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: >-
Create a striking digital artwork of a muscular, six-pack male figure
seamlessly blended with a nature-inspired outfit. The man's toned physique
is accentuated with soft, dynamic lighting, highlighting his defined abs and
athletic build. His attire is crafted entirely from organic elements:
intertwined vines wrap around his torso like armor, leaves form a cloak
cascading down his shoulders, and bark textures merge with his skin for a
surreal, earthy aesthetic. Add subtle moss accents, floral patterns, and
wooden details to enhance the harmony between human form and nature. The
background is a mystical forest with glowing bioluminescent plants,
cascading waterfalls, and golden sunlight filtering through ancient trees.
Render the scene in a vibrant, painterly style with ethereal textures,
blending realism and fantasy—think a mix of Alphonse Mucha's flowing lines
and Brian Froud's whimsical naturalism. Include faint magical elements, like
glowing runes on his skin or butterflies fluttering around him, to evoke a
sense of enchantment
output:
url: images/example_n7q1baao0.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)