UrangDiffusion V3.1 - V3.1
by ModelsLabUrangDiffusion XL v3.1 is fine-tuned from Animagine XL 4.0 Base (not Zero). This 4.0 Base model serves as the base model pre-trained for the final release of Animagine XL 4.0 (not the Opt version).
I have received permission from the team to fine-tune the base model using my own method and release it under the UrangDiffusion series.
Base model: Animagine XL 4.0 Base
Fine-tuning details:
Dataset size: ~1,600 images
GPU: 1× A100 80GB
Optimizer: AdaFactor
UNet learning rate: 1.25e-6
Text encoder learning rate: N/A (disabled)
Batch size: 48
Gradient accumulation: 1
Warmup steps: 5%
Minimum SNR: 5
Epochs: 15
Due to some quirks of the model, please keep the following in mind:
v3.0 may perform better with anatomy
v3.1 may perform better with more fluid poses
If you encounter anatomical issues at 28 steps, try lowering to 27 or increasing to 29. If it improves but isn’t perfect, continue adjusting slightly up or down. If the result worsens, the previous step count was likely the optimal one.
UPDATE [19/04/2025]
Some generations are stable at step 30++ with Euler a. You might wanna crank up the steps a bit.
Some generations are also better with
realistic, 3dincluded in the negative. Try that too.
urangdiffusion-v3-1-v3-1Input
Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.
Output
Unknown content type
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About UrangDiffusion V3.1 - V3.1
UrangDiffusion XL v3.1 is fine-tuned from Animagine XL 4.0 Base (not Zero). This 4.0 Base model serves as the base model pre-trained for the final release of Animagine XL 4.0 (not the Opt version).I have received permission from the team to fine-tune the base model using my own method and release it under the UrangDiffusion series.Base model: Animagine XL 4.0 BaseFine-tuning details:Dataset size: 1,600 imagesGPU: 1× A100 80GBOptimizer: AdaFactorUNet learning rate: 1.25e-6Text encoder learning ra
Technical Specifications
- Model ID
- urangdiffusion-v3-1-v3-1
- Provider
- Modelslab
- Task
- AI Generation
- Price
- $0.0047 per API call
- Added
- June 4, 2025
Quick Start
Integrate UrangDiffusion V3.1 - V3.1 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": "urangdiffusion-v3-1-v3-1","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 - V3.1 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
UrangDiffusion V3.1 - V3.1 FAQ
UrangDiffusion XL v3.1 is fine-tuned from Animagine XL 4.0 Base (not Zero). This 4.0 Base model serves as the base model pre-trained for the final release of Animagine XL 4.0 (not the Opt version).I have received permission from the team to fine-tune the base model using my own method and release it
You can integrate UrangDiffusion V3.1 - V3.1 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-v3-1" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
UrangDiffusion V3.1 - V3.1 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 - V3.1 is "urangdiffusion-v3-1-v3-1". Use this ID in your API requests to specify this model.
Yes, ModelsLab offers a free tier that lets you try UrangDiffusion V3.1 - V3.1 and other AI models. Sign up to get free API credits and start building immediately.