import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Muapi/chilloutmix", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]ChilloutMix
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": "chilloutmix",
"width": 512,
"height": 512,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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