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 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
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