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/views-composition")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Views & Composition
Base model: SDXL 1.0 Trained words: front_view, 2/3_front, 1/3_front, side_view, 1/3_back, 2/3_back, back_view, eye_level, higher_angle, high_angle, lower_angle, low_angle, top_down, bottom_up, drone_view, wide_angle, full_body, upper_body, lower_body, upper_3/4, feet_out, chest_up, head_only, comp_left, comp_center, comp_right, comp_top, comp_bottom, d_short, d_medium, d_long, d_far, asymmetrical, H_symmetrical, L_symmetrical, centrosymmetric, face_invisible
🧠 Usage (Python)
🔑 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": "views-composition",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
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