thank you for your explanation but I'm not understanding the process of converting the image to an actual URL that you send to replicate. Is the URL publicly available and replicate is using it? Or you have a signed URL that can only be used by replicate?
Awesome tutorials guys! I deployed a different template and actually built upon it to make a whole new app. Mainly for personal use and sharing with my family. Is there a way to customize the ui Ux and remove vercel branding? I have been getting a lot of difficulty doing so as well as conflicts with test mode and development mode. Help would be appreciated.
@@HassanElMghari I get a "failed" response because "Not enough memory available to process your request. Try reducing the size or number of any file inputs or outputs. CUDA out of memory. Tried to allocate 15.55 GiB (GPU 0; 39.59 GiB total capacity; 32.13 GiB already allocated; 2.31 GiB free; 35.40 GiB reserved in total by PyTorch"
Great explanation, but I get a "failed" response because "Not enough memory available to process your request. Try reducing the size or number of any file inputs or outputs. CUDA out of memory. Tried to allocate 15.55 GiB (GPU 0; 39.59 GiB total capacity; 32.13 GiB already allocated; 2.31 GiB free; 35.40 GiB reserved in total by PyTorch" How do I fix this error? @Hassan El Mghari
It feels strange to poll repeatedly for whether or not an image has completed processing, on the server side. I imagine you could send it to the client and test there... In Cloudinary, when you do image transformations, you can use the link immediately, although it won't fully load until the transformation is complete. So maybe the photo restorer API should serve this a bit differently. I suppose they might have hooks for when it completes processing. But that would complicate the code some.
![CAMPปลิ้น | EP.82[1/2] แก๊ง 3 สาวเพื่อนซี้บุก CAMPปลิ้นครั้งนี้ห้ามเสียอาการ](http://i.ytimg.com/vi/_6WUjXHe1TM/mqdefault.jpg)
if your github or auth method is not google, pretty sure you cannot test the app. +, what's roomgpt doing there?
thank you for your explanation but I'm not understanding the process of converting the image to an actual URL that you send to replicate. Is the URL publicly available and replicate is using it? Or you have a signed URL that can only be used by replicate?
Awesome tutorials guys! I deployed a different template and actually built upon it to make a whole new app. Mainly for personal use and sharing with my family. Is there a way to customize the ui Ux and remove vercel branding? I have been getting a lot of difficulty doing so as well as conflicts with test mode and development mode. Help would be appreciated.
Why don't you use new App folder with server components?
Neat tutorial!
Thanks!
@@HassanElMghari I get a "failed" response because "Not enough memory available to process your request. Try reducing the size or number of any file inputs or outputs. CUDA out of memory. Tried to allocate 15.55 GiB (GPU 0; 39.59 GiB total capacity; 32.13 GiB already allocated; 2.31 GiB free; 35.40 GiB reserved in total by PyTorch"
Great explanation,
but I get a "failed" response because "Not enough memory available to process your request. Try reducing the size or number of any file inputs or outputs. CUDA out of memory. Tried to allocate 15.55 GiB (GPU 0; 39.59 GiB total capacity; 32.13 GiB already allocated; 2.31 GiB free; 35.40 GiB reserved in total by PyTorch"
How do I fix this error? @Hassan El Mghari
It feels strange to poll repeatedly for whether or not an image has completed processing, on the server side. I imagine you could send it to the client and test there...
In Cloudinary, when you do image transformations, you can use the link immediately, although it won't fully load until the transformation is complete. So maybe the photo restorer API should serve this a bit differently.
I suppose they might have hooks for when it completes processing. But that would complicate the code some.
Cut the crap weirdo
Please make video on meilisearch with nextjs
Cool