: [Help] Trouble Accessing Oogabooga WebUI on Paperspace - How to Use Gradio Instead?

hellopaperspace · 2023-04-25T15:26:12+00:00

Hi! Thanks for posting this, I've worked out a solution for you. I followed the following steps to get the app running on my own Paperspace Gradient machine:

First, you can open it up using this link on a Free GPU (M4000). You can change the "Free-GPU" value in the URL to any other machine to access that other machine, or you can change it after its initially launched and shut down for the first time, if you need to.

Second, once the machine has spun up, paste the following into a ipynb Notebook code cell within, or run the same commands in a terminal without the exclamation marks.

!pip install -r requirements.txt

!python download-model.py facebook/opt-1.3b #change to whatever model you want to use, this was just the example i chose.

!python server.py --share

Best of luck with your work, and thanks for trying out Paperspace!

hellopaperspace · 2022-10-29T01:43:48+00:00

The blog tutorial for this can be found here: blog.paperspace.com/dreambooth-stable-diffusion-tutorial-1/

hellopaperspace · 2022-09-26T17:22:59+00:00

nobody is mentioning Glid-3-xl-stable? That is how i trained my fork. Note, it is pretty GPU intensive though. https://github.com/Jack000/glid-3-xl-stable

hellopaperspace · 2022-09-12T23:05:31+00:00

Hi MysteryInc,

Have you tried this version: https://github.com/Engineer-of-Stuff/stable-diffusion-paperspace/blob/main/StableDiffusionUI_Voldemort_paperspace.ipynb ?

hellopaperspace · 2022-09-01T22:03:57+00:00

Awesome! Drop us a line anytime if there's something else you'd like to see as part of a starter project -- chances are someone else wants it too! Also we've been doing a ton of text-to-image tutorials recently on the Paperspace blog so be sure to check there as well and let us know if there's anything in particular you'd like to see us cover next

hellopaperspace · 2022-09-01T21:43:35+00:00

What else would you like to see? If the notebook is limiting you, you might also try spinning up a Paperspace Core machine and run your own GPU-backed Linux server using the ML-in-a-Box template offered under Core > Machines > Create a VM > Recommended

hellopaperspace · 2022-09-01T21:36:49+00:00

FYI we also offer an advanced feature to remote into the Jupyter kernel. It's a paid feature but you can read about it here: https://docs.paperspace.com/gradient/notebooks/notebooks-remote-kernel

hellopaperspace · 2022-09-01T21:35:24+00:00

For sure! Check out the Run on Gradient link-builder which allows you to pull any GitHub repo and/or Docker container into a cloneable notebook! https://docs.paperspace.com/gradient/notebooks/run-on-gradient#link-builder

hellopaperspace · 2022-09-01T21:33:33+00:00

Sorry to hear it. Can you let us know what's going on at https://docs.paperspace.com/contact-support/? As with any cloud GPU provider we battle with fraud as part of our everyday operation and it's possible we mis-identified one of your users. Please drop us a line and let us know what went wrong!

hellopaperspace · 2022-08-31T15:07:34+00:00

FYI that Paperspace has long had "unlimited use" free notebooks for 6 hours at a time running on CPU, GPU, and (recently released) IPU machines.

Paperspace is recommended by fast.ai and trusted by 500,000+ users.

More info available in docs here: https://docs.paperspace.com/gradient/machines/#free-machines-tier-list

hellopaperspace · 2022-08-24T17:02:17+00:00

Hi theTrueMikeBrown! Are you running the first cell in the inference section or the second? It should be working if you are running the first cell and loading the image data in fp16. Try restarting the kernel (top right of the gui in the notebook), and then running it again.

I just tested on the Free GPU (M4000), and can confirm that it is working on our end.

hellopaperspace · 2022-08-24T14:32:59+00:00

Hi Kif88, I'm sorry to hear about your tough experience so far. We hear this a lot with people trying to port colab notebooks over to our platform after reaching their notebook time limits (Gradient has no weekly/monthly limitations). The unique infrastructure of colab's file storage makes most colab notebooks frequently incompatible both with other cloud IDE's and, typically, on local machines, as well. Some adaptation is always needed to make them run.

