Why all the downvotes? General AI hate drive-by nastiness? Or did I do something wrong?
Free Open-Source Artificial Intelligence
Welcome to Free Open-Source Artificial Intelligence!
We are a community dedicated to forwarding the availability and access to:
Free Open Source Artificial Intelligence (F.O.S.A.I.)
More AI Communities
LLM Leaderboards
Developer Resources
GitHub Projects
FOSAI Time Capsule
- The Internet is Healing
- General Resources
- FOSAI Welcome Message
- FOSAI Crash Course
- FOSAI Nexus Resource Hub
- FOSAI LLM Guide
i think so, yes. i believe that FOSAI is mooostly about language and embedding models and such and less about image, video and audio gen.
and also yesssss, the community is on lemmy world, so many people will see the post, see image gen and dislike. that's just how it be.
i don't got an answer to your question, sorry. am not an image gen kinda person.
Thanks for your kind answer. Maybe I'll ask in the stable-diffusion community in case I don't get any answers. I just figured I'm massively into open source and maybe I'll find some similar-minded people here. And/or people who don't do it all day as a hobby and have a beefy graphics card and super elaborate setups... Because I don't, I just want it as a tool ๐
Because Lemmy.
This is the corner of the internet where youโll find people who hate AI with a burning passion. Apparently, some of them were scrolling local or all, and stumbled upon your post. Some people just downvote without even checking which community the post is in.
Stable Diffusion is open source and at least has options for all of that in the web UI (which you can host locally).
I wouldn't bet on successful runs on a latop, though. I have a powerful desktop gaming rig, and I still get OOM (out of memory) errors trying to do things with it.
Of course, there's definitely a crazy learning curve for optimizing this stuff. So by "can't work on a laptop" what I really mean is that I couldn't get it working on my laptop, when I tried.
A while ago automatic111 was the way to go for easy image manipulation with diffusion models but people seem to have largely migrated to Comfy for, well anything, for better or worse.
I finally bit the bullet when I wanted to try krea2. And I recommend it. You will be doing things in less than 3 hours if you know what is a latent and a clip model. Start from a working workflow close to what you want to do and fiddle from there.
If you want models recommendation, you should post your VRAM budget.
For image editing there are basically two ways of doing it:
-
models especially trained o modify an image from a text prompt like qwen image. Some accept several image references and you can do things like "person from picture 1 in the setting from picture 2 and smoking a cigarette"
-
models that do inpainting, which is most image generation models, it is the tooling around them that does the fiddling: feed them the base image and the mask you want to fill, as well as a prompt and it will fill the mask with what you proposed.
Comfy has a masks editor and allows you easily to transform a pipeline into an app.
I kinda understand why everyone moved to there because the field is moving fast and it is much easier to write nodes for a new part that re-designing a whole workflow like automatic111 used to do.
I started with Auto1111, then moved to comfy, then started bouncing between tools including Invoke. Auto1111 feels antiquated (mostly due to it's setup process), Comfy has been good but there's so many nodes it can take an hour or more to setup a workflow I downloaded (plus many nodes are using the cloud which I want to avoid). Invoke has been nice for the few days I've used it and the biggest negative so far is dealing with the layering biz in the canvas.
How does krea2 compare?
Yeah, my VRAM budged is a bit of an issue. I don't own any GPU ๐ So I'm basically fine with every recommendation. Either it's some "Turbo" model doing just 4 steps, I'll be patient run it on CPU and just wait 20min for my image being edited... Or I'm gonna have to rent a bit of compute on a service like Runpod. I can do both. And cloud compute can do 80GB of VRAM or whatever I put in. It's just that I'd like to know what to try beforehand, because I then get billed by the minute.