---
title: aniversev2
canonical_url: "https://www.modelscope.cn/models/stablediffusionapi/aniversev2"
md_url: "https://www.modelscope.cn/models/stablediffusionapi/aniversev2.md"
repository: stablediffusionapi/aniversev2
last_updated: 2025-08-29
license: creativeml-openrail-m
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
parameters: 1.1B
tensor_type:
  - F16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 112
stars: 0
tags:
  - modelslab.com
  - stable-diffusion-api
  - text-to-image
  - ultra-realistic
---

# aniversev2

> aniversev2 - stablediffusionapi 在 ModelScope 开源的模型。AniVersev2 API Inference

stablediffusionapi/aniversev2 是 ModelScope 魔搭社区上的 1.1B 参数text-to-image-synthesis模型，采用 creativeml-openrail-m 许可。

- **Repository**: stablediffusionapi/aniversev2
- **License**: creativeml-openrail-m
- **Tasks**: text-to-image-synthesis
- **Parameters**: 1.1B
- **Tags**: modelslab.com, stable-diffusion-api, text-to-image, ultra-realistic
- **Downloads**: 112
- **Stars**: 0
- **Last updated**: 2025-08-29

Source: https://www.modelscope.cn/models/stablediffusionapi/aniversev2

---

# AniVersev2 API Inference

<Gallery />

## Get API Key

Get API key from [ModelsLab API](http://modelslab.com), No Payment needed. 

Replace Key in below code, change **model_id**  to "aniversev2"

Coding in PHP/Node/Java etc? Have a look at docs for more code examples: [View docs](https://docs.modelslab.com)

Try model for free: [Generate Images](https://modelslab.com/models/aniversev2)

Model link: [View model](https://modelslab.com/models/aniversev2)

View all models: [View Models](https://modelslab.com/models)

```python
import requests  
import json  
  
url = "https://modelslab.com/api/v6/images/text2img"  
  
payload = json.dumps({  
"key": "your_api_key",  
"model_id": "aniversev2",  
"prompt": "ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in-frame, 8K",  
"negative_prompt": "painting, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, deformed, ugly, blurry, bad anatomy, bad proportions, extra limbs, cloned face, skinny, glitchy, double torso, extra arms, extra hands, mangled fingers, missing lips, ugly face, distorted face, extra legs, anime",  
"width": "512",  
"height": "512",  
"samples": "1",  
"num_inference_steps": "30",  
"safety_checker": "no",  
"enhance_prompt": "yes",  
"seed": None,  
"guidance_scale": 7.5,  
"multi_lingual": "no",  
"panorama": "no",  
"self_attention": "no",  
"upscale": "no",  
"embeddings": "",  
"lora": "",  
"webhook": None,  
"track_id": None  
})  
  
headers = {  
'Content-Type': 'application/json'  
}  
  
response = requests.request("POST", url, headers=headers, data=payload)  
  
print(response.text)
```

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