Instructions to use Muapi/nico-robin-post-timeskip-one-piece with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/nico-robin-post-timeskip-one-piece with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/nico-robin-post-timeskip-one-piece") 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
Nico Robin (Post-TimeSkip) [One Piece]
Base model: Illustrious Trained words: nicorobin, nicorobin, 1girl, long hair, hair slicked back, black hair, blue eyes, big breasts, cleavage, midriff, jacket, black jacket, cropped jacket, panties, black panties, thighhighs, orange thighhighs, boots, knee boots, gloves, purple gloves, headphones
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": "nico-robin-post-timeskip-one-piece",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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Model tree for Muapi/nico-robin-post-timeskip-one-piece
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