MLLW / README.md
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---
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
<Gallery />
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](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)