| 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 | |
| <Gallery /> | |
| ## 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)) | |
| ``` |