Waifu Diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality anime images through fine-tuning.
The model originally used for fine-tuning is Stable Diffusion 1.4, which is a latent image diffusion model trained on LAION2B-en. The current model has been fine-tuned with a learning rate of 5.0e-6 for 10 epochs on 680k anime-styled images.
See here for an in-depth overview of Waifu Diffusion 1.3.
Team Members and Acknowledgements
This project would not have been possible without the incredible work by the CompVis Researchers.
In order to reach us, you can join our Discord server.
Originally posted to HuggingFace
描述:
Trained on SD v1.4
训练词语: temp
名称: waifuDiffusion_v12.ckpt
大小 (KB): 2082867
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: **Detected Pickle imports (7)**
```
numpy.core.multiarray.scalar
_codecs.encode
torch._utils._rebuild_tensor_v2
torch.FloatStorage
numpy.dtype
torch.HalfStorage
collections.OrderedDict
```
病毒扫描结果: Success
