import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Kvikontent/midjourney-v7")
prompt = "ed sheeran made of thnderstorm clouds, lights, thunder, rain, particles"
image = pipe(prompt).images[0]Midjourney V7
Midjourney is most realistic and powerful ai image generator in the world. Here is is the first ever release of version 7
Examples
- Prompt
- ed sheeran made of thnderstorm clouds, lights, thunder, rain, particles
- Prompt
- man on the yeacht, particles, photoreal style
- Prompt
- A professional photo of a woman in blue particles
Usage
You can use this model using huggingface Interface API:
import requests
API_URL = "https://api-inference.huggingface.co/models/Kvikontent/midjourney-v7"
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))
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Model tree for Kvikontent/midjourney-v7
Base model
runwayml/stable-diffusion-v1-5