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English | 简体中文
Image Generation Model
Now FastDeploy supports the deployment of the following style transfer models in the PaddleHub pre-trained model repository
| Model | Description | Model Format | 
|---|---|---|
| animegan_v1_hayao_60 | Convert the input image into one in Miyazaki anime style with model weights converting from AnimeGAN V1 official open source project | paddle | 
| animegan_v2_paprika_97 | Convert the input image into one in Satoshi Paprika anime style with model weights converting from AnimeGAN V2 official open source project | paddle | 
| animegan_v2_hayao_64 | Convert the input image into one in Miyazaki anime style with model weights converting from AnimeGAN V2 official open source project | paddle | 
| animegan_v2_shinkai_53 | Convert the input image into one in Shinkai anime style with model weights converting from AnimeGAN V2 official open source project | paddle | 
| animegan_v2_shinkai_33 | Convert the input image into one in Shinkai anime style with model weights converting from AnimeGAN V2 official open source project | paddle | 
| animegan_v2_paprika_54 | Convert the input image into one in Satoshi Paprika anime style with model weights converting from AnimeGAN V2 official open source project | paddle | 
| animegan_v2_hayao_99 | Convert the input image into one in Miyazaki anime style with model weights converting from AnimeGAN V2 official open source project | paddle | 
| animegan_v2_paprika_74 | Convert the input image into one in Satoshi Paprika anime style with model weights converting from AnimeGAN V2 official open source project | paddle | 
| animegan_v2_paprika_98 | Convert the input image into one in Satoshi Paprika anime style with model weights converting from AnimeGAN V2 official open source project | paddle | 
Speed comparison between hub and FastDeploy paddle backend Deployment (ips, higher is better)
| Device | FastDeploy | Hub | 
|---|---|---|
| CPU | 0.075 | 0.069 | 
| GPU | 8.33 | 8.26 | 
Downloading pre-trained models
Use fastdeploy.download_model to download models. For example, download animegan_v1_hayao_60
import fastdeploy as fd
fd.download_model(name='animegan_v1_hayao_60', path='./', format='paddle')
The pre-trained model of animegan_v1_hayao_60 will be available in the current directory.