KyonP

Results 10 issues of KyonP

I'm tutorial myself with your seq2seq tutorial code. error pop out this lines `output_words, attentions = evaluate("je suis trop froid .") plt.matshow(attentions.numpy())` `--------------------------------------------------------------------------- KeyError Traceback (most recent call last) in...

I'm following the tutorial (https://google.github.io/seq2seq/nmt/), but can't run the code. Actually, I'm not understanding the code explained in the tutorial. Do I have to type all those arguments in the...

I am trying to train stable-diffusion models for my custom text2img dataset. Still struggling to fit into my 3090 24GB VRAM; maybe this code is the solution. Example config YAML...

I am sorry that I cannot provide my python Traceback log (already reverted my code, sadly). I was trying to update my previous code based on SD v1, I faced...

question

I was following the instructions for training the FFHQ dataset. And I've faced this error ``` (ldm) user99@fd5a72f3f***:/home/user99/stable-diffusion# CUDA_VISIBLE_DEVICES=0 python main.py --base configs/latent-diffusion/ffhq-ldm-vq-4.yaml -t --gpus 0 Global seed set to...

I am trying to finetune the code with my custom dataset (50000 images with text descriptions). and it stops during the training phase. It seems it happens whenever the code...

Hello, I hope your research goes well. 😀 I am trying to evaluate the metrics that you proposed for my model. I have read your paper. However, I am asking...

To author, First of all, on behalf of our lab member who published the original Pororo dataset (K.M. Kim), we very much appreciated that this dataset is still alive and...

I am trying to gather generated images from your best-performing checkpoint, and I faced this error. ``` (ldm) root@2157b047841c:/home/my/storydalle/story-dalle# bash infer_story.sh pororo Evaluating on Pororo ╭─────────────────────────────── Traceback (most recent call...

This repo greatly helped my finetuning process. Thanks. I am wondering if these resulting checkpoints, which are produced by this code in `lightning_logs/version_#/checkpoints/~~~.ckpt,` are compatible with `clip.load`? I could `torch.load`...