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--- |
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license: openrail |
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language: |
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- en |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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tags: |
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- midjourney |
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- midjourney V7 |
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- v6 |
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- MJ |
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- mj |
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- kviai |
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- kvikontent |
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- text-to-image |
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- lora |
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base_model: runwayml/stable-diffusion-v1-5 |
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widget: |
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- text: ed sheeran made of thnderstorm clouds, lights, thunder, rain, particles |
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output: |
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url: images/ed.png |
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- text: >- |
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man on the yeacht, particles, photoreal style |
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output: |
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url: images/yacht.png |
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- text: >- |
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A professional photo of a woman in blue particles |
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output: |
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url: images/woman.png |
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--- |
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# Midjourney V7 |
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Midjourney is most realistic and powerful ai image generator in the world. Here is is the first ever release of version 7 |
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## Examples |
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<Gallery /> |
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## Usage |
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You can use this model using huggingface Interface API: |
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```Python |
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import requests |
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API_URL = "https://api-inference.huggingface.co/models/Kvikontent/midjourney-v7" |
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headers = {"Authorization": "Bearer HUGGINGFACE_API_TOKEN"} |
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def query(payload): |
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response = requests.post(API_URL, headers=headers, json=payload) |
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return response.content |
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image_bytes = query({ |
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"inputs": "Astronaut riding a horse", |
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}) |
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# You can access the image with PIL.Image for example |
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import io |
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from PIL import Image |
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image = Image.open(io.BytesIO(image_bytes)) |
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``` |
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