
This is a Dreamboothed Stable Diffusion model trained on pictures of mosaic art.
The total dataset is made of 46 pictures, and the training has been done on runawayml 1.5 and the new VAE. I used EveryDream to do the training, using full caption on the pictures with almost no recurring word outside the main concept, so that no additionnal regularisation was needed. Out of e0 to e11 epochs, e8 was selected as the best application of style while not overtraining. Prior preservation was constated as good. A total of 9 epochs of 40 repeats with a learning rate of 1e-6.
The token "Mosaic Art" will bring in the new concept, trained as a style.
The recommended sampling is k_Euler_a or DPM++ 2M Karras on 20 steps, CFGS 7.5 .
描述:
The total dataset is made of 46 pictures. V2 was trained on Stable diffusion 2.1 768. I used StableTuner to do the training, using full caption on the pictures with almost no recurring word outside the main concept. 6 epochs of 40 repeats on LR 1e-6 were used, with prior preservation.
训练词语: Mosaic Art
名称: mosaicArt_v2768.ckpt
大小 (KB): 2546494
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: **Detected Pickle imports (3)**
```
torch._utils._rebuild_tensor_v2
torch.HalfStorage
collections.OrderedDict
```
病毒扫描结果: Success
名称: mosaicArt_v2768_trainingData.zip
大小 (KB): 152746
类型: Training Data
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success