SDXL-richyrichmixixl_V1Fp16

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SDXL-richyrichmixixl_V1Fp16 is an image generation model (SDXL) on Arli AI. It supports image-to-image, inpainting, ControlNet, IP-Adapter. Generate images through the SDNext-compatible Arli AI image API with unlimited requests and zero-log privacy.

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Hourly Usage

Model Information

Recommended Prompt

masterpiece, best quality, absurdres, highres, newest

Model Type

SDXL

Model Class

SDXL

Recommended Sampler

Euler a

Recommended Steps

20

Recommended CFG

6

CLIP Skip

1

Requests (24h)

2

Requests (7d)

30

Capabilities

Image to image, Inpainting, ControlNet, IP-Adapter

Extra Info

Recommended to use "booru style" prompting like 1girl, solo, sitting, arms behind head

Added At

8/13/2025

Recommended Negative Prompt

worst quality, low quality, worst aesthetic, old, early, blurry, lowres, signature, artist name, watermark, twitter username, sketch, logo, furry, text, speech bubble, censored, ai-generated

Use SDXL-richyrichmixixl_V1Fp16 with the Arli AI API

Generate images with SDXL-richyrichmixixl_V1Fp16 through the OpenAI-style image endpoint. Send sd_model_checkpoint as the model name and the API renders the result without logging your prompts.

cURL

curl -X POST https://api.arliai.com/v1/txt2img \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $ARLIAI_API_KEY" \
  -d '{
    "sd_model_checkpoint": "SDXL-richyrichmixixl_V1Fp16",
    "prompt": "a red fox in fresh snow, cinematic light",
    "negative_prompt": "lowres, bad anatomy, watermark",
    "steps": 20,
    "sampler_name": "Euler a",
    "cfg_scale": 6,
    "width": 1024,
    "height": 1024
  }'

Python

import requests

response = requests.post(
    "https://api.arliai.com/v1/txt2img",
    headers={"Authorization": "Bearer YOUR_ARLIAI_API_KEY"},
    json={
        "sd_model_checkpoint": "SDXL-richyrichmixixl_V1Fp16",
        "prompt": "a red fox in fresh snow, cinematic light",
        "steps": 20,
        "sampler_name": "Euler a",
        "cfg_scale": 6,
        "width": 1024,
        "height": 1024,
    },
)
print(response.json())

See the image generation docs for every parameter, or read the quick start guide to make your first request.