--- license: openrail language: - en - ru 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 ## Usage You can use this model using huggingface Interface API: ```Python 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)) ```