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: 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

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

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