This algorithm seems to only work with standard SD？

[jianyuheng]

I tried it on the community model and got poor generation results.

[hutaiHang]

I tried it on the community model and got poor generation results.

Can you provide more information? What kind of model? We have tested our method on SDXL, SD 2.0, and others, and it works well. We only need to adjust the hyperparameter `key timestep｀，and we will release all the code later.

[hutaiHang]

I tried it on the community model and got poor generation results.

We tested our approach in the community model Realistic Vision V6.0 B1, and achieved good results when uniformly setting the keytime at a 1:4 ratio, as shown in the figure below:

The prompt used was:"adorable Corgi wearing a hat is sitting next to a Christmas tree."

[jianyuheng]

Sorry for late reply. I tried rev-v12 inference with Faster Diffusion and got bad results.

[hutaiHang]

Sorry for late reply. I tried rev-v12 inference with Faster Diffusion and got bad results.

Thanks for your feedback. We just tested the rev-v12 model. When uniformly setting the keytime at a 1:4 ratio , it stil
works well, as shown in the following figure. So there may be some hyperparameter configuration errors for you. Please refer to our latest updated code

[jianyuheng]

@hutaiHang Sorry I left out some details. My scheduler is EulerAncestralDiscreteScheduler and I guess this is the key to not working.