real-humans

Model overview

real-humans is published by Muapi as a text-to-image LoRA. Hub tags list stabilityai/stable-diffusion-xl-base-1.0 as base model and adapter. According to the model card, it uses the trained words photo, portrait photo and is invoked through the MUAPI SDXL LoRA endpoint.

Recorded capabilities

Use cases in the source record

• Photo-style text-to-image generation with SDXL 1.0 workflows that include the documented trigger words.
• MUAPI-hosted inference experiments that call the publisher's documented SDXL LoRA image endpoint.

Limitations and unknowns

• No evaluation results were extracted from this record.
• No parameter count was extracted for this LoRA record.
• Provider state is historical snapshot data, not independently refreshed current availability.
• Photorealism and output quality come only from a brief publisher model card and have not been independently verified by Ethen.

Source and provenance

Source: Muapi/real-humans

Captured: Unknown. Processed: 2026-09-07T19:35:47.978088+00:00.

Real Humans Base model : SDXL 1.0 Trained words : photo, portrait photo 🧠 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" : "real-humans" , "lora_strength" : 1.0 , "width" : 1024 , "height" : 1024 , "num_images" : 1 } print (requests.post(url, headers=headers, json=payload).json())