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Hi,
Can we train the autoencoder only, by fixing the ddim?
I want to train an autoencoder on a feature vector of size 64x64x256 and expect to get the z_sem which can work with the pretrained ddim. …
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Hello, thank you for sharing your excellent project! I wanted to use the model in real-time, so I wrote the following code to perform real-time inference using the model you provided. However, the fra…
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Well, I find that the work of this project is relatedto the paper “Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models” ( https://arxiv.org/pdf/2206.03461) with different …
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Dear authors:
Thank you for opensourcing your great work RCG.
However, I have noticed that:
1. A closely related technique called self-conditioning (NO clustering is performed, in contrast to 3, 34,…
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Can you provide inference scripts for semantic image synthesis and layout-to-image synthesis? I tried to use data loaders from the ``taming-transformers`` repo but got random noise outputs. The evalua…
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Hi @rromb, @ablattmann, @pesser, and thank you for making your great work publicly available.
Could you please supply the code for the class `ldm.data.openimages.SuperresOpenImagesAdvancedTrain`/`V…
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### System Info
```shell
docker run -it --name sd --runtime=habana -v /home/sd/:/data/ -e "http_proxy=$http_proxy" -e "https_proxy=$https_proxy" -e "no_proxy=localhost,127.0.0.1" -e HABANA_VISIBLE…
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In the section 'Model Training ' , the autoencoder and ldm model can be trained, but I can not found the script use the the models. plz explain the way to use. It is confusing
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Hello,
I've been trying to apply your method to a different environment, but I'm having issues at the reinforcement learning step. I was wondering if perhaps the trained vq_diffusion model was stru…
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Thanks for the great work.
I try to train the ldm model on ImageNet with 8 V100, but get a bad result.I found that loss was normal at first, but soon collapsed:
![image](https://user-images.githu…