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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 humble scene in rural Thailand. In the center of
the image, depict a man standing in front of a small, traditional Thai house
with a thatched roof. The house should be simple, with wooden walls and a
corrugated metal door. The thatched roof should be worn and slightly
disheveled, with some straw or leaves sticking out. The man should be
dressed in worn, earth-toned clothing, consisting of a loose-fitting
farmer's shirt with buttons undone, revealing a plain white undershirt. His
pants should be faded and patched in places, with a wide belt holding them
up. He should wear scuffed and dusty boots that look like they've seen many
years of hard work. The man's facial expression should be kind and weary,
with deep lines etched on his face from years of working under the sun. He
should have a gentle gaze, looking directly at the viewer with a sense of
quiet dignity. In the background, include lush greenery and a few trees,
giving a sense of the rural village setting. The atmosphere should be
peaceful and serene, with perhaps a few birds flying in the distance or a
gentle breeze rustling the leaves. **Style:** The image should be
rendered in a realistic style, with attention to detail and texture. The
colors should be muted and earthy, reflecting the rustic setting. The
lighting should be soft and warm, with the sun casting a gentle glow over
the scene. **Mood:** The mood of the image should be contemplative and
introspective, evoking a sense of simplicity and contentment. The image
should convey a sense of respect for the man's hard work and his connection
to the land.
output:
url: images/example_b810v3i2u.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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