Instructions to use Muapi/mikan-game with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/mikan-game 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/mikan-game") 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
mikan game
Base model: Pony Trained words: 1girl,gigantic breasts,solo,purple hair,areola slip,purple eyes,very long hair,bare shoulders,blush,straight hair,blunt bangs,looking at viewer,off-shoulder sweater,ribbed sweater,shiny skin,cleavage,yui zaizen,black pantyhose,standing,, 1girl,gigantic breasts,solo,purple hair,areola slip,purple eyes,very long hair,bare shoulders,blush,straight hair,blunt bangs,looking at viewer,shiny skin,cleavage,yui zaizen,black pantyhose,standing,playboy bunny,black leotard,red bow,, 1girl,gigantic breasts,solo,purple hair,purple eyes,very long hair,bare shoulders,blush,straight hair,blunt bangs,looking at viewer,shiny skin,cleavage,yui zaizen,pom pom (cheerleading),cheerleader,blue skirt,yellow bikini,covered nipples,, 1girl,gigantic breasts,purple hair,purple eyes,very long hair,blush,straight hair,blunt bangs,looking at viewer,yui zaizen,nurse,black thighhighs,white gloves,standing,pink dress,red cross,
๐ง Usage (Python)
๐ 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": "mikan-game",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
- Downloads last month
- -
