-
once i get "you don't have state dict", i can't generate an image with the sd model that is set, even if i complete the state dict, due to "'NoneType' object has no attribute 'sd_checkpoint_info'"
on…
-
Can you explain why encoder_hidden_state is used in the motion module? The motion module as expressed in the paper is a vanilla temporal attention, not cross-attention.
![image](https://github.com/gu…
-
Great work on this - lots of improvements - this is a great, and memory efficient approach.
when I navigate to the sd-turbo model using the provided link there is no feature_extractor. I used the s…
-
[RU]Решение ошибки: NansException: A tensor with all NaNs was produced in Unet.
[EN]Bug fix: NansException: A tensor with all NaNs was produced in Unet.
![browser_4a5t8angEl](https://github.com/AUTO…
-
Migrated a utility from Automatic1111 API to Stable Forge API and noticed that existing logic to detect failed all-black image results continues to work in Automatic1111 but not Stable Forge.
Diggi…
-
有什么数学解释说明采用Reference Image的信息用Spatial-Attention和Cross-Attention编码到Pose Sequence的Denoising UNet里面的方法比反过来更有优势吗
-
### 🚀 The feature, motivation and pitch
I'm working on ensembling multiple UNet with the method mentioned in [MODEL ENSEMBLING
](https://pytorch.org/tutorials/intermediate/ensembling.html). This met…
-
In my case, I need to do img2img on multiple images, I saw the parameter "image" can be a list of PIL.image.iamge but when I used a list of images as input, I got an error like below.
> File "/mnt/…
-
### 🐛 Bug
Applying `thunder.jit` to the `AutoEncoder` stage in NeMo's Stable Diffusion is slower than the eager mode (takes 0.198s per train step) where as `thunder.jit` 0.242s takes per step.
…
-
### Is there an existing issue for this problem?
- [X] I have searched the existing issues
### Operating system
Linux
### GPU vendor
Nvidia (CUDA)
### GPU model
_No response_
#…