UrangDiffusion V3.1 - V1.2
by ModelsLabTraining Configurations
Finetuned from: Animagine XL 3.1
Pretraining:
Dataset size: ~23,500 images
GPU: 1xA100 80GB
Optimizer: AdaFactor
Unet Learning Rate: 3.75e-6
Text Encoder Learning Rate: 1.875e-6
Batch Size: 48
Gradient Accumulation: 1
Warmup steps: 100 steps
Min SNR: 5
Epoch: 10 (epoch 9 is used)
Finetuning:
Dataset size: ~6,800 images
GPU: 1xA100 80GB
Optimizer: AdaFactor
Unet Learning Rate: 2e-6
Text Encoder Learning Rate: - (Train TE set to False)
Batch Size: 48
Gradient Accumulation: 1
Warmup steps: 5%
Min SNR: 5
Epoch: 10
Noise Offset: 0.0357
Wuthering Waves, Zenless Zone Zero and hololiveEN -Justice- have been added to the model.
urangdiffusion-v3-1-v1-2Input
Per image generation will cost $0.0047.
Open-source models are included on the $149/month Open Source Unlimited plan. Third-party models are billed per generation on every plan.
Output
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About UrangDiffusion V3.1 - V1.2
Training ConfigurationsFinetuned from: Animagine XL 3.1Pretraining:Dataset size: 23,500 imagesGPU: 1xA100 80GBOptimizer: AdaFactorUnet Learning Rate: 3.75e-6Text Encoder Learning Rate: 1.875e-6Batch Size: 48Gradient Accumulation: 1Warmup steps: 100 stepsMin SNR: 5Epoch: 10 (epoch 9 is used)Finetuning:Dataset size: 6,800 imagesGPU: 1xA100 80GBOptimizer: AdaFactorUnet Learning Rate: 2e-6Text Encoder Learning Rate: - (Train TE set to False)Batch Size: 48Gradient Accumulation: 1Warmup steps: 5%Min S
Technical Specifications
- Model ID
- urangdiffusion-v3-1-v1-2
- Provider
- ModelsLab
- Task
- AI Generation
- Price
- $0.0047 per API call
- Added
- June 4, 2025
Quick Start
Integrate UrangDiffusion V3.1 - V1.2 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": "urangdiffusion-v3-1-v1-2","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
UrangDiffusion V3.1 - V1.2 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
UrangDiffusion V3.1 - V1.2 FAQ
Training ConfigurationsFinetuned from: Animagine XL 3.1Pretraining:Dataset size: ~23,500 imagesGPU: 1xA100 80GBOptimizer: AdaFactorUnet Learning Rate: 3.75e-6Text Encoder Learning Rate: 1.875e-6Batch Size: 48Gradient Accumulation: 1Warmup steps: 100 stepsMin SNR: 5Epoch: 10 (epoch 9 is used)Finetuni
You can integrate UrangDiffusion V3.1 - V1.2 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "urangdiffusion-v3-1-v1-2" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
UrangDiffusion V3.1 - V1.2 costs $0.0047 per API call. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.
The model ID for UrangDiffusion V3.1 - V1.2 is "urangdiffusion-v3-1-v1-2". Use this ID in your API requests to specify this model.
Yes. ModelsLab is subscription-based with no free tier — plans start at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generation across open-source models; premium third-party models are billed per call from your wallet.