Comments (5)
yeah of course, there is quite a detail that we can use to implement it, this is great.
but why are you using ViT to encode the images, from the original CM3leon paper, they used VQGAN to tokenize the images. and i didn't see where you are using the tokenizer you build in the in the cm3 directory.
i will like to contribute, but there are some things that i didn't understand actually.
it seems the train.py is not tested.
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Hey @BoghosDavtyan Nope it isn't. Unfortunately it's up to us to implement it
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@kyegomez What do you mean by "implement it". How are we supposed to implement something that we don't have access too?
Based on the research paper which we do have access to.
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@kyegomez What do you mean by "implement it". How are we supposed to implement something that we don't have access too?
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@Al-aminI Your right they do used VQGAN as an encoder, but I just used a vit for simplicity. I'm very open minded to refactoring this to use VQGAN if you can help me
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Related Issues (15)
- Finetuning on custom dataset HOT 2
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- Generate an image
- Hello, may I ask if the model will be open source? HOT 1
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- Error while processing rearrange-reduction pattern HOT 1
- Cannot access to your paper file?
- Will the pre-trained model checkpoint or finetune-checkpoint you trained open๏ผ HOT 1
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