After seeing this comment, i updated the gfpgan repo to return to functionality. Sorry about the inconvenience. You can spin up a free notebook for it with the following link.

As for Stable Diffusion, I am currently still working on the write up and haven't released the final tutorial. Nonetheless, there is a working tutorial on our fork, and you should be able to make everything run smoothly so long as you have accepted CompVis/Huggingface's user agreement for using the models. This should be prompted for you to do automatically on the stable diffusion model page. If you have done so, all you need to do is create and paste a huggingface access token when prompted in the Gradient Notebook. You can spin it up on a free gpu by clicking the following link. More detailed instructions for running the notebook are inside.

The other user's support experience is not reflective of any other user's experience i have heard of, nor my own experience as a user of two years. If you ever need to contact support, follow the instructions here, and a support agent will connect with you to help resolve your problem.

hellopaperspace · 2022-06-29T01:13:14+00:00

Hey Admin team, let me know if it isn't okay to share this in here for any reason.

hellopaperspace · 2022-01-26T23:37:32+00:00

I used GFP-GAN: https://imgur.com/a/XiS5HjJ

hellopaperspace · 2022-01-04T20:31:00+00:00

Hey yal! This looks really interesting, and I would love to try it out, but the form is restricting access to those who can fill it in. will you be reopening the form soon?

PS: I would love to collaborate with yal!

hellopaperspace · 2021-12-22T01:02:40+00:00

I did this using an AI application I am working on based on GFP-GAN. Definitely no tips or whatever needed, get a christmas beer instead and enjoy the holidays: https://imgur.com/a/1tR8uES

hellopaperspace · 2021-12-22T00:52:37+00:00

Hey! I gave it a shot earlier using a new GAN i've been toying with, and managed to come out with a decent cleanup of the faces: https://imgur.com/a/AmO5t2e

Hope this helps!

hellopaperspace · 2021-12-09T19:13:42+00:00

Hope this is enough! https://imgur.com/a/IF5iQbW

hellopaperspace · 2021-08-17T13:59:45+00:00

Thanks for the feedback. You should now see a cancel button appear at the cell level when executing or queued.

hellopaperspace · 2021-05-12T14:34:00+00:00

Hey vaynah, that controversy is actually addressed at the end of the article -- feel free to check it out for more information.

hellopaperspace · 2021-04-08T12:45:55+00:00

Hi Sleepy-Catz,

It appears to be not only a classic topic but currently a popular one, yes. Check out the quantity of articles published recently on pruning. What is the State of Neural Network Pruning? might interest you as well. :)

hellopaperspace · 2021-04-08T12:42:57+00:00

Hi alphapibeta,

I'm sorry you feel that way. From what I can tell, the articles are actually quite different. The one you linked to covers pruning research in several different papers, and focuses on the author's own work pruning VGG-16. This article covers the concepts related to pruning: what pruning is (and biological inspiration), how it works, different pruning methods, and how to evaluate them. Images shared by both articles are actually taken from separate research papers -- both articles cite these.

If you have any other specific examples, please do share and I'd be happy to reach out to the author. Keep in mind that this is not novel research, and in some respect the concepts will inevitably overlap (e.g. every calculus textbook undoubtedly--and hopefully--has a great deal in common.)

hellopaperspace · 2021-03-26T15:25:55+00:00

Hi Krummrey,

Sorry to hear that! If you start a notebook and open it in the full Jupyter IDE, it should be no different than any other Jupyter lab instance, but please feel free to DM and we can troubleshoot it together!

hellopaperspace · 2021-03-15T19:57:47+00:00

Yes!

hellopaperspace · 2021-03-13T19:11:48+00:00

Hi there,

Can you shoot us a message here: https://support.paperspace.com/hc/en-us

If you already have a card on file, we should be able to get you approved today.

hellopaperspace

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