Instructions to use Muapi/multiple-views-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/multiple-views-concept 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/multiple-views-concept") 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
Multiple Views - Concept
Base model: Illustrious Trained words: lora:multiple-views-v9-illustriousxl-lora-nochekaiser:1, multiple views, looking at viewer, blush, smile, open mouth, 1boy, navel, nipples, collarbone, hetero, heart, sweat, nude, one eye closed, sex, grin, completely nude, grabbing, grabbing another's breast, motion lines, sex from behind, all fours, towel, fingering, doggystyle, grabbing from behind, happy sex, naked towel, sheet grab, reach-around,
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": "multiple-views-concept",
"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/multiple-views-concept
Base model
KBlueLeaf/kohaku-xl-beta5