Jelajahi dan integrasikan model AI seedvr2-image-upscale melalui MuAPI. Dapatkan inferensi berkecepatan tinggi dan harga kompetitif.
About this model
Model seedvr2-image-upscale menyediakan kemampuan generasi AI mutakhir di platform MuAPI.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| muapiapp | $0.02 per generation | muapiapp offers highly competitive pricing and is 20-50% more affordable compared to similar offerings by Fal.ai and Replicate, while delivering state-of-the-art image enhancement results. |
| Fal.ai | $0.03 per generation | Fal.ai charges approximately $0.03 per generation, making muapiapp a more cost-effective option without compromising on quality. |
| Replicate | $0.03 per generation | Replicate's pricing is similar to Fal.ai, with costs around $0.03 per generation. muapiapp is 20-50% cheaper while offering comparable or superior performance. |
muapiapp offers highly competitive pricing and is 20-50% more affordable compared to similar offerings by Fal.ai and Replicate, while delivering state-of-the-art image enhancement results.
Fal.ai charges approximately $0.03 per generation, making muapiapp a more cost-effective option without compromising on quality.
Replicate's pricing is similar to Fal.ai, with costs around $0.03 per generation. muapiapp is 20-50% cheaper while offering comparable or superior performance.
** Competitor pricing is estimated based on similar model architectures and usage tiers.
Configuration schema
| Parameter | Type | Description | Default |
|---|---|---|---|
| Gambar URL | string | InputGambar的 URL。 | https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/seedvr2-input.png |
| Resolusi | Enum (3 options) | HasilkanGambar的目标Resolusi。 | 4k |
InputGambar的 URL。
https://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/seedvr2-input.pngHasilkanGambar的目标Resolusi。
4kDeveloper documentation
Panduan integrasi cepat untuk seedvr2-image-upscale. Hubungkan dengan kunci API MuAPI Anda dan mulai lakukan panggilan inferensi.
Frequently asked
SeedVR2 能够处理多种图像问题,包括去模糊、去除伪影和放大低分辨率图像,因此适合不同类型图像的修复与增强任务。
该模型采用一步式扩散 Transformer 机制智能处理输入图像,能够识别并保留原始色彩平衡和复杂细节,同时执行增强操作,从而生成自然且高质量的结果。
用户可以从三种目标分辨率中进行选择:2k、4k 或 8k。默认分辨率为 4k,但可以根据具体需求进行调整。