---
title: Astigmatism (formerly 'Semantic Shift') Astigmatism 0.2 API | ModelsLab | Stable Diffusion Xl AI Model | Model ID: astigmatism-formerly-semantic-shift-astigmatism-0-2
description: Discover Astigmatism (formerly 'Semantic Shift')   Astigmatism  0.2 API ModelsLab | AI Model. Advanced AI generation with Model ID: astigmatism-formerly-semantic-shift-astigmatism-0-2. Create stunning content using Astigmatism (formerly 'Semantic Shift')   Astigmatism  0.2 - Professional AI tools for developers and creators. Stable Diffusion Xl AI Model
url: https://modelslab.com/models/modelslab/astigmatism-formerly-semantic-shift-astigmatism-0-2
canonical: https://modelslab.com/models/modelslab/astigmatism-formerly-semantic-shift-astigmatism-0-2
type: product
component: Playground/Endpoint/Index
generated_at: 2026-01-20T14:30:52.996781Z
---

# Astigmatism (formerly 'Semantic Shift') Astigmatism 0.2 API | ModelsLab | Stable Diffusion Xl AI Model | Model ID: astigmatism-formerly-semantic-shift-astigmatism-0-2

> Discover Astigmatism (formerly 'Semantic Shift')   Astigmatism  0.2 API ModelsLab | AI Model. Advanced AI generation with Model ID: astigmatism-formerly-semantic-shift-astigmatism-0-2. Create stunning content using Astigmatism (formerly 'Semantic Shift')   Astigmatism  0.2 - Professional AI tools for developers and creators. Stable Diffusion Xl AI Model

## Model

### [Astigmatism (formerly 'Semantic Shift') - Astigmatism -0.2](https://modelslab.com/models/modelslab/astigmatism-formerly-semantic-shift-astigmatism-0-2)

**Model ID:** astigmatism-formerly-semantic-shift-astigmatism-0-2
**Category:** Stable Diffusion Xl
**Type:** Lora
**Provider:** Modelslab

So this is meant to be used inverted. Positive use is also possible with interesting results, mostly in that it will often create even greater prompt adherence, at the cost of potential creativity.In general, we're still at a pretty primitive stage: both of these 0.2 are trained with less than 60 images. Yet, their capabilities for generating interesting imagery with very little overtraining makes them quite interesting, in my opinion, and I plan to continue to grow out the process to see if we can hit a "generalization" point with diminishing returns.In any case, using this as a negative broadly improves the creative diversity of many prompts. It does somewhat decrease prompt adherence, at least it seems likely to me, but the increased diversity directly relates to its effectiveness in combatting overtraining issues within the model, and as such I suspect it has improved composition, in general, despite its "alternative" adherence.Note that, depending on the model, you may need to use very odd CFGs, especially if combined with Astigmatism 0.2 postivie.

Tags: style, overfitting, adherence, yolkhead, ablation

## Endpoint

### Text to Image Community Model

**Endpoint:** `v6/images/text2img`
**Provider:** Modelslab
**Category:** Image

Generate photorealistic and imaginative images from text prompts with advanced detail, inpainting, and image-to-image translation features, ideal for creatives and marketers.

Per image generation will cost 0.0047$ 
For premium plan image generation will cost 0.00$ i.e Free.

## API Docs

- [API Docs](https://modelslab.com/models/modelslab/astigmatism-formerly-semantic-shift-astigmatism-0-2/llms.txt)

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**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-01-20*