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UrangDiffusion v3.1 - v1.1 thumbnail

UrangDiffusion V3.1 - V1.1

by ModelsLab

Training Configurations

Pretraining:

- Dataset size: ~35,000 images

- GPU: 1xA100

- Optimizer: AdaFactor

- Unet Learning Rate: 2.5e-6

- Text Encoder Learning Rate: 1.25e-6

- Batch Size: 48

- Gradient Accumulation: 1

- Epoch: 10

Finetuning:

- Dataset size: ~3,100 images

- GPU: 1xA100

- Optimizer: AdaFactor

- Unet Learning Rate: 2e-6

- Text Encoder Learning Rate: - (Train TE set to False)

- Batch Size: 48

- Gradient Accumulation: 1

- Epoch: 10

- Noise Offset: 0.0357

Added Series

Wuthering Waves, Zenless Zone Zero and hololiveEN -Justice-

urangdiffusion-v3-1-v1-1
Open Source ModelUnlimited UsageLLMs.txt
API PlaygroundAPI Documentation

Input

Select models...

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

Output

Idle

Unknown content type

About UrangDiffusion V3.1 - V1.1

Training ConfigurationsPretraining:- Dataset size: 35,000 images- GPU: 1xA100- Optimizer: AdaFactor- Unet Learning Rate: 2.5e-6- Text Encoder Learning Rate: 1.25e-6- Batch Size: 48- Gradient Accumulation: 1- Epoch: 10Finetuning:- Dataset size: 3,100 images- GPU: 1xA100- Optimizer: AdaFactor- Unet Learning Rate: 2e-6- Text Encoder Learning Rate: - (Train TE set to False)- Batch Size: 48- Gradient Accumulation: 1- Epoch: 10- Noise Offset: 0.0357Added SeriesWuthering Waves, Zenless Zone Zero and ho

Technical Specifications

Model ID
urangdiffusion-v3-1-v1-1
Provider
Modelslab
Task
AI Generation
Price
$0.0047 per API call
Added
June 4, 2025

Quick Start

Integrate UrangDiffusion V3.1 - V1.1 into your application with a single API call. Get your API key from the pricing page to get started.

import requests
import json
url = "https://modelslab.com/api/v6/images/text2img"
headers = {
"Content-Type": "application/json"
}
data = {
"model_id": "urangdiffusion-v3-1-v1-1",
"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

UrangDiffusion V3.1 - V1.1 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans

UrangDiffusion V3.1 - V1.1 FAQ

Training ConfigurationsPretraining:- Dataset size: ~35,000 images- GPU: 1xA100- Optimizer: AdaFactor- Unet Learning Rate: 2.5e-6- Text Encoder Learning Rate: 1.25e-6- Batch Size: 48- Gradient Accumulation: 1- Epoch: 10Finetuning:- Dataset size: ~3,100 images- GPU: 1xA100- Optimizer: AdaFactor- Unet

You can integrate UrangDiffusion V3.1 - V1.1 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-v1-1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

UrangDiffusion V3.1 - V1.1 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 UrangDiffusion V3.1 - V1.1 is "urangdiffusion-v3-1-v1-1". Use this ID in your API requests to specify this model.

Yes, ModelsLab offers a free tier that lets you try UrangDiffusion V3.1 - V1.1 and other AI models. Sign up to get free API credits and start building immediately.