Instructions to use Muapi/realistic-vision-v51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/realistic-vision-v51 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Muapi/realistic-vision-v51", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
license: openrail++
library_name: diffusers
tags:
- text-to-image
- stable-diffusion
- sd-1.5
pipeline_tag: text-to-image
Realistic Vision V5.1
Base model: SD 1.5
Originally published by stablediffusionapi. Mirrored here for use with muapi.ai — a unified API for generative media.
🧠 Usage via muapi.ai
🔑 Get your MUAPI key from muapi.ai/access-keys
import requests, os
url = "https://api.muapi.ai/api/v1/sd-image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality",
"model": "realistic-vision-v51",
"width": 512,
"height": 512,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())