Instructions to use Muapi/kim-possible-pony-illustrious with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/kim-possible-pony-illustrious with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/kim-possible-pony-illustrious") 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
Kim Possible Pony + Illustrious
Base model: Pony Trained words: KimP, 1girl, solo, black turtleneck, long hair, midriff, green eyes, black gloves, green pants, orange hair, black footwear,belt,pouch, KimP, 1girl, orange hair, solo, green eyes, long hair, skirt, midriff, crop top, sleeveless, KimP, 1girl, solo, green eyes, navel, backpack, midriff, bag, long hair, orange hair, blue pants, green tank top
π§ Usage (Python)
π Get your MUAPI key from muapi.ai/access-keys
import requests, os
url = "https://api.muapi.ai/api/v1/sdxl-lora-image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality",
"lora_model": "kim-possible-pony-illustrious",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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