This model was trained on 21 images of actress Ana de Armas. It was trained in sd1.5, so works best in photorealistic models, and also works best in close shots. For longer distances, upscaling and inpainting seem to work okay. One outift in particular in the training data can overpower the images, so if you notice some metallic or rainbow vertical banding, lower the hypernetwork strength. I get results that I like around .7 in Protogen, though most of my samples were at full strength in an older model of mine
Edit: Added a few Astronaut Anas made with Protogen x5.3 to fill out the 20 image limit.
描述:
训练词语:
名称: anadearmasPt_anadearmasPtv1.pt
大小 (KB): 85713
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: **Detected Pickle imports (3)**
```
collections.OrderedDict
torch._utils._rebuild_tensor_v2
torch.FloatStorage
```
病毒扫描结果: Success
