5 ms·
Is there any service offering user-friendly access to open source DL models? Paid is fine.
by vslira 4y ago
Is there any service offering user-friendly access to open source DL models? Paid is fine.
- fragmede 4y agohttp://beta.dreamstudio.ai http://beta.dreamstudio.ai is the official paid Stable Diffusion webUI.
- Silverback_VII 4y agoI liked it until I noticed that it costs me $10 a day. I'm also not sure if they support img2img. I have used huggingface and then replicate for it(NSFW filter is very annoying).
- skybrian 4y agoUnless you’re looking at something else, it’s not per day, it’s a credit system that amounts to about 1 cent per image. How many images do you plan to generate a day?
- Silverback_VII 4y agoyes, it's per image but for some reason I easily rushed through the 1000 generations in one day.
- MattRix 4y agoWell you’ve gotta either run it locally or pay for it. The GPUs this stuff runs on are too expensive to offer unlimited use for free.
- Silverback_VII 4y agoI'm not against paying but it should be somewhat raisonnable. to put things into perspective: Colab pro only costs about $10/month and you will probably be able to generate at the same speed.
- MattRix 4y agoFor uses like that Colab costs Google more than they earn. It would make no sense to base a business around that model.
- skybrian 4y agoI did too, but I bought another 1000 generations and haven't run out yet. Many days I don't use it at all. I like it better than a monthly subscription like MidJourney.
- cercatrova 4y agoJust use Google Colab, it's free indefinitely because Google is paying for it.
- fassssst 4y agoMidjourney uses Stable Diffusion now too in their beta version.
- adammarples 4y agoThe stable diffusion repo itself is free, and you can get the model from hugging face, also for free. Runs on my 1070 easily.
- gibbonsrcool 4y agoIf you have over 4MB VRAM you can run it locally. I've been experimenting recently and find that even with 10MB VRAM I can only get 256x256 resolution images. I have a Dockerfile I can share that packages up the install process and removes censorship if anyone is interested. I find the censoring is extremely conservative.
- arthurcolle 4y agoPlease do share. I did the same and have it but having trouble deploying it to a prod GPU server, still figuring it out.
- gibbonsrcool 4y agoHere you go: https://gist.github.com/gvbl/9231406c54e7c9fd37abdfa6c697fe5f https://gist.github.com/gvbl/9231406c54e7c9fd37abdfa6c697fe5... You can run it with a command like this (I'm on windows): docker run -it -v <model file path>:/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt -v <outputs folder>:/stable-diffusion/outputs -v <inputs folder>:/stable-diffusion/inputs -v <cache folder>:/root/.cache --gpus all knightley python /stable-diffusion/scripts/txt2img.py --W 256 --H 256 --prompt "a horse wearing a top hat" assuming you build the image and tag it "knightley"
- iforgotpassword 4y agoHuh, I've been using the docker container by cmd2 and been doing 512x512 just fine with 8GB. Are you on Windows by any chance?
- gibbonsrcool 4y agoYes, windows with a RTX 2070 Super. The logs say the app is trying allocate just a few hundred MB more than what I have. I'm reasonably happy with 256x256 for now, just messing around.