ModelsLab/ParchartXL

parchartxl

Text to Image Community ModelFree for Premium Users LLMs.txt

ParchartXL - art on parchment

The unifying theme of this LoRA is the substrate - parchment. Just add 'on parchment' to any prompt!

2.0 update: After quite a few iterations, this model is finally approaching what always was my vision for it - a warm-toned, textured substrate with an art style of ink or pencil and watercolor or colored pencil that responds to a wide range of prompts.

The parchment texture in early iterations of the LoRA were spot on, but the illustration style much more chaotic and messy than I wanted. As I refined the illustration style, I lost consistency of the parchment appearance too often. But with 1.5 I got much closer, though the illustration style moved a bit further from my target. And in 2.0 it finally all comes together. This is the style I have been aiming to present since I started training this odd thing.

I can see it taking potentially one more version, as I revisit the idea of training on old maps, to bring some authentic-looking cartography. It's a very niche interest - but that would be my ideal form for ParchArt.

If you want a bolder illustration style, I recommend using this LoRA at 1.0 strength in conjunction with Eldritch Comics at a lower strength, around 0.5

Have some need to generate just a blank sheet of parchment? Check out the version 0.5 I uploaded here as well. Pretty niche kind of thing, but it's yours if you want it!

I'm happy to share my work for free, just as the base model SDXL came free to us all. But if you felt compelled to offer some material form of thanks, you can buy me a coffee, or you can buy my (darn near unreadable, I warn you) short story 'Willem & Ellene'.

Author: eldritchadam

https://civitai.com/models/141471/parchartxl

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": "parchartxl",
  "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