ModelsLab/Detailers By Stable Yogi - Super Detailer SDXL PONY

detailers-by-stable-yogi-super-detailer-sdxl-pony

Text to Image Community ModelFree for Premium Users LLMs.txt

Super-Detailer-By_Stable_yogi (Alpha Version) SDXL+PONY

XYZ Plots here https://civitai.com/posts/9194043

This LoRA is designed to bring out incredible details, especially for human subjects, and works seamlessly with both SDXL and PONY models. Whether you're creating lifelike portraits, enhancing realism, or refining intricate details, this model is built to elevate your art.

Key Features

Compatible with SDXL and PONY models, offering versatility across platforms.
Trained on 5000 curated images for enhanced realism and details.
Works best when kept under a weight of 0.8 for balanced results.
Note: In my testing, I found that it sometimes improves prompt adherence, depending on the prompt structure. Feel free to test and let me know your findings!

Tag List

Use these tags to unlock the model's potential:

intricate details
detailed face
detailed eyes
super-detailer-bsy
detailifier
detailed skin
detailed hair
hyper-detailed
ultra-detailed
detailed nude
sexiness enhancer

How to Use

Add the LoRA to your generation prompt using:
<lora:Super_Multi_Detailer_By_Stable_Yogi_A1:NUM>
Replace NUM with your desired weight (e.g., 0.8, 1.0, 1.2).
Use individual tags to enhance specific features or combine multiple tags for a layered effect.
For general use, simply include super-detailer-bsy.

Final Note

This is an Alpha version, and I’m actively working to refine and expand it. Feedback is incredibly valuable to me, so please share your results, suggestions, and ideas. Thank you !

API Playground API Documentation

API Endpoint URL

Base URL for all API requests to this endpoint.

https://modelslab.com/api/v6/images/text2img

API Authentication

Authentication requires a valid API key included in the request. Generate and manage your API keys from your developer dashboard. Include the key in the key parameter for all API requests.

Integration Examples

Production-ready code samples for API integration

{
  "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro",
  "model_id": "boziorealvisxlv4",
  "lora_model": "detailers-by-stable-yogi-super-detailer-sdxl-pony",
  "width": "1024",
  "height": "1024",
  "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry",
  "num_inference_steps": "31",
  "scheduler": "DPMSolverMultistepScheduler",
  "guidance_scale": "7.5",
  "enhance_prompt": false,
  "key": "YOUR_API_KEY"
}

SDKs

Official SDKs

Production-ready SDKs and client libraries for all major programming languages

JavaScript

Python

PHP

API Parameters

Technical specifications for API request parameters.

Field Name	Parameter	Technical Description
prompt	`prompt`	prompt help in image generation
Model	`model_id`	Enter model_id that can help in image generation
lora Model	`lora_model`	No description available
Width	`width`	width of the image
Height	`height`	height of the image
Negative Prompt	`negative_prompt`	Negative prompt help in avoid things that you do not want in image
Steps	`num_inference_steps`	Number of inference steps
Scheduler	`scheduler`	Sampling scheduler
Guidance Scale	`guidance_scale`	How closely to follow the prompt (1-10)
enhance_prompt	`enhance_prompt`	Automatically enhance the prompt