Arslan Artykov

Results 10 comments of Arslan Artykov

@iariav, @Wenchao-Du, @VitorGuizilini-TRI I've implemented the Reprojected Distance Loss function and pull requested. Hopefully, it will satisfy your needs. Best regards!

Hey @rashikshrestha, sorrry for the late reply. I made some changes in the docker file in order to adapt the library versions according to my GPU type and etc. After...

Hey, @huanglianghua congrats on the great work. Currently, I am trying to implement the paper onto the stable diffusion. My question is, what does the following sentence mean; "Project image...

Hey @huanglianghua! Thanks for your feedback! And I also similarly projected text embeddings to a shape of (B, 77*768) and added it to timestep embedding of shape (B, 4 *...

Dear all, I am excited to announce that I have begun implementing a lightweight Latent Composer based on the stable diffusion model. I have already completed the majority of the...

> > Dear everyone, > > I wanted to take a moment to provide an update on our plans for Composer's open source release. We have been working hard to...

> > > > Dear everyone, > > > > I wanted to take a moment to provide an update on our plans for Composer's open source release. We have...

> Dear all, > > I am excited to announce that I have begun implementing a lightweight Latent Composer based on the stable diffusion model. I have already completed the...

It should generate 2 different outputs, one with fast movement and another with a slow one. At least, it is so in my case.

Try setting "parser.add_argument("--pretrained_model_path", type=str, default="models/StableDiffusion/stable-diffusion-v1-5.safetensors",) " default path to "models/StableDiffusion". It should solve your problem.