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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 a wealthy man standing in front of a traditional Thai
house in a rural village. The man should be dressed in formal attire,
including: * A crisp, white, long-sleeved dress shirt with a wingtip collar
and French cuffs * Dark brown or black formal trousers with a sharp crease *
Polished, knee-high leather boots with a subtle brogue pattern * A simple,
elegant watch on his wrist The man should be standing confidently in front
of the traditional Thai house, with one hand resting on the ornate wooden
doorframe and the other hand holding a pair of leather gloves. He should
have a relaxed, yet proud expression on his face. The traditional Thai
house should be a large, ornate structure with multiple tiers and a steeply
pitched roof. The exterior walls should be made of dark wood, with intricate
carvings and ornate decorations. The house should be surrounded by lush
greenery, with tropical plants and trees visible in the background. The
image should have a warm, sunny tone, with a slight sense of nostalgia and
elegance. The atmosphere should evoke a sense of prosperity and refinement,
as if the man is a wealthy landowner or aristocrat who has just returned to
his ancestral home.
output:
url: images/example_zhgnzgc6i.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)
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