Astigmatism (Formerly 'Semantic Shift') - Astigmatism -0.2
by ModelsLabSo 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.
astigmatism-formerly-semantic-shift-astigmatism-0-2Input
Output
Unknown content type
Looking for something different?
Models that trade off differently against the one you are viewing
Better quality
Newer flagship models that generally produce stronger results.
Faster Generation
Built for speed when you are iterating on a prompt.
Related Models
Discover similar models you might be interested in
About Astigmatism (Formerly 'Semantic Shift') - Astigmatism -0.2
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
Technical Specifications
- Model ID
- astigmatism-formerly-semantic-shift-astigmatism-0-2
- Provider
- ModelsLab
- Task
- AI Generation
- Price
- $0.0047 per API call
- Added
- July 8, 2025
Quick Start
Integrate Astigmatism (Formerly 'Semantic Shift') - Astigmatism -0.2 into your application with a single API call. Get your API key from the pricing page to get started.
import requestsimport jsonurl = "https://modelslab.com/api/v6/images/text2img"headers = {"Content-Type": "application/json"}data = {"model_id": "astigmatism-formerly-semantic-shift-astigmatism-0-2","prompt": "your prompt here","key": "YOUR_API_KEY"}try:response = requests.post(url, headers=headers, json=data)response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX)result = response.json()print("API Response:")print(json.dumps(result, indent=2))except requests.exceptions.HTTPError as http_err:print(f"HTTP error occurred: {http_err} - {response.text}")except Exception as err:print(f"Other error occurred: {err}")
Pricing
Astigmatism (Formerly 'Semantic Shift') - Astigmatism -0.2 API costs $0.0047 per API call. Plans start at $21/month, and open-source models are unlimited on the $149/month plan. View pricing plans