Asyrp_official
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official repo for Asyrp : Diffusion Models already have a Semantic Latent Space (ICLR2023)
Hi, when trying to apply your script with the config https://github.com/kwonminki/Asyrp_official/blob/main/configs/celeba_p2.yml you get the following error: "sh script_get_lpips.sh INFO: underlay of /usr/bin/nvidia-smi required more than 50 (274) bind mounts INFO...
Hi, Great work, do you have any idea how we could extend your model to text-to-image conditioned diffusion models?
In the dataset portion you have the following: ``` --custom_train_dataset_dir "your/costom/datset/dir/train" \ --custom_test_dataset_dir "your/costom/dataset/dir/test" \ ``` and just wanted to say it should be "custom" (small nitpick : ))
Hi, first thank you for your amazing work! However, I have some questions in part related to the other issues here. 1) How can I do standard inference with the...
Hello, I have trained a diffusion model with a custom dataset using P2 weighting (the training code in the guided_diffusion folder), however, the generated samples are not correct when I...
Thanks for you work! I tried to reproduce the results for "happy dog" using released pretrained models but the performance was bad. Here are the settings of inference scripts. ```...
(.venv) user@DESKTOP:~/Asyrp_official$ pip install -r requirements.txt Collecting blobfile==1.3.1 Using cached blobfile-1.3.1-py3-none-any.whl (70 kB) ERROR: Could not find a version that satisfies the requirement clip==1.0 (from versions: 0.0.1, 0.1.0, 0.2.0) ERROR:...
Hi, I want ton replicate the results on google colab using [this notebook](https://colab.research.google.com/drive/10bequy8HNjrm15opswaIHMMafoBFTcaX?usp=sharing) using the default settings in ```script_inference.sh``` but this is url is throwing 403 error https://github.com/kwonminki/Asyrp_official/blob/a6c82dc760849dd4c1e878990ce38e824967e5b0/diffusion_latent.py#L84-L85
Thanks for your work! I am trying to train Asyrp for animal face editing on my own device. For attribute _'Happ Dog'_ , the training setting is as below: ```...
Thanks for your great work! I want to train Asyrp on some new domain, and I saw #4 that I need to train my own diffusion model first in order...