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 Van Helsing, the legendary vampire hunter, dressed in
a rugged and worn leather outfit. He should be wearing a long, dark brown
leather duster coat with multiple pockets and a wide lapel, paired with
matching leather pants and gloves. His feet should be clad in knee-high,
lace-up leather boots with a low heel and a subtle brogue pattern. On his
head, Van Helsing should wear a wide-brimmed, black leather hat with a
subtle curve to the brim and a silver band around the crown. The hat
should be adorned with a few subtle, intricate engravings that hint at his
supernatural-hunting profession. In his right hand, Van Helsing should
hold a ornate, steam-punk inspired gun with intricate engravings and a
large, flared muzzle. The gun should have a worn, well-used look to it,
with a few scratches and scuffs on the metal. Slung over his left
shoulder, Van Helsing should carry an ornate, hand-carved crossbow with a
rich, dark wood stock and a intricately designed trigger mechanism. The
crossbow should be adorned with small, gleaming silver accents and a few
subtle, mystical symbols etched into the wood. The overall aesthetic
should be dark, gritty, and Victorian-inspired, with a hint of steampunk
flair. The image should evoke a sense of danger, adventure, and
supernatural mystery. The lighting should be dramatic, with deep shadows
and a few highlights that accentuate Van Helsing's rugged features and his
deadly, high-tech weaponry.
output:
url: images/example_u5wpbmwvq.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