README.md

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: MJV3
widget:
  - text: a dream, art in the style of MJV3, a woman
    output:
      url: >-
        https://replicate.delivery/yhqm/WmxXwrnQ0sZeByV0FuWmhoC8tZtVHsbSFkldVL0fFXlupMXTA/out-0.webp
  - text: >-
      the word "v3" in cursive in the style of MJV3, against a beautiful flowery
      forest
    output:
      url: >-
        https://replicate.delivery/yhqm/wXowvnO9im7DNtY3znNxRc4nPqC6gFbqzS62RoHQXHNHQz1E/out-0.webp

Flux lora for a Midjourney v3 aesthetic

Prompt

a dream, art in the style of MJV3, a woman

Prompt

the word "v3" in cursive in the style of MJV3, against a beautiful flowery forest

Run on Replicate:

https://replicate.com/fofr/flux-mjv3

Trained on Replicate using:

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

Trigger words

You should use MJV3 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('fofr/flux-mjv3', 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