Instructions to use Muapi/dawn-pokemon-commission with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/dawn-pokemon-commission 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/dawn-pokemon-commission") 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
Dawn (γγ«γͺ) - Pokemon (γγ±γ’γ³) - COMMISSION
Base model: Pony Trained words: pokemondawn, lora:pokemon-dawn-anime-ponyxl-lora-nochekaiser:1, pokemon dawn, black hair, blue eyes, sidelocks, long hair,, bare shoulders, beanie, black shirt, black socks, bracelet, hat, jewelry, kneehighs, miniskirt, pink skirt, red scarf, scarf, shirt, skirt, sleeveless, sleeveless shirt, white headwear,
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": "dawn-pokemon-commission",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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