Astigmatism (Formerly 'Semantic Shift') - Astigmatic Correction 0.1
by ModelsLabThis 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.
astigmatism-formerly-semantic-shift-astigmatic-correction-0-1Input
Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.
Output
Unknown content type
Related Models
Discover similar models you might be interested in
About Astigmatism (Formerly 'Semantic Shift') - Astigmatic Correction 0.1
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:Pil
Technical Specifications
- Model ID
- astigmatism-formerly-semantic-shift-astigmatic-correction-0-1
- Provider
- Modelslab
- Task
- AI Generation
- Price
- $0.0047 per API call
- Added
- July 8, 2025
Quick Start
Integrate Astigmatism (Formerly 'Semantic Shift') - Astigmatic Correction 0.1 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-astigmatic-correction-0-1","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}")
View the full API documentation for SDKs, code examples in Python, JavaScript, and more.
Pricing
Astigmatism (Formerly 'Semantic Shift') - Astigmatic Correction 0.1 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
Astigmatism (Formerly 'Semantic Shift') - Astigmatic Correction 0.1 FAQ
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
You can integrate Astigmatism (Formerly 'Semantic Shift') - Astigmatic Correction 0.1 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "astigmatism-formerly-semantic-shift-astigmatic-correction-0-1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
Astigmatism (Formerly 'Semantic Shift') - Astigmatic Correction 0.1 costs $0.0047 per API call. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.
The model ID for Astigmatism (Formerly 'Semantic Shift') - Astigmatic Correction 0.1 is "astigmatism-formerly-semantic-shift-astigmatic-correction-0-1". Use this ID in your API requests to specify this model.
Yes, ModelsLab offers a free tier that lets you try Astigmatism (Formerly 'Semantic Shift') - Astigmatic Correction 0.1 and other AI models. Sign up to get free API credits and start building immediately.