Instructions to use Muapi/honkai-star-rail-all-in-one with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/honkai-star-rail-all-in-one with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/honkai-star-rail-all-in-one") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Honkai: Star Rail - All in One ζη©Ήιιε ¨θ§θ²
Base model: SDXL 1.0 Trained words: kafka_(honkai:star_rail) , march_7th(honkai:star_rail), stelle(honkai:star_rail), silver_wolf(honkai:star_rail), dan_heng(honkai:star_rail), caelus(honkai:star_rail), blade(honkai:star_rail), jingliu(honkai:star_rail), himeko(honkai:star_rail), bronya_rand, dan_heng(imbibitor_lunae)_(honkai:star_rail), seele(honkai:star_rail), fu_xuan(honkai:star_rail), herta(honkai:star_rail), jing_yuan, tingyun(honkai:star_rail), ruan_mei(honkai:star_rail), topaz(honkai:star_rail), pom-pom(honkai:star_rail), bailu(honkai:star_rail), clara(honkai:star_rail), asta(honkai:star_rail), black_swan(honkai:_star_rail)
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": "honkai-star-rail-all-in-one-ζη©Ήιιε
¨θ§θ²",
"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/honkai-star-rail-all-in-one
Base model
stabilityai/stable-diffusion-xl-base-1.0