Consistent Factor (Euclid) - Euclid (V5.1)
by ModelsLabEuclid V5.1 now includes updated models in the merge as well as some extra secret sauce.
I recommend using Hires Fix if possible as it really brings out the detail, I usually use a denoise strength of 0.15 - 0.25.
I also use the SD Ultimate Upscaler at a denoise strength of 0.1 - 0.2.
I'm also using the new DPM++ 2M SDE Karras sampler which seems to be a great upgrade vs DPM++2M Karras. Please note that at the moment DPM++ 2M SDE Karras may introduce artifacts to the image. On testing UniPC and DPM++2M Karras don't seem to have this problem.
consistentfactoreuclid-euclidv51Input
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 Consistent Factor (Euclid) - Euclid (V5.1)
Euclid V5.1 now includes updated models in the merge as well as some extra secret sauce.I recommend using Hires Fix if possible as it really brings out the detail, I usually use a denoise strength of 0.15 - 0.25.I also use the SD Ultimate Upscaler at a denoise strength of 0.1 - 0.2.I'm also using the new DPM++ 2M SDE Karras sampler which seems to be a great upgrade vs DPM++2M Karras. Please note that at the moment DPM++ 2M SDE Karras may introduce artifacts to the image. On testing UniPC and DPM
Technical Specifications
- Model ID
- consistentfactoreuclid-euclidv51
- Provider
- Modelslab
- Task
- AI Generation
- Price
- $0.0047 per API call
- Added
- May 21, 2025
Quick Start
Integrate Consistent Factor (Euclid) - Euclid (V5.1) 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": "consistentfactoreuclid-euclidv51","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
Consistent Factor (Euclid) - Euclid (V5.1) API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
Consistent Factor (Euclid) - Euclid (V5.1) FAQ
Euclid V5.1 now includes updated models in the merge as well as some extra secret sauce.I recommend using Hires Fix if possible as it really brings out the detail, I usually use a denoise strength of 0.15 - 0.25.I also use the SD Ultimate Upscaler at a denoise strength of 0.1 - 0.2.I'm also using th
You can integrate Consistent Factor (Euclid) - Euclid (V5.1) into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "consistentfactoreuclid-euclidv51" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
Consistent Factor (Euclid) - Euclid (V5.1) 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 Consistent Factor (Euclid) - Euclid (V5.1) is "consistentfactoreuclid-euclidv51". Use this ID in your API requests to specify this model.
Yes, ModelsLab offers a free tier that lets you try Consistent Factor (Euclid) - Euclid (V5.1) and other AI models. Sign up to get free API credits and start building immediately.