---
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: Meldeeb
widget:
- text: >-
    A luxury businessman, standing confidently and smiling at the camera in a
    professional, elegant setting. He wears a tailored suit, polished shoes, and
    an expensive watch. The background shows modern, upscale office interiors
    with sleek furniture, floor-to-ceiling windows, and a view of a city
    skyline. The lighting is bright, and the atmosphere is sophisticated,
    reflecting success and high status. His posture is relaxed, exuding
    confidence and approachability, perfect for an Instagram vertical post.
  output:
    url: images/example_voanzdgsi.png

---

# Meldeeb Lora

<!-- <Gallery /> -->

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train


## Trigger words
You should use `Meldeeb` 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('Meldeeb/meldeeb-lora', 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)