Originally posted to HuggingFace by Hamaru and shared on Reddit.
Hypernetwork trained on some Midjourney V4 portraits.
Euler a and DPM++ samplers work best. CFG scale at 7 and low step count (<50) work well.
Prompts should include words like "portrait", "octane render" and "highly detailed" for best results. Avoid using face restoration like GFPGAN or CodeFormer if possible
描述:
训练词语: portrait,octane render,highly detailed
名称: mjv4Hypernetwork_v1.pt
大小 (KB): 112502
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: **Detected Pickle imports (3)**
```
torch.FloatStorage
torch._utils._rebuild_tensor_v2
collections.OrderedDict
```
病毒扫描结果: Success
