ModelsLab/KouseiXL - V0.1(Alpha)

kouseixl-v0-1-alpha

Text to Image Community ModelFree for Premium Users LLMs.txt

Welcome to the first iteration of Kousei (光星)!

This v0.1 is an experimental fusion. The U-Net is built with HassakuXL (Pony) forming a substantial part of its foundation (around 70%), blended with HassakuXL (Illustrious) Style A (around 30%). Crucially, the CLIP and VAE are from the HassakuXL (Illustrious) Style A version, aiming to guide the aesthetic towards its bright and distinct anime style.

What to Expect / Goals:

Pony U-Net Influence: Potential for strong character generation and expressive capabilities from the Pony-based U-Net components.

Illustrious CLIP/VAE Dominance: Expect the overall style, prompt interpretation, and aesthetic to be heavily influenced by the Illustrious CLIP and VAE. This means a brighter, more distinctly "anime" look.

Balanced Output: The aim is to find a compelling synergy, offering a visually appealing and versatile anime model.

Early Observations & Considerations:

Prompting: Due to the Illustrious CLIP, prioritize prompting strategies recommended for HassakuXL (Illustrious) Style A. This includes using "masterpiece" in positives and "worst quality, bad quality" in negatives.

The specific U-Net ratio (Pony 0.7, Illustrious 0.3) is an initial attempt to balance the strengths of both parent models under the guidance of the Illustrious CLIP.

Experimentation is key. Observe how the Pony U-Net elements interact with the Illustrious-driven aesthetic.

Your feedback on this initial version is crucial! Let me know how Kousei performs, particularly regarding prompt responsiveness and stylistic output. Enjoy creating!

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": "kouseixl-v0-1-alpha",
  "lora_model": [],
  "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