black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: HWRIT handwriting
widget:
- text: >-
HWRIT scrawling messy handwriting saying "Hello, this is a handwriting
lora", illegible, red ink on old stained
output:
url: images/example_s8o4qten4.png
- text: >-
HWRIT very neat handwriting saying "Hello, this is a handwriting lora",
blue ink on white paper
output:
url: images/example_m6vc7zep2.png
Flux Handwriting
Run is fast on Replicate:
https://replicate.com/fofr/flux-handwriting
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use HWRIT handwriting
to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('fofr/flux-handwriting', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers