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  1. This is pretty cool, are you willing to share more details? Like what model/architectures youโ€™re using?

  2. Iโ€™m training a text-to-audio latent diffusion model now so if all works well hopefully soon

  3. This is awesome, is this an open source project or an in house thing?

  4. Whats the deal with >Prompt shuffling (split on ',' or a custom string and shuffle based on a given probability)

  5. I was training some models where I wanted the prompt tags to be shuffled around as it went through the epochs. So you can specify a probability that the prompt will get split on the separator string. Seems to help with being able to place your tag anywhere in the prompt and still having it be recognized.

  6. [ัƒะดะฐะปะตะฝะพ]

  7. Use the mirror modify setting to merge the vertices in the center then just move the offending vertices over. Unless Iโ€™m misunderstanding the problem!

  8. May I inquire what method you are using? Iโ€™ve been experimenting with creating albedo/displacement/roughness/normal using stable diffusion but so far results havenโ€™t been good enough to post about. The best method so far has been training the depth model on displacement textures and having it output from a domain. But itโ€™s hard to get consistency between the different texture maps. When I try to train one model to generate all types of maps, it usually significantly affects the Normal maps. I recently did a run where I trained a model to accept an albedo map as input (concat to noisy latents) and trained for 10K steps to generate Normal maps. The textual results were pretty impressive but the colors were terrible. If you have any tips on what youโ€™re doing that would be greatly appreciated!

  9. The site does not offer roughness/normal/heightmaps

  10. Yeah, I shouldโ€™ve gone to the actual site before getting excited someone else was working on the same type of project lol!

  11. A few more angles and this might be able to be used for 3d model generation

  12. I canโ€™t wait to use this as a way for making base meshes for sculpting!

  13. So I saw all the videos people were making, and realised I have been fighting the consistency issue for years when making deepfakes. So my thinking was - could the way you train faces when making deepfakes help the issue of consistency?

  14. Oh yeah, I guess I should've been more clear on that one and probably not have even included it. That one is just "book king" not an actual person.

  15. Number 5 is giving me Michael Jackson vibes, though I'm fairly sure it isn't

  16. Once thereโ€™s a repo implementing that tech for stable diffusion Iโ€™m making 3D cohens

  17. I didnโ€™t want to make him pooping lol so hereโ€™s a random dump of images

  18. Yup! As long as you have enough vram (around 8-12gig should be good)

  19. Was the process of animation automated? Or did you do it frame by frame? How long did it take?

  20. It goes frame by frame, but the process is automated. Took just a couple hours for the stable diffusion rendering. The upscale to 4k with Topaz Video Enhance AI took the longest.

  21. Last day of the Halloween themed AI animations. Will give it a couple of days for people to find the posts and add their addresses, and then I will begin batch sending them off

  22. How do you make these buddy - looks awesome!!!

  23. Itโ€™s an AI diffusion model called stable diffusion! Let me know if you have any questions!

  24. Stable diffusion! Although itโ€™s a neural network and not a program.

  25. Wow so cool, love these animations where they warp and bend into new images as it zooms in, will you be making more like it in the future ?

  26. I definitely will be! Iโ€™m actively researching ways to improve the animations.

  27. [ัƒะดะฐะปะตะฝะพ]

  28. Woah nice. Anime please. Thank you

  29. Iโ€™ve definitely been keeping a very close eye on the JWST. Once itโ€™s dropped a nice amount of images Iโ€™m going to make a nebula v2

  30. Pvot says:

    I love Coke ! Iampvot.loopring.eth

  31. ๐ŸŽ‰๐Ÿš€ Animated Ape #2 has been sent to you! ๐ŸŽ‰๐Ÿš€

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