README.md

metadata

license: openrail
language:
  - en
library_name: diffusers
pipeline_tag: text-to-image
tags:
  - midjourney
  - midjourney V6
  - v6
  - MJ
  - mj
  - kviai
  - kvikontent
  - text-to-image
  - lora
base_model: runwayml/stable-diffusion-v1-5
widget:
  - text: ed sheeran made of thnderstorm clouds, lights, thunder, rain, particles
    output:
      url: images/ed.png
  - text: >-
      silhouette of a dog in the thunderstorm clouds, thumder, photo, bad
      weather,
    output:
      url: images/dog.png
  - text: >-
      A professional photo of a beautiful night waterfall in the jungle with a
      touch of blue and a few fireflies flying around
    output:
      url: images/water.png

Midjourney V6

Midjourney is most realistic and powerful ai image generator in the world. Here is is Stable Diffusion LoRA model trained on 100k+ midjourney V6 images.

Examples

Prompt

ed sheeran made of thnderstorm clouds, lights, thunder, rain, particles

Prompt

silhouette of a dog in the thunderstorm clouds, thumder, photo, bad weather,

Prompt

A professional photo of a beautiful night waterfall in the jungle with a touch of blue and a few fireflies flying around

Usage

You can use this model using huggingface Interface API:

import requests

API_URL = "https://api-inference.huggingface.co/models/Kvikontent/midjourney-v6"
headers = {"Authorization": "Bearer HUGGINGFACE_API_TOKEN"}

def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.content
image_bytes = query({
    "inputs": "Astronaut riding a horse",
})
# You can access the image with PIL.Image for example
import io
from PIL import Image
image = Image.open(io.BytesIO(image_bytes))