ModelsLab/Astigmatism (Formerly 'Semantic Shift') - Astigmatic Correction 0.1

astigmatism-formerly-semantic-shift-astigmatic-correction-0-1

Text to Image Community ModelFree for Premium Users LLMs.txt

This is my first attempt at using my method of diversifying overtrained areas in the core SDXL model to try to coax out more "intelligence" in the model.This obviously is challenging to do with LoRas, and a checkpoint fine-tune would be a LOT more effective, but mostly I'm just testing out the idea and seeing what can happen with this.This first LoRa is just 45 images, and the correction targets only 10 specific overtrained areas, with each prompt getting a few images to diversify its output:Pillars of CreationThe Birth of VenusFlaming JuneIrises in Monet's GardenA Sunday Afternoon on the Island of La Grande JatteGirl with a Pearl EarringThe Mona LisaAbbey RoadLiberty Leading the PeopleThe ScreamNote that this one wasn't semantically perfect, or rather, the correction wasn't as strict as I'd like to apply in the future if I were to actually see what I can do with this method in terms of improving prompt understanding. It's my thought that these overtrained images directly affect the semantic understanding of the model, which can be partially corrected for.In this case, the images included tried to keep elements of the semantic meaning of the titles above, but in some cases this may not have been as strict or obvious as I'd like in order to guide the model the way I want to.

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": "astigmatism-formerly-semantic-shift-astigmatic-correction-0-1",
  "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"
}

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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