MengX Mix Real - V2
by ModelsLabV3:
1.提升质感，更加真实
2.调整色彩，明亮饱满
推荐参数：
1.采样器：
Euler a--AD(face:0.25-0.4,hand:0.25-0.35),
2M karras--AD(face:0.3-0.4,hand:0.3-0.35),
迭代步数：20-40，重绘幅度：0.2-0.4，CFG:7
2.采样器：
DPM++ 2M(3M) SDE Exponential，迭代步数：30-40，重绘幅度：0.3-0.65，CFG:3-7
AD(face:0.4-0.5,hand:0.35-0.4)
分辨率：512*(768-960)，放大算法：4x-UltraSharp or 8x_NMKD-Superscale_150000_G
负面词：(worst quality: 2), (low quality: 2), (normal quality: 2), lowres, watermark,
V3:
1. Improve texture and make it more realistic
2. Adjust the color to make it bright and full
Recommended parameters:
1. Sampler:
Euler a--AD(face:0.25-0.4,hand:0.25-0.35) 、
2M karras--AD(face:0.3-0.4,hand:0.3-0.35),
steps: 20-40，Denoising strength:0.2-0.4，CFG:7
2. Sampler:
DPM++ 2M(3M) SDE Exponential, steps: 30-40, Denoising strength: 0.3-0.65, CFG: 3-7 AD(face:0.4-0.5,hand:0.35-0.4)
Size: 512*(768-960),
Hires upscaler: 4x-UltraSharp or 8x_NMKD-Superscale_150000_G
Negative words: (worst quality: 2), (low quality: 2), (normal quality: 2), lowres, watermark,
这是一个融合模型，我平时用的比较多，喜欢可以试试，效果介于两种模型之间吧~
V1是我练习融合模型的产物，说不上好坏，因为有小伙伴想要，所以分享一下。
由于V1的手部很不稳定，所以我又根据我的喜好，对其进行了一次修整优化为V2模型。
我使用的模型：majicmix real+filmmoon
建议使用插件：ADetailer 来进行面部修复
负面关键词 ：ng_deepnegative_v1_75t ， badhandv4
我的负面常用词：(ng_deepnegative_v1_75t),(badhandv4),(worst quality:2),(low quality:2),(normal quality:2),lowres,bad anatomy,bad hands,normal quality,((monochrome)),((grayscale)),
This is a fusion model. I usually use it more. If you like, you can try it. The effect is somewhere between the two models~
V1 is the product of my practice fusion model. I can’t say it’s good or bad. Because some friends want it, so share it.
Since the hand of V1 was very unstable, so I refinished and optimized it into the V2 model according to my preferences.
Model I used: majicmix real+filmmoon
It is recommended to use the plug-in: ADetailer for facial repair
negative：ng_deepnegative_v1_75t ， badhandv4
my negative：(ng_deepnegative_v1_75t),(badhandv4),(worst quality:2),(low quality:2),(normal quality:2),lowres,bad anatomy,bad hands,normal quality,((monochrome)),((grayscale)),
mengxmixreal-v2Input
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 MengX Mix Real - V2
V3:1.提升质感，更加真实2.调整色彩，明亮饱满推荐参数：1.采样器：Euler a--AD(face:0.25-0.4,hand:0.25-0.35),2M karras--AD(face:0.3-0.4,hand:0.3-0.35),迭代步数：20-40，重绘幅度：0.2-0.4，CFG:72.采样器：DPM++ 2M(3M) SDE Exponential，迭代步数：30-40，重绘幅度：0.3-0.65，CFG:3-7AD(face:0.4-0.5,hand:0.35-0.4)分辨率：512(768-960)，放大算法：4x-UltraSharp or 8xNMKD-Superscale150000G负面词：(worst quality: 2), (low quality: 2), (normal quality: 2), lowres, watermark,V3:1. Improve texture and make it more realistic2. Adjust the color to make it bright and fullRecommended para
Technical Specifications
- Model ID
- mengxmixreal-v2
- Provider
- Modelslab
- Task
- AI Generation
- Price
- $0.0047 per API call
- Added
- May 21, 2025
Quick Start
Integrate MengX Mix Real - V2 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": "mengxmixreal-v2","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
MengX Mix Real - V2 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
MengX Mix Real - V2 FAQ
V3:1.提升质感，更加真实2.调整色彩，明亮饱满推荐参数：1.采样器：Euler a--AD(face:0.25-0.4,hand:0.25-0.35),2M karras--AD(face:0.3-0.4,hand:0.3-0.35),迭代步数：20-40，重绘幅度：0.2-0.4，CFG:72.采样器：DPM++ 2M(3M) SDE Exponential，迭代步数：30-40，重绘幅度：0.3-0.65，CFG:3-7AD(face:0.4-0.5,hand:0.35-0.4)分辨率：512*(768-960)，放大算法：4x-UltraSharp or 8x_NMKD-Supers
You can integrate MengX Mix Real - V2 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "mengxmixreal-v2" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
MengX Mix Real - V2 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 MengX Mix Real - V2 is "mengxmixreal-v2". Use this ID in your API requests to specify this model.
Yes, ModelsLab offers a free tier that lets you try MengX Mix Real - V2 and other AI models. Sign up to get free API credits and start building immediately.