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 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 MLLW with thin
and lean ,long hair, 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_q9mf1h81e.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