GET3D VS stable-diffusion-webui

Check out: https://github.com/nv-tlabs/GET3D

License looks open. Very demanding hardware requirements (8 A100s).

With CharTurner it might be possible to extrapolate out a 3D model 🤔 Nvidia was messing with it back in Fall of least year. https://github.com/nv-tlabs/GET3D

Get 3D Code: https://github.com/nv-tlabs/GET3D

GET3D

You are going to have a hard time from an SD image as you can't reliably get other angles to build a model, Nvidia's Get3D can try from a single image but the results are basic from what I can make out but I have not run it myself yet : https://github.com/nv-tlabs/GET3D

Honestly: I'm looking into getting a 4090, as someone with a 3090. I really, really push my card doing AI assisted video sequences, machine learning, simulations in blender, production for The largest metaverse convention in the world , and being able to record and stream to AV1 on the fly would be icing on the cake. Though I wish it had 48gb of Vram for custom ML training datasets to use nvidia's nerfs and tlabs Get3d, 24 will do for now. It also pushes through vr pretty well when paired with pci-e 5. Or running renderdoc or anything else. I'm currently working with a small team for an exhibit at Raindance Immersive, and I know the 30+ minutes it takes to generate 30 seconds of footage right now would be easially cut in half for this new show.

Do you have the resources to run https://github.com/nv-tlabs/GET3D to try to AI generate objects GPT-3 references?

* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.

- https://diffusionbee.com/

- https://github.com/comfyanonymous/ComfyUI

- https://github.com/AUTOMATIC1111/stable-diffusion-webui

I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...

I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.

But again, it would be nice to have first class support to locally participate in the fun.

In Auto1111, that just uses Image.blend. :)

https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...

I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.

That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.

Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094

version: v1.6.1  •  python: 3.10.13  •  torch: 2.0.1+cu118  •  xformers: 0.0.20  •  gradio: 3.41.2  •  checkpoint: 6e8d4871f8