Vahe Hakobyan

You're simply running out of memory. You see Titan X has 12 GB of physical memory and 2 logical devices each 6 GB. If you run nvidia-smi you will see...

try with smaller batch size, let's say 2 and see how much memory it takes

@bucktoothsir hey :) try to reduce lambda_tv, like put it to 1e-5. Also did you preserve all other parameters as defaults ?

hi @patil-suraj @sayakpaul, was wondering if this is something interesting for you to look into ? Feedback is appreciated

> I've experimented with finetuning proper inpainting models before. I strongly urge you to read the LAMA paper (https://arxiv.org/pdf/2109.07161.pdf) and implement their masking strategy (which is what is used by...

@sayakpaul I have adapted masking strategy from LAMA paper on my local branch. I have a question, is it according to guidelines to have a config file properties for the...

@sayakpaul I think it's a github glitch. :) to the extent that I cannot reply you there. https://github.com/cryptexis/diffusers/blob/sd_15_inpainting/examples/inpainting/train_inpainting.py#L771 - in my repo I do not have anything similar to it...

> I think we also need to add a test case here. I see a lot of `https://huggingface.co/hf-internal-testing` is used in the testing. Are usual mortals able to add unit...

## Examples Training with Random Masking ### Inference with Square Mask (as before) #### Prompt: a drawing of a green pokemon with red eyes ##### pre-trained stable-diffusion-inpainting  ##### fine-tuned...

> Looking good. I think the only that is pending now is the testing suite. @sayakpaul worked yesterday on the tests. Hit a wall. Then tried to run tests for...