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: MLLW
widget:
- text: >-
Generate an image of a man standing in the middle of a lush green football
field, wearing a bright red Liverpool FC jersey with the iconic Liverbird
crest and 'LFC' logo printed prominently on his chest. The jersey should
have a bold, vibrant red color with white accents. The man should be posed
in a confident stance, with his feet shoulder-width apart and his arms
crossed, conveying a sense of pride and enthusiasm for the team. The
background should feature a blurred-out football stadium with the stands
and seats visible, but not distracting from the main subject. The lighting
should be natural and soft, with a slight warm glow to evoke a sense of
excitement and energy. The overall mood of the image should be one of
passion, loyalty, and dedication to the Liverpool FC team.
output:
url: images/example_9e2zvy536.png
Mllw
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
Trigger words
You should use MLLW 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('BKKSPY/MLLW', 